This is a note experimenting on the inconsistency issue of LIME and how BayLIME (with 3 options) improves on it

In [1]:
import sys
sys.path.append("..")# allow the notebook to find the parent folder
from sklearn.datasets import load_boston,load_breast_cancer
import sklearn.ensemble
import sklearn.linear_model
import sklearn.model_selection
import numpy as np
from sklearn.metrics import r2_score
np.random.seed(1)
import lime
import lime.lime_tabular
from lime import submodular_pick
from lime import calculate_posteriors
import csv
import math


#load example dataset
boston = load_boston()
#cancer= load_breast_cancer()

#print a description of the variables
print(boston.DESCR)
#print(cancer.DESCR)

#train a regressor
rf = sklearn.ensemble.RandomForestRegressor(n_estimators=1000)
train, test, labels_train, labels_test = sklearn.model_selection.train_test_split(boston.data, boston.target, train_size=0.80, test_size=0.20)
rf.fit(train, labels_train);

#train a classifier
# rf = sklearn.ensemble.RandomForestClassifier(n_estimators=1000)
# train, test, labels_train, labels_test = sklearn.model_selection.train_test_split(cancer.data, cancer.target, train_size=0.80, test_size=0.20)
# rf.fit(train, labels_train);
.. _boston_dataset:

Boston house prices dataset
---------------------------

**Data Set Characteristics:**  

    :Number of Instances: 506 

    :Number of Attributes: 13 numeric/categorical predictive. Median Value (attribute 14) is usually the target.

    :Attribute Information (in order):
        - CRIM     per capita crime rate by town
        - ZN       proportion of residential land zoned for lots over 25,000 sq.ft.
        - INDUS    proportion of non-retail business acres per town
        - CHAS     Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
        - NOX      nitric oxides concentration (parts per 10 million)
        - RM       average number of rooms per dwelling
        - AGE      proportion of owner-occupied units built prior to 1940
        - DIS      weighted distances to five Boston employment centres
        - RAD      index of accessibility to radial highways
        - TAX      full-value property-tax rate per $10,000
        - PTRATIO  pupil-teacher ratio by town
        - B        1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
        - LSTAT    % lower status of the population
        - MEDV     Median value of owner-occupied homes in $1000's

    :Missing Attribute Values: None

    :Creator: Harrison, D. and Rubinfeld, D.L.

This is a copy of UCI ML housing dataset.
https://archive.ics.uci.edu/ml/machine-learning-databases/housing/


This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.

The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic
prices and the demand for clean air', J. Environ. Economics & Management,
vol.5, 81-102, 1978.   Used in Belsley, Kuh & Welsch, 'Regression diagnostics
...', Wiley, 1980.   N.B. Various transformations are used in the table on
pages 244-261 of the latter.

The Boston house-price data has been used in many machine learning papers that address regression
problems.   
     
.. topic:: References

   - Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 244-261.
   - Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.

In [2]:
# generate an "explainer" object
categorical_features  = np.argwhere(np.array([len(set(boston.data[:,x])) for x in range(boston.data.shape[1])]) <= 10).flatten()


explainer = lime.lime_tabular.LimeTabularExplainer(train, feature_names=boston.feature_names, 
                                                   class_names=['price'], categorical_features=categorical_features, 
                                                    verbose=False, mode='regression',
                                                   discretize_continuous=False,feature_selection='none',
                                                   sample_around_instance=False)

# An example of classifier, rather than regressor...
# categorical_features = np.argwhere(np.array([len(set(cancer.data[:,x])) for x in range(cancer.data.shape[1])]) <= 10).flatten()

# explainer = lime.lime_tabular.LimeTabularExplainer(train, feature_names=cancer.feature_names, 
#                                                    categorical_features=categorical_features, 
#                                                    class_names=cancer.target_names,
#                                                    verbose=False, mode='classification',
#                                                    discretize_continuous=False,
#                                                    feature_selection='none')


#generate an explanation for testing..
instance = 3
#use rf.predict_proba for classfication 
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                 model_regressor='Bay_non_info_prior',
                                 num_samples=100,
                                 #labels=labels_test[i],
                                 )#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior'

exp.show_in_notebook(show_table=True)
#fig = exp.as_pyplot_figure(label=1)



print(exp.as_list())
#fig = exp.as_pyplot_figure(label=2)
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2821837772437905
the lambda is 0.5487903510433139
the regulation term lambda/alpha is 1.9447976648536767
[('LSTAT', -3.7117749701142193), ('RM', 1.8850031611392262), ('DIS', -1.0574761832021675), ('INDUS', -0.7839854507722949), ('TAX', -0.7446005752975973), ('NOX', -0.5775207670268152), ('CRIM', 0.5404029713137755), ('AGE', -0.40338448542779126), ('CHAS=0', -0.3850283021298633), ('RAD=4', -0.3007915034372075), ('B', -0.2110945112354009), ('ZN', -0.12024413153519864), ('PTRATIO', -0.06444912186641441)]
In [3]:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                  model_regressor='BayesianRidge_inf_prior_fit_alpha',
                                  num_samples=100,
                                  #labels=labels_test[i],
                                  top_labels=1)
#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior', 'BayesianRidge_inf_prior_fit_alpha'
  

alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
    csv_reader=csv.reader(csv_file)
    line_count = 0
    for row in csv_reader:
        if line_count == 1:
            alpha_init=float(row[0])
            lambda_init=float(row[1])
        line_count=line_count+1

exp.show_in_notebook(show_table=True)

exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
                                        label=1)

exp.show_in_notebook(show_table=True)
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2572846550877491
the lambda is 2.0
the regulation term lambda/alpha is 7.773491191372774
In [4]:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                  model_regressor='Bay_info_prior',
                                  num_samples=100,
                                  #labels=labels_test[i],
                                  top_labels=1)
#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior', 'BayesianRidge_inf_prior_fit_alpha'
  

alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
    csv_reader=csv.reader(csv_file)
    line_count = 0
    for row in csv_reader:
        if line_count == 1:
            alpha_init=float(row[0])
            lambda_init=float(row[1])
        line_count=line_count+1

exp.show_in_notebook(show_table=True)

exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
                                        label=1)

exp.show_in_notebook(show_table=True)
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
In [5]:
exp.as_list()
Out[5]:
[('LSTAT', -4.574269203719008),
 ('RM', 1.7203511978075454),
 ('DIS', -1.3533428321434107),
 ('PTRATIO', -0.3757520330750844),
 ('TAX', -0.2934330625075643),
 ('RAD=4', -0.2809675686099691),
 ('B', 0.247792931167461),
 ('CHAS=0', -0.1807569361402992),
 ('ZN', -0.17834242928188765),
 ('NOX', -0.09198945800501514),
 ('CRIM', 0.08136795875849968),
 ('INDUS', 0.06967150517368757),
 ('AGE', 0.011447210336717938)]
In [6]:
k=3#number of explanations 
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
    exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                 model_regressor='Bay_non_info_prior',
                                 num_samples=100,
                                 #labels=labels_test[i],
                                 )#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
    temp_list=exp.as_list()
    temp_array = np.array(temp_list)
    explanations=np.append(explanations,temp_array)
    i=i+1
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3756786550639776
the lambda is 0.5513220738128569
the regulation term lambda/alpha is 1.4675363276068147
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.251708090554997
the lambda is 0.4811493752952507
the regulation term lambda/alpha is 1.9115371867243254
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3571166937389321
the lambda is 0.4782801736792113
the regulation term lambda/alpha is 1.3392825988382804
In [7]:
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance.. 
In [8]:
for exp in exps:
    #print(exp)
    i=1
    temp_vector=np.array([])
    while i<=(2*m-1):
        temp_vector=np.append(temp_vector,float(exp[i]))
        i=i+2
    #print(temp_vector)
    normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
    #print(normlised_temp_vector)
    i=1
    while i<=(2*m-1):
        exp[i]=normlised_temp_vector[math.floor(i/2)]
        i=i+2
In [9]:
print(exps)
[['LSTAT' '-0.8066048395873953' 'RM' '0.3534211584807102' 'CHAS=0'
  '-0.2663661763123778' 'PTRATIO' '-0.2158419330851548' 'DIS'
  '-0.20857729278264972' 'TAX' '-0.16094573807918228' 'B'
  '0.12007040620142352' 'RAD=4' '-0.093526812375778' 'NOX'
  '-0.08937232544222505' 'AGE' '-0.061692424471191394' 'INDUS'
  '-0.047648124966020264' 'CRIM' '0.013750802449920253' 'ZN'
  '-0.010883777345780431']
 ['LSTAT' '-0.8558428207529889' 'RM' '0.39307863466990733' 'DIS'
  '-0.17236990524108228' 'RAD=4' '-0.16419416610483534' 'PTRATIO'
  '-0.15618642661565546' 'AGE' '-0.13230554125748603' 'CRIM'
  '-0.08890840422960931' 'INDUS' '0.05939566627771297' 'TAX'
  '-0.04069523820258217' 'B' '-0.029790752966329173' 'NOX'
  '0.017320782793975' 'CHAS=0' '0.010967692662899329' 'ZN'
  '0.007466453018965512']
 ['LSTAT' '-0.8279838012542706' 'RM' '0.3399687523683637' 'DIS'
  '-0.33222481527283954' 'CRIM' '0.15326085484966467' 'INDUS'
  '-0.1492749068223042' 'TAX' '-0.14042791967863635' 'PTRATIO'
  '-0.10671159238148356' 'ZN' '-0.0858551987939331' 'AGE'
  '0.04420364602374686' 'RAD=4' '-0.03734893906484879' 'NOX'
  '-0.029190080405645042' 'B' '-0.006254311671579373' 'CHAS=0'
  '-0.0005426242287322127']]
In [10]:
feature_names=np.array([])
i=0
while i<=(2*m-1):
    feature_names=np.append(feature_names,exps[0,i])
    i=i+2
print(feature_names)
['LSTAT' 'RM' 'CHAS=0' 'PTRATIO' 'DIS' 'TAX' 'B' 'RAD=4' 'NOX' 'AGE'
 'INDUS' 'CRIM' 'ZN']
In [11]:
def rankings_in_k_exp (feature, k_exps):
    ranks=np.array([])
    for exp in k_exps:
        rank=math.ceil(exp.tolist().index(feature)/2)+1
        ranks=np.append(ranks,rank)
    return ranks

print(rankings_in_k_exp('LSTAT',exps))
[1. 1. 1.]
In [12]:
def importance_in_k_exp (feature, k_exps):
    importance_s=np.array([])
    for exp in k_exps:
        importance=exp[exp.tolist().index(feature)+1]
        importance_s=np.append(importance_s,importance)
    return importance_s

print(importance_in_k_exp('INDUS',exps))
['-0.047648124966020264' '0.05939566627771297' '-0.1492749068223042']
In [13]:
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
    g_i=importance_in_k_exp(feature,exps)
    f_i=rankings_in_k_exp(feature,exps)
    g_i_s=np.append(g_i_s,g_i)
    f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
print(g_i_s)
print(f_i_s)
[['-0.8066048395873953' '-0.8558428207529889' '-0.8279838012542706']
 ['0.3534211584807102' '0.39307863466990733' '0.3399687523683637']
 ['-0.2663661763123778' '0.010967692662899329' '-0.0005426242287322127']
 ['-0.2158419330851548' '-0.15618642661565546' '-0.10671159238148356']
 ['-0.20857729278264972' '-0.17236990524108228' '-0.33222481527283954']
 ['-0.16094573807918228' '-0.04069523820258217' '-0.14042791967863635']
 ['0.12007040620142352' '-0.029790752966329173' '-0.006254311671579373']
 ['-0.093526812375778' '-0.16419416610483534' '-0.03734893906484879']
 ['-0.08937232544222505' '0.017320782793975' '-0.029190080405645042']
 ['-0.061692424471191394' '-0.13230554125748603' '0.04420364602374686']
 ['-0.047648124966020264' '0.05939566627771297' '-0.1492749068223042']
 ['0.013750802449920253' '-0.08890840422960931' '0.15326085484966467']
 ['-0.010883777345780431' '0.007466453018965512' '-0.0858551987939331']]
[[ 1.  1.  1.]
 [ 2.  2.  2.]
 [ 3. 12. 13.]
 [ 4.  5.  7.]
 [ 5.  3.  3.]
 [ 6.  9.  6.]
 [ 7. 10. 12.]
 [ 8.  4. 10.]
 [ 9. 11. 11.]
 [10.  6.  9.]
 [11.  8.  5.]
 [12.  7.  4.]
 [13. 13.  8.]]
In [14]:
#now calculate the index of dispersion of ranks for each feature
IoD_f_i_s=np.array([])
for f_i in f_i_s:
    if np.mean(f_i)==0:
        IoD_f_i=0
        IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
    else:
        IoD_f_i=np.var(f_i)/np.mean(f_i)
        IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
print(IoD_f_i_s)
[0.         0.         2.16666667 0.29166667 0.24242424 0.28571429
 0.43678161 0.84848485 0.08602151 0.34666667 0.75       1.42028986
 0.49019608]
In [15]:
#now calculate the weighted importance for each feature
weights_g_i_s=np.array([])
for g_i in g_i_s:
    weight=np.mean(abs(g_i.astype(np.float)))
    weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
print(weights_g_i_s)
[0.36460607 0.15906201 0.04068189 0.07008886 0.10441036 0.05007983
 0.02285574 0.04319905 0.01989368 0.03487338 0.03752577 0.03746741
 0.01525596]
In [16]:
np.dot(weights_g_i_s,IoD_f_i_s)
Out[16]:
0.2974815493882417
In [17]:
def kendall_w(expt_ratings):
    if expt_ratings.ndim!=2:
        raise 'ratings matrix must be 2-dimensional'
    m = expt_ratings.shape[0] #raters
    n = expt_ratings.shape[1] # items rated
    denom = m**2*(n**3-n)
    rating_sums = np.sum(expt_ratings, axis=0)
    S = n*np.var(rating_sums)
    return 12*S/denom
In [18]:
ken_w=kendall_w(f_i_s.T)
print(ken_w)
0.663003663003663

Now we have shown a toy example of calculating the inconsistency of k explanations for a given number of samples, while we want to see inconsistency as a function of the number of samples... Let us do it now...

In [19]:
n=10 #number of samples
inconsistency_non_info=np.array([])
ken_w_non_info=np.array([])
while n<=1000:


    k=100#number of explanations 
    m=13# number of features
    i=1
    instance=3
    explanations=np.array([])
    while i<=k:
        exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                         model_regressor='Bay_non_info_prior',
                                         num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
        temp_list=exp.as_list()
        temp_array = np.array(temp_list)
        explanations=np.append(explanations,temp_array)
        i=i+1
    exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance.. 
    for exp in exps:
    #print(exp)
        i=1
        temp_vector=np.array([])
        while i<=(2*m-1):
            temp_vector=np.append(temp_vector,float(exp[i]))
            i=i+2
    #print(temp_vector)
        normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
    #print(normlised_temp_vector)
        i=1
        while i<=(2*m-1):
            exp[i]=normlised_temp_vector[math.floor(i/2)]
            i=i+2
    feature_names=np.array([])
    i=0
    while i<=(2*m-1):
        feature_names=np.append(feature_names,exps[0,i])
        i=i+2
    
    g_i_s=np.array([])
    f_i_s=np.array([])
    for feature in feature_names:
        g_i=importance_in_k_exp(feature,exps)
        f_i=rankings_in_k_exp(feature,exps)
        g_i_s=np.append(g_i_s,g_i)
        f_i_s=np.append(f_i_s,f_i)
    g_i_s=g_i_s.reshape(m,k)
    f_i_s=f_i_s.reshape(m,k)
    IoD_f_i_s=np.array([])
    for f_i in f_i_s:
        if np.mean(f_i)==0:
            IoD_f_i=0
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
        else:
            IoD_f_i=np.var(f_i)/np.mean(f_i)
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
    weights_g_i_s=np.array([])
    for g_i in g_i_s:
        weight=np.mean(abs(g_i.astype(np.float)))
        weights_g_i_s=np.append(weights_g_i_s,weight)
    weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
    
    inconsistency_non_info=np.append(inconsistency_non_info,np.dot(weights_g_i_s,IoD_f_i_s))
    
    ken_w_non_info=np.append(ken_w_non_info,kendall_w(f_i_s.T))
    
    print(n)
    n=n+10
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500001.23715843813
the lambda is 0.16278626887760012
the regulation term lambda/alpha is 3.2557173218756883e-07
using Bay_non_info_prior option for model regressor
Convergence after  30  iterations
the alpha is 0.19671090813521402
the lambda is 2.1581111584030457
the regulation term lambda/alpha is 10.970978573895941
using Bay_non_info_prior option for model regressor
Convergence after  30  iterations
the alpha is 0.29337017323318254
the lambda is 1039.1583278213554
the regulation term lambda/alpha is 3542.140349064696
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 499999.5676290682
the lambda is 0.27653036540013287
the regulation term lambda/alpha is 5.530612090554463e-07
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 1.0813439765546673
the lambda is 0.18360972402138065
the regulation term lambda/alpha is 0.1697977036006528
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 499998.9515080224
the lambda is 0.20119069549921967
the regulation term lambda/alpha is 4.0238223478752956e-07
using Bay_non_info_prior option for model regressor
Convergence after  33  iterations
the alpha is 499998.78405382193
the lambda is 0.25290363499652835
the regulation term lambda/alpha is 5.058085000648817e-07
using Bay_non_info_prior option for model regressor
Convergence after  63  iterations
the alpha is 0.43319979563652256
the lambda is 0.30730497308308824
the regulation term lambda/alpha is 0.7093839290287507
using Bay_non_info_prior option for model regressor
Convergence after  31  iterations
the alpha is 1.1482508950627877
the lambda is 0.7719344867932629
the regulation term lambda/alpha is 0.6722698759586446
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 499999.3745763536
the lambda is 0.13314180119908886
the regulation term lambda/alpha is 2.6628393547871756e-07
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 500000.0225871617
the lambda is 0.12198081442435563
the regulation term lambda/alpha is 2.4396161782791024e-07
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 500000.6434077526
the lambda is 0.2942698116318128
the regulation term lambda/alpha is 5.885388659226875e-07
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500003.44234799285
the lambda is 0.3803542500066129
the regulation term lambda/alpha is 7.607032628025261e-07
using Bay_non_info_prior option for model regressor
Convergence after  60  iterations
the alpha is 0.11307755608417545
the lambda is 379.09006306269055
the regulation term lambda/alpha is 3352.478389084516
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.6043528721119776
the lambda is 1.7093794171362953
the regulation term lambda/alpha is 2.828445922930226
using Bay_non_info_prior option for model regressor
Convergence after  28  iterations
the alpha is 0.2785457822036801
the lambda is 0.3453664295131363
the regulation term lambda/alpha is 1.2398910756458525
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 500001.27559836424
the lambda is 0.30116851572746534
the regulation term lambda/alpha is 6.023354947785869e-07
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 500001.3370857012
the lambda is 0.44538196148897585
the regulation term lambda/alpha is 8.907615409289126e-07
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 499999.13515061076
the lambda is 0.6452858084726029
the regulation term lambda/alpha is 1.2905738492492162e-06
using Bay_non_info_prior option for model regressor
Convergence after  170  iterations
the alpha is 8.18492085191159
the lambda is 1.0562400383856765
the regulation term lambda/alpha is 0.12904706807751126
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 500004.4559694087
the lambda is 0.42319273880172975
the regulation term lambda/alpha is 8.463779347350888e-07
using Bay_non_info_prior option for model regressor
Convergence after  51  iterations
the alpha is 0.3522521798461745
the lambda is 1.8760783731038466
the regulation term lambda/alpha is 5.3259524864348995
using Bay_non_info_prior option for model regressor
Convergence after  51  iterations
the alpha is 2.909900850837532
the lambda is 0.16317629342034332
the regulation term lambda/alpha is 0.05607623825855705
using Bay_non_info_prior option for model regressor
Convergence after  27  iterations
the alpha is 2.773371817166914
the lambda is 0.5563594359162782
the regulation term lambda/alpha is 0.2006075898198954
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500000.8600014693
the lambda is 0.30234124572191834
the regulation term lambda/alpha is 6.046814513899633e-07
using Bay_non_info_prior option for model regressor
Convergence after  85  iterations
the alpha is 0.9815514419759905
the lambda is 1.7143647880107218
the regulation term lambda/alpha is 1.7465867958580783
using Bay_non_info_prior option for model regressor
Convergence after  57  iterations
the alpha is 1.7250528273709975
the lambda is 0.621017746251483
the regulation term lambda/alpha is 0.35999926286195066
using Bay_non_info_prior option for model regressor
Convergence after  24  iterations
the alpha is 1.2777408532722985
the lambda is 0.8899311214163103
the regulation term lambda/alpha is 0.6964879608703077
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 500002.099531238
the lambda is 0.22723178235548333
the regulation term lambda/alpha is 4.5446165639807847e-07
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 1.052251458940713
the lambda is 0.5338043645938348
the regulation term lambda/alpha is 0.5072973385384595
using Bay_non_info_prior option for model regressor
Convergence after  32  iterations
the alpha is 0.25750350615728523
the lambda is 0.48220764948221684
the regulation term lambda/alpha is 1.872625568009472
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500000.33231987647
the lambda is 0.1520951942619395
the regulation term lambda/alpha is 3.0419018634698865e-07
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.8768321798440574
the lambda is 0.5406137527476393
the regulation term lambda/alpha is 0.6165532757292123
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 499999.8494886471
the lambda is 0.3134212667601766
the regulation term lambda/alpha is 6.268427222142456e-07
using Bay_non_info_prior option for model regressor
Convergence after  53  iterations
the alpha is 0.565574492190224
the lambda is 0.7898076223985678
the regulation term lambda/alpha is 1.3964696663387106
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 500000.1527680261
the lambda is 0.3450143141290641
the regulation term lambda/alpha is 6.900284174295696e-07
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 500001.3159205463
the lambda is 0.39164289277218356
the regulation term lambda/alpha is 7.832837240660749e-07
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 500002.58816756547
the lambda is 0.42970422125737534
the regulation term lambda/alpha is 8.594039939516651e-07
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 500004.5655832122
the lambda is 0.745090917466889
the regulation term lambda/alpha is 1.4901682279596883e-06
using Bay_non_info_prior option for model regressor
Convergence after  26  iterations
the alpha is 499999.7245547257
the lambda is 0.3075671382537031
the regulation term lambda/alpha is 6.151346153792518e-07
using Bay_non_info_prior option for model regressor
Convergence after  55  iterations
the alpha is 0.3082687215820797
the lambda is 0.588021051180796
the regulation term lambda/alpha is 1.9074950198092977
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500000.4381993502
the lambda is 0.3151792020470471
the regulation term lambda/alpha is 6.303578516492922e-07
using Bay_non_info_prior option for model regressor
Convergence after  26  iterations
the alpha is 499999.58017165464
the lambda is 0.19017024290924311
the regulation term lambda/alpha is 3.80340805174188e-07
using Bay_non_info_prior option for model regressor
Convergence after  21  iterations
the alpha is 499996.89281620213
the lambda is 0.4736973563751563
the regulation term lambda/alpha is 9.47400600245903e-07
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 500000.2482837201
the lambda is 0.8471865617034418
the regulation term lambda/alpha is 1.6943722820367765e-06
using Bay_non_info_prior option for model regressor
Convergence after  43  iterations
the alpha is 500000.07873747754
the lambda is 0.43288854577529123
the regulation term lambda/alpha is 8.657769552123953e-07
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 500001.78674787906
the lambda is 1.0409218497324608
the regulation term lambda/alpha is 2.081836260031877e-06
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500000.0216771023
the lambda is 0.3138295741402008
the regulation term lambda/alpha is 6.276591210687397e-07
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 0.30919208020227607
the lambda is 0.2717629415882323
the regulation term lambda/alpha is 0.8789453514153489
using Bay_non_info_prior option for model regressor
Convergence after  51  iterations
the alpha is 0.16769077374456134
the lambda is 0.562771850315047
the regulation term lambda/alpha is 3.356009622642099
using Bay_non_info_prior option for model regressor
Convergence after  114  iterations
the alpha is 0.10874926010256347
the lambda is 5.972923172614013
the regulation term lambda/alpha is 54.92380515491173
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 500000.2639615635
the lambda is 0.15281221158493694
the regulation term lambda/alpha is 3.0562426182375786e-07
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 500000.44443396165
the lambda is 0.3574494285963923
the regulation term lambda/alpha is 7.148982217426869e-07
using Bay_non_info_prior option for model regressor
Convergence after  82  iterations
the alpha is 0.07801843687626937
the lambda is 283.1351705280159
the regulation term lambda/alpha is 3629.0802772304232
using Bay_non_info_prior option for model regressor
Convergence after  121  iterations
the alpha is 0.2566419944674206
the lambda is 3.4716778228419396
the regulation term lambda/alpha is 13.527317811125613
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 500000.5544297543
the lambda is 0.1301694764653793
the regulation term lambda/alpha is 2.603386642517553e-07
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 500003.7333853496
the lambda is 0.47101488336231545
the regulation term lambda/alpha is 9.420227328568912e-07
using Bay_non_info_prior option for model regressor
Convergence after  61  iterations
the alpha is 0.393776597237454
the lambda is 5.903534752227566
the regulation term lambda/alpha is 14.992091438759713
using Bay_non_info_prior option for model regressor
Convergence after  79  iterations
the alpha is 0.19675078687240144
the lambda is 0.2538773234908119
the regulation term lambda/alpha is 1.290349723762267
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500001.8291378111
the lambda is 0.6750305464520191
the regulation term lambda/alpha is 1.3500561540265214e-06
using Bay_non_info_prior option for model regressor
Convergence after  30  iterations
the alpha is 499996.159018523
the lambda is 0.10605850394331835
the regulation term lambda/alpha is 2.1211863737415087e-07
using Bay_non_info_prior option for model regressor
Convergence after  64  iterations
the alpha is 500000.84010846476
the lambda is 0.19686987253617194
the regulation term lambda/alpha is 3.9373908350526996e-07
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500002.60285854206
the lambda is 0.2939825879578723
the regulation term lambda/alpha is 5.87962115151317e-07
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 500003.8065144548
the lambda is 1.7006473024701223
the regulation term lambda/alpha is 3.4012687109832186e-06
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 499994.3857815256
the lambda is 0.34421101945714244
the regulation term lambda/alpha is 6.884297689045387e-07
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 2.1138887848161345
the lambda is 0.38051208724593255
the regulation term lambda/alpha is 0.1800057268760378
using Bay_non_info_prior option for model regressor
Convergence after  73  iterations
the alpha is 1.0360861168364612
the lambda is 0.3088743435006503
the regulation term lambda/alpha is 0.29811647746400977
using Bay_non_info_prior option for model regressor
Convergence after  21  iterations
the alpha is 0.6695993308578747
the lambda is 0.7016983172913496
the regulation term lambda/alpha is 1.0479376023156273
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 500000.229727318
the lambda is 0.454068386901976
the regulation term lambda/alpha is 9.081363565564928e-07
using Bay_non_info_prior option for model regressor
Convergence after  32  iterations
the alpha is 0.16890867641358961
the lambda is 0.4065935604188487
the regulation term lambda/alpha is 2.407179838549348
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 499957.30830584106
the lambda is 0.951315589520859
the regulation term lambda/alpha is 1.9027936460104842e-06
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500001.6208523997
the lambda is 0.277480142162771
the regulation term lambda/alpha is 5.549584853139567e-07
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 499988.05679415225
the lambda is 0.5697755830024941
the regulation term lambda/alpha is 1.1395783864434861e-06
using Bay_non_info_prior option for model regressor
Convergence after  53  iterations
the alpha is 0.6510930376220023
the lambda is 0.5300998178468008
the regulation term lambda/alpha is 0.814169077560548
using Bay_non_info_prior option for model regressor
Convergence after  24  iterations
the alpha is 0.27514068623427845
the lambda is 0.7911581938348593
the regulation term lambda/alpha is 2.8754678367022724
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 500000.49621171784
the lambda is 0.22649985907645817
the regulation term lambda/alpha is 4.5299926858582586e-07
using Bay_non_info_prior option for model regressor
Convergence after  36  iterations
the alpha is 0.09266279971458735
the lambda is 0.5283085033537489
the regulation term lambda/alpha is 5.701408817572997
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 0.6679766392821459
the lambda is 1642.818466273706
the regulation term lambda/alpha is 2459.3950890845417
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 1.7842861673161479
the lambda is 1.9415612339043995
the regulation term lambda/alpha is 1.0881445305518556
using Bay_non_info_prior option for model regressor
Convergence after  33  iterations
the alpha is 499988.80767749465
the lambda is 0.7373471133980678
the regulation term lambda/alpha is 1.4747272380418468e-06
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 499996.9996424463
the lambda is 0.34260797982390157
the regulation term lambda/alpha is 6.852200714582378e-07
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 499996.14852437266
the lambda is 0.15164630290542078
the regulation term lambda/alpha is 3.032949420769962e-07
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 500001.9974061091
the lambda is 0.18289561400606807
the regulation term lambda/alpha is 3.657897667507066e-07
using Bay_non_info_prior option for model regressor
Convergence after  22  iterations
the alpha is 500000.65924527374
the lambda is 0.10252853437015697
the regulation term lambda/alpha is 2.0505679837486358e-07
using Bay_non_info_prior option for model regressor
Convergence after  67  iterations
the alpha is 0.8658517676798821
the lambda is 0.2531838740335146
the regulation term lambda/alpha is 0.2924101832256354
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 500004.92871174414
the lambda is 0.5360551097844084
the regulation term lambda/alpha is 1.072099651428531e-06
using Bay_non_info_prior option for model regressor
Convergence after  312  iterations
the alpha is 2.7172305263406744
the lambda is 4.481676165582559
the regulation term lambda/alpha is 1.6493544151434527
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 500004.3043745696
the lambda is 0.3010762859574313
the regulation term lambda/alpha is 6.021473881790529e-07
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500001.9327999059
the lambda is 0.4154685077112862
the regulation term lambda/alpha is 8.309338033650184e-07
using Bay_non_info_prior option for model regressor
Convergence after  28  iterations
the alpha is 0.1717000991055918
the lambda is 730.8716306200414
the regulation term lambda/alpha is 4256.67564798883
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 500000.79429922474
the lambda is 0.19282937776780212
the regulation term lambda/alpha is 3.8565814287967644e-07
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.4389344756776596
the lambda is 0.16250248725384925
the regulation term lambda/alpha is 0.370220377433251
using Bay_non_info_prior option for model regressor
Convergence after  36  iterations
the alpha is 499973.0874326116
the lambda is 1.659505641611855
the regulation term lambda/alpha is 3.31918993906953e-06
using Bay_non_info_prior option for model regressor
Convergence after  91  iterations
the alpha is 0.2937182472983946
the lambda is 1.0418807871259494
the regulation term lambda/alpha is 3.5472116448641366
using Bay_non_info_prior option for model regressor
Convergence after  33  iterations
the alpha is 500000.7888190516
the lambda is 0.29717511127729535
the regulation term lambda/alpha is 5.943492848865122e-07
using Bay_non_info_prior option for model regressor
Convergence after  67  iterations
the alpha is 0.2047097748152431
the lambda is 0.35039062501900065
the regulation term lambda/alpha is 1.7116457938329472
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 1.1989506010128028
the lambda is 0.28941262842353543
the regulation term lambda/alpha is 0.2413882842037501
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 500004.24665018206
the lambda is 0.20887353996428104
the regulation term lambda/alpha is 4.177435319072704e-07
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 499999.18282355805
the lambda is 0.18325966037998984
the regulation term lambda/alpha is 3.6651991978286755e-07
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 1.0462584628920082
the lambda is 1.6695169358631317
the regulation term lambda/alpha is 1.5957022046429596
10
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.4161731769712778
the lambda is 1.0980256229985348
the regulation term lambda/alpha is 2.638386334721219
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.37075895308598755
the lambda is 0.36861827094290595
the regulation term lambda/alpha is 0.9942262159139684
using Bay_non_info_prior option for model regressor
Convergence after  30  iterations
the alpha is 0.09494769406194278
the lambda is 1.705532666830094
the regulation term lambda/alpha is 17.96286559331735
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.43766194729965635
the lambda is 0.18884874817132086
the regulation term lambda/alpha is 0.43149455724104974
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.2458770309906844
the lambda is 1.1148337264814558
the regulation term lambda/alpha is 4.534110900841705
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 0.21893422522654865
the lambda is 0.7324715498546011
the regulation term lambda/alpha is 3.3456237785419547
using Bay_non_info_prior option for model regressor
Convergence after  28  iterations
the alpha is 0.7077824059436888
the lambda is 0.2767565502715659
the regulation term lambda/alpha is 0.39101925669170234
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.1824141756396912
the lambda is 0.9324702115486357
the regulation term lambda/alpha is 5.111829759275249
using Bay_non_info_prior option for model regressor
Convergence after  21  iterations
the alpha is 0.3376425983446283
the lambda is 0.37236192288651543
the regulation term lambda/alpha is 1.1028286262222442
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.7008914261242193
the lambda is 1.460178086590441
the regulation term lambda/alpha is 2.083315663689761
using Bay_non_info_prior option for model regressor
Convergence after  33  iterations
the alpha is 0.1277298335274283
the lambda is 0.5732932776211588
the regulation term lambda/alpha is 4.488327133833237
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4662893795900201
the lambda is 0.3456834216826959
the regulation term lambda/alpha is 0.7413495499010385
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.12950355567908392
the lambda is 0.35886031569107485
the regulation term lambda/alpha is 2.771046044329069
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.6112100776948499
the lambda is 0.440940899032724
the regulation term lambda/alpha is 0.7214228219137221
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.6120453293220078
the lambda is 0.5527947010880706
the regulation term lambda/alpha is 0.9031924182812211
using Bay_non_info_prior option for model regressor
Convergence after  35  iterations
the alpha is 0.25120546806838123
the lambda is 2.047478114562529
the regulation term lambda/alpha is 8.150611251842577
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 1.0357359565402215
the lambda is 0.8279783915681518
the regulation term lambda/alpha is 0.7994106860342434
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.420862689062896
the lambda is 0.4716124255527379
the regulation term lambda/alpha is 1.1205850216916178
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.23459998550378958
the lambda is 1.1748283902193148
the regulation term lambda/alpha is 5.007793959136189
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.25096700080422735
the lambda is 0.39983002056160827
the regulation term lambda/alpha is 1.5931577429715749
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.4592845552666852
the lambda is 1.1305944022894603
the regulation term lambda/alpha is 2.461642546706097
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.39563011459197794
the lambda is 0.45662521406545836
the regulation term lambda/alpha is 1.1541720339878223
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.8040198180770426
the lambda is 0.26864695918978027
the regulation term lambda/alpha is 0.33412977286094464
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.30518078637939855
the lambda is 0.3704665275849066
the regulation term lambda/alpha is 1.2139248082424996
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 0.45488482778427697
the lambda is 0.31335374468884564
the regulation term lambda/alpha is 0.6888639179617779
using Bay_non_info_prior option for model regressor
Convergence after  31  iterations
the alpha is 0.34502799110487475
the lambda is 1521.3461275256757
the regulation term lambda/alpha is 4409.341174476615
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.348580260533298
the lambda is 0.399900212607963
the regulation term lambda/alpha is 1.1472256403622794
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.7224601642909598
the lambda is 0.23734104355105537
the regulation term lambda/alpha is 0.328517827393276
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.41346390240173275
the lambda is 0.3393380040956077
the regulation term lambda/alpha is 0.8207197826084892
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.8845526084316387
the lambda is 0.3228895332327114
the regulation term lambda/alpha is 0.3650314635386273
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.5198690829870352
the lambda is 0.43311266840701634
the regulation term lambda/alpha is 0.8331187265810489
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.2631706291449207
the lambda is 0.3479117917020756
the regulation term lambda/alpha is 1.3220008358550162
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.4669161837877362
the lambda is 0.42140378723495353
the regulation term lambda/alpha is 0.9025255535510138
using Bay_non_info_prior option for model regressor
Convergence after  21  iterations
the alpha is 0.2641222581174618
the lambda is 0.2664244273793512
the regulation term lambda/alpha is 1.0087163016032732
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.48042860144507543
the lambda is 0.35970114403522274
the regulation term lambda/alpha is 0.7487088465451099
using Bay_non_info_prior option for model regressor
Convergence after  26  iterations
the alpha is 0.3274198956950139
the lambda is 0.5638228815935181
the regulation term lambda/alpha is 1.72201777902559
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.7055435648080083
the lambda is 0.5881097378333838
the regulation term lambda/alpha is 0.8335555267851101
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 0.47488272242446916
the lambda is 0.3737586148432604
the regulation term lambda/alpha is 0.7870545656727009
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.5367779533107384
the lambda is 0.6764589630421242
the regulation term lambda/alpha is 1.2602212122719672
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.2339283579695989
the lambda is 0.49030060392309005
the regulation term lambda/alpha is 2.095943425494437
using Bay_non_info_prior option for model regressor
Convergence after  103  iterations
the alpha is 0.18067878477436294
the lambda is 43.8097436260686
the regulation term lambda/alpha is 242.4730921274433
using Bay_non_info_prior option for model regressor
Convergence after  802  iterations
the alpha is 0.12711295139372616
the lambda is 12.381863651303302
the regulation term lambda/alpha is 97.40835623390636
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.5031849488109639
the lambda is 0.46766925743543875
the regulation term lambda/alpha is 0.9294182159870851
using Bay_non_info_prior option for model regressor
Convergence after  35  iterations
the alpha is 0.5980130706342968
the lambda is 2119.2224094878356
the regulation term lambda/alpha is 3543.7727259707417
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.2614169553309865
the lambda is 0.4076955393404284
the regulation term lambda/alpha is 1.55956043028745
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.4264244550434787
the lambda is 0.41159305745238467
the regulation term lambda/alpha is 0.9652191673913687
using Bay_non_info_prior option for model regressor
Convergence after  59  iterations
the alpha is 0.3954438425284054
the lambda is 0.44533031241022614
the regulation term lambda/alpha is 1.126153108271593
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.5845447270287172
the lambda is 0.8455899641637604
the regulation term lambda/alpha is 1.4465787219772812
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.41484421571272057
the lambda is 0.46093549907603015
the regulation term lambda/alpha is 1.111105040440597
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 0.6587126798855054
the lambda is 0.7820512122547538
the regulation term lambda/alpha is 1.1872417764763334
using Bay_non_info_prior option for model regressor
Convergence after  27  iterations
the alpha is 0.4195166011954392
the lambda is 0.5315340670689638
the regulation term lambda/alpha is 1.267015573529924
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 6.602500306100114
the lambda is 0.3941277048120508
the regulation term lambda/alpha is 0.0596937048905416
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.6945605007408114
the lambda is 0.47047658027414013
the regulation term lambda/alpha is 0.6773730722843214
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.7904788213517775
the lambda is 0.35145309929843543
the regulation term lambda/alpha is 0.4446078627349238
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.2665227970668636
the lambda is 0.3160791402542708
the regulation term lambda/alpha is 1.1859366017946105
using Bay_non_info_prior option for model regressor
Convergence after  38  iterations
the alpha is 0.18250640398879195
the lambda is 1.8957194067814496
the regulation term lambda/alpha is 10.387139110460305
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.6039767939217678
the lambda is 1.0248584169783805
the regulation term lambda/alpha is 1.6968506526943299
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.42977655726414243
the lambda is 0.35195096132396747
the regulation term lambda/alpha is 0.8189161446226975
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.38052479897053454
the lambda is 0.553344138331686
the regulation term lambda/alpha is 1.4541605168143945
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.3343922562576622
the lambda is 0.2012570054200777
the regulation term lambda/alpha is 0.6018590492269097
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.9898919354879662
the lambda is 0.4965729314444731
the regulation term lambda/alpha is 0.5016435770836823
using Bay_non_info_prior option for model regressor
Convergence after  77  iterations
the alpha is 0.12688389888361978
the lambda is 0.600801535740786
the regulation term lambda/alpha is 4.735049450930351
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 1.0429359030506942
the lambda is 0.5802472948061704
the regulation term lambda/alpha is 0.5563594973659337
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 2.0094492754861473
the lambda is 0.3996275025377675
the regulation term lambda/alpha is 0.19887414298680686
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.28717918707898465
the lambda is 0.598804202925283
the regulation term lambda/alpha is 2.085123956982963
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 0.3714668245766004
the lambda is 0.3129893024272247
the regulation term lambda/alpha is 0.8425767301937969
using Bay_non_info_prior option for model regressor
Convergence after  43  iterations
the alpha is 0.21342963441508064
the lambda is 0.3802685245263194
the regulation term lambda/alpha is 1.7817044271685738
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.34802200973443304
the lambda is 0.5639015533771212
the regulation term lambda/alpha is 1.6203042842244963
using Bay_non_info_prior option for model regressor
Convergence after  55  iterations
the alpha is 0.15219374974594924
the lambda is 0.4318279081172615
the regulation term lambda/alpha is 2.837356388406844
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 3.314358937235113
the lambda is 0.4411761258288559
the regulation term lambda/alpha is 0.13311054541271003
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.42756043871247124
the lambda is 0.4494797158741523
the regulation term lambda/alpha is 1.0512659151246253
using Bay_non_info_prior option for model regressor
Convergence after  36  iterations
the alpha is 0.48467524458164474
the lambda is 0.36140189529985056
the regulation term lambda/alpha is 0.7456578386044875
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 0.2886130587829648
the lambda is 0.35825235949590195
the regulation term lambda/alpha is 1.241289500227727
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.6529891036857445
the lambda is 0.38279675334304897
the regulation term lambda/alpha is 0.5862222680016917
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.7788272969344912
the lambda is 0.3431149714509018
the regulation term lambda/alpha is 0.4405533457820777
using Bay_non_info_prior option for model regressor
Convergence after  30  iterations
the alpha is 0.17083767852637324
the lambda is 0.34031041848336613
the regulation term lambda/alpha is 1.9920103189111784
using Bay_non_info_prior option for model regressor
Convergence after  36  iterations
the alpha is 0.4991651322063959
the lambda is 0.5828268961583795
the regulation term lambda/alpha is 1.1676033812341502
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 1.0448927444276772
the lambda is 0.35480000631548747
the regulation term lambda/alpha is 0.339556388162905
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4508187667836733
the lambda is 0.6224794812512405
the regulation term lambda/alpha is 1.3807754404109338
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.883250457102872
the lambda is 0.7601989791377206
the regulation term lambda/alpha is 0.8606833690539267
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.19239139514721892
the lambda is 0.6899754428570133
the regulation term lambda/alpha is 3.5863113437533958
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.33144138986992067
the lambda is 0.33997572554214844
the regulation term lambda/alpha is 1.025749154852317
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 2.2690991267344884
the lambda is 0.49448450566926727
the regulation term lambda/alpha is 0.2179210682527083
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.2238245544754903
the lambda is 0.3211837836852859
the regulation term lambda/alpha is 1.4349801094788142
using Bay_non_info_prior option for model regressor
Convergence after  38  iterations
the alpha is 0.20778968595764327
the lambda is 0.29428092180125237
the regulation term lambda/alpha is 1.4162441241729382
using Bay_non_info_prior option for model regressor
Convergence after  28  iterations
the alpha is 0.6629215907915093
the lambda is 0.3372490009756354
the regulation term lambda/alpha is 0.5087313577658104
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.4751259213047002
the lambda is 0.6905334103394557
the regulation term lambda/alpha is 1.4533692635485862
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.6382951492185301
the lambda is 0.47234170504425377
the regulation term lambda/alpha is 0.7400051615973355
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.31118869869116994
the lambda is 0.5695339984901714
the regulation term lambda/alpha is 1.830188566890691
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.5237747579196671
the lambda is 0.6750045253848197
the regulation term lambda/alpha is 1.2887305376566984
using Bay_non_info_prior option for model regressor
Convergence after  24  iterations
the alpha is 0.4665240594755387
the lambda is 0.1995428092925342
the regulation term lambda/alpha is 0.427722440546492
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.3663381435213819
the lambda is 0.39768102255752313
the regulation term lambda/alpha is 1.08555723609576
using Bay_non_info_prior option for model regressor
Convergence after  24  iterations
the alpha is 0.35870838351967504
the lambda is 0.5491929113432958
the regulation term lambda/alpha is 1.5310289264905703
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.9902166427466715
the lambda is 0.2392609558848324
the regulation term lambda/alpha is 0.24162485819382745
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.7355887973952181
the lambda is 0.6333459722032098
the regulation term lambda/alpha is 0.8610054618095615
using Bay_non_info_prior option for model regressor
Convergence after  22  iterations
the alpha is 0.17567762973002807
the lambda is 0.3921916565335774
the regulation term lambda/alpha is 2.2324507516197505
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.3659697704260414
the lambda is 0.3872416803467533
the regulation term lambda/alpha is 1.0581247732454742
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 0.27703283725038413
the lambda is 0.19411015812051252
the regulation term lambda/alpha is 0.7006756312612662
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.15539277215149336
the lambda is 0.47379951463512293
the regulation term lambda/alpha is 3.049044740467162
using Bay_non_info_prior option for model regressor
Convergence after  29  iterations
the alpha is 0.7522616247217538
the lambda is 0.2920433723857448
the regulation term lambda/alpha is 0.38822048445414936
20
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.7477681668909545
the lambda is 0.43923260278243476
the regulation term lambda/alpha is 0.5873914165250728
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.3544016037175347
the lambda is 0.32162719936066086
the regulation term lambda/alpha is 0.9075218508802355
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.47588461508986946
the lambda is 0.42882503782222936
the regulation term lambda/alpha is 0.9011113707494977
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.42656596150874365
the lambda is 0.7460712980954852
the regulation term lambda/alpha is 1.7490174214948289
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.245664657921297
the lambda is 1.4104637353406537
the regulation term lambda/alpha is 5.7414190029422985
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.7212430633094695
the lambda is 0.43699825879799314
the regulation term lambda/alpha is 0.6058959607774929
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.19282020185171905
the lambda is 0.45810150084326956
the regulation term lambda/alpha is 2.3757961896313895
using Bay_non_info_prior option for model regressor
Convergence after  23  iterations
the alpha is 0.32516586487452454
the lambda is 0.3309364956114364
the regulation term lambda/alpha is 1.0177467297778586
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.5553384901250402
the lambda is 0.5317822469150227
the regulation term lambda/alpha is 0.9575821888291706
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.25792318074479137
the lambda is 0.30306184860297086
the regulation term lambda/alpha is 1.1750081854908694
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 1.6112149604780228
the lambda is 0.3453941978377286
the regulation term lambda/alpha is 0.21436878772231327
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.24229558573626125
the lambda is 0.7700552966655894
the regulation term lambda/alpha is 3.178164778882082
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.23082608394680196
the lambda is 0.5173138001713377
the regulation term lambda/alpha is 2.2411409981315713
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.30575505581927237
the lambda is 0.4799287808978442
the regulation term lambda/alpha is 1.5696511693383854
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.224985633977838
the lambda is 0.4977245515763485
the regulation term lambda/alpha is 2.212250368062951
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.3522961674377527
the lambda is 0.7982834514921852
the regulation term lambda/alpha is 2.2659441835490135
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.16968491962552884
the lambda is 0.45700676874437407
the regulation term lambda/alpha is 2.6932668486564677
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.561533439949572
the lambda is 0.5679603364158397
the regulation term lambda/alpha is 1.0114452604404909
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.28938559110979256
the lambda is 0.384073109896445
the regulation term lambda/alpha is 1.3272019122428529
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.47232042742665314
the lambda is 0.5046028524853523
the regulation term lambda/alpha is 1.0683485684381337
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.2880945591053241
the lambda is 0.5007996866918163
the regulation term lambda/alpha is 1.7383170589789916
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.21748533182963758
the lambda is 0.751224072559453
the regulation term lambda/alpha is 3.4541367283928284
using Bay_non_info_prior option for model regressor
Convergence after  20  iterations
the alpha is 0.42796191861024546
the lambda is 0.4533783233453152
the regulation term lambda/alpha is 1.0593894073977572
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.31991162563838965
the lambda is 0.4412333672686914
the regulation term lambda/alpha is 1.379235175927733
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.7704749711396095
the lambda is 0.5805391049242193
the regulation term lambda/alpha is 0.7534821073623508
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.2781059853419621
the lambda is 0.41693254579520006
the regulation term lambda/alpha is 1.4991858060247618
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.2946975647827839
the lambda is 0.581663898155904
the regulation term lambda/alpha is 1.9737655402230339
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.24068538558552585
the lambda is 0.4527633895501942
the regulation term lambda/alpha is 1.881142008056438
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.25087762622543314
the lambda is 0.46281004480686266
the regulation term lambda/alpha is 1.8447641257215648
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.37382706574027985
the lambda is 0.3463525256322936
the regulation term lambda/alpha is 0.9265046792329518
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.2707156071696759
the lambda is 0.31632290145267583
the regulation term lambda/alpha is 1.168469393988115
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.23111471404853076
the lambda is 0.6126407269074846
the regulation term lambda/alpha is 2.6508079739952812
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.44342756066664135
the lambda is 0.4739997862158612
the regulation term lambda/alpha is 1.0689452534327322
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.43739506856046323
the lambda is 0.5271778195660334
the regulation term lambda/alpha is 1.2052669484844891
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.16218123970140205
the lambda is 0.5705984699932966
the regulation term lambda/alpha is 3.5182766579158398
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.21924552463157013
the lambda is 0.39631354114497935
the regulation term lambda/alpha is 1.8076243143889124
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.457794630421099
the lambda is 0.4803440289235873
the regulation term lambda/alpha is 1.0492565814538855
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.42678755029545096
the lambda is 0.21231060815852848
the regulation term lambda/alpha is 0.49746204642462705
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.2821413262554302
the lambda is 0.4035167987691841
the regulation term lambda/alpha is 1.430193882351958
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.2861979820158712
the lambda is 0.17694554982482355
the regulation term lambda/alpha is 0.6182627444766923
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.17973862524723824
the lambda is 0.4195678584639991
the regulation term lambda/alpha is 2.334322174139617
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.22179863372330336
the lambda is 0.43229805744287525
the regulation term lambda/alpha is 1.9490564490229125
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2930529821184912
the lambda is 0.25952357523905045
the regulation term lambda/alpha is 0.8855858533257183
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.17949771704684922
the lambda is 0.23581733529577847
the regulation term lambda/alpha is 1.3137623094907092
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.6444051196065118
the lambda is 0.3705272418019238
the regulation term lambda/alpha is 0.5749911515727498
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.42996660200039344
the lambda is 0.5195267262542685
the regulation term lambda/alpha is 1.2082955369956692
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.5899426503187919
the lambda is 0.35357505288946606
the regulation term lambda/alpha is 0.5993380080223085
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.30036158229350923
the lambda is 0.6573786260120817
the regulation term lambda/alpha is 2.1886241941877254
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.4527053463994855
the lambda is 0.2365713536988956
the regulation term lambda/alpha is 0.5225724758508495
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.5865114141109847
the lambda is 0.559496334909873
the regulation term lambda/alpha is 0.9539393802897079
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.39628200544068104
the lambda is 0.5952769168096191
the regulation term lambda/alpha is 1.5021548004624838
using Bay_non_info_prior option for model regressor
Convergence after  18  iterations
the alpha is 0.22703032176815496
the lambda is 1.3050143612800484
the regulation term lambda/alpha is 5.748194122777744
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.49202530155001795
the lambda is 0.5346819134996497
the regulation term lambda/alpha is 1.086695972372257
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.2747594770243129
the lambda is 0.771680236054732
the regulation term lambda/alpha is 2.8085664029213726
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.26961501923646597
the lambda is 0.39865671971757777
the regulation term lambda/alpha is 1.478614658955389
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.4979078736339793
the lambda is 0.5988202850825343
the regulation term lambda/alpha is 1.202672857354205
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3133282027529484
the lambda is 0.2720946610755071
the regulation term lambda/alpha is 0.8684014355708894
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.322321082200496
the lambda is 0.25716992099230634
the regulation term lambda/alpha is 0.7978687563239716
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.39037062530795447
the lambda is 0.2583202646166823
the regulation term lambda/alpha is 0.6617307959913719
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.25377257980932516
the lambda is 0.2429113636076886
the regulation term lambda/alpha is 0.9572009859780862
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4543568421747532
the lambda is 0.519256825502651
the regulation term lambda/alpha is 1.14283923406382
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.35618976509623035
the lambda is 0.584022384041556
the regulation term lambda/alpha is 1.6396383087643551
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.5990060975114653
the lambda is 0.36731264409369085
the regulation term lambda/alpha is 0.6132035143209211
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.32577704953719255
the lambda is 0.4040720844300043
the regulation term lambda/alpha is 1.2403331818617662
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.24382673720978046
the lambda is 0.2120425965151784
the regulation term lambda/alpha is 0.8696445637655561
using Bay_non_info_prior option for model regressor
Convergence after  31  iterations
the alpha is 0.19511901233730206
the lambda is 0.20784583561750153
the regulation term lambda/alpha is 1.0652259517293918
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.19316947407479373
the lambda is 0.5092361326969599
the regulation term lambda/alpha is 2.6362143145856862
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.16331731615294892
the lambda is 0.8052129433274036
the regulation term lambda/alpha is 4.930358655742974
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.19149324208382182
the lambda is 0.32854817532165226
the regulation term lambda/alpha is 1.7157168145800037
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.5981805452548101
the lambda is 0.7588116618454297
the regulation term lambda/alpha is 1.2685328332137493
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4628394837819547
the lambda is 0.3521567611839197
the regulation term lambda/alpha is 0.7608615373657749
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.3673131858427348
the lambda is 0.7048118664846953
the regulation term lambda/alpha is 1.918830833332677
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.2631947968260022
the lambda is 0.34449907350301706
the regulation term lambda/alpha is 1.3089129331487697
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.14293359554154714
the lambda is 0.24544166314983498
the regulation term lambda/alpha is 1.7171726648301615
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.5946894893777044
the lambda is 0.2923691509025897
the regulation term lambda/alpha is 0.4916332911962694
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4431924011774865
the lambda is 0.48169596223341965
the regulation term lambda/alpha is 1.0868777554706168
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.25647059437120945
the lambda is 0.38095360036708514
the regulation term lambda/alpha is 1.4853695071790645
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4114425601731464
the lambda is 1.2990141935240254
the regulation term lambda/alpha is 3.157218818046836
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.619967815019398
the lambda is 1.2023508147602986
the regulation term lambda/alpha is 1.939376183137311
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.29450631643030817
the lambda is 0.337806480137642
the regulation term lambda/alpha is 1.1470262649445766
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.3694857306622974
the lambda is 0.992838216680391
the regulation term lambda/alpha is 2.68708135196654
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 1.702541841966434
the lambda is 0.43214250055512715
the regulation term lambda/alpha is 0.25382195603251845
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.24010568082185738
the lambda is 0.2991356094232465
the regulation term lambda/alpha is 1.245849779144482
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.44505148105994286
the lambda is 0.2676842895862999
the regulation term lambda/alpha is 0.6014681468956761
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 1.5312368882336231
the lambda is 0.5021666585673237
the regulation term lambda/alpha is 0.32794838109379937
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.20643986065966444
the lambda is 0.5597491604628557
the regulation term lambda/alpha is 2.711439344486165
using Bay_non_info_prior option for model regressor
Convergence after  21  iterations
the alpha is 0.38019625318712713
the lambda is 0.19052114093621528
the regulation term lambda/alpha is 0.5011126210190281
using Bay_non_info_prior option for model regressor
Convergence after  24  iterations
the alpha is 0.6745111433739649
the lambda is 0.42618301874882447
the regulation term lambda/alpha is 0.6318398486599035
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4312355258591963
the lambda is 0.3315948581595255
the regulation term lambda/alpha is 0.7689414212775116
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.21446941687737095
the lambda is 0.5826220489061943
the regulation term lambda/alpha is 2.7165740336736457
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.6136695616263605
the lambda is 0.6717639280847831
the regulation term lambda/alpha is 1.0946671793602727
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3999114785361629
the lambda is 0.3390783097709205
the regulation term lambda/alpha is 0.8478834141297562
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.7819807264926023
the lambda is 0.5148895747346373
the regulation term lambda/alpha is 0.6584427944203408
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.2848625258823831
the lambda is 0.5232653194337613
the regulation term lambda/alpha is 1.8369047238239136
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.21428935886568135
the lambda is 0.5534283481454844
the regulation term lambda/alpha is 2.5826216993461566
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.3961981124920041
the lambda is 0.4194188056678788
the regulation term lambda/alpha is 1.0586087930349324
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.4002370531764403
the lambda is 0.6253186293377644
the regulation term lambda/alpha is 1.5623706610244785
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.23283167331798343
the lambda is 0.4853583661319169
the regulation term lambda/alpha is 2.084589090544619
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.678928441962176
the lambda is 0.411158253796763
the regulation term lambda/alpha is 0.6055988059779489
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.3145138899952276
the lambda is 0.40318252101964847
the regulation term lambda/alpha is 1.2819227825701633
30
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.3073595234533389
the lambda is 0.29012480741531455
the regulation term lambda/alpha is 0.9439265266799491
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3153151203486369
the lambda is 0.43125180691357395
the regulation term lambda/alpha is 1.3676851475969451
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.28079006776552073
the lambda is 0.39571522811774756
the regulation term lambda/alpha is 1.4092921137374324
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.2924188554053947
the lambda is 0.3335239008459294
the regulation term lambda/alpha is 1.1405690661894863
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.3008735563626008
the lambda is 0.25975704770390906
the regulation term lambda/alpha is 0.8633428967445056
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.25183449316573847
the lambda is 0.6570672651675848
the regulation term lambda/alpha is 2.609123384599872
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.3464889240863104
the lambda is 0.668053106065713
the regulation term lambda/alpha is 1.9280648229301003
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.20474242470427328
the lambda is 0.3743694167763942
the regulation term lambda/alpha is 1.8284897100204192
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3863155164617247
the lambda is 0.35498537899082444
the regulation term lambda/alpha is 0.918900131794203
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.3719670298620104
the lambda is 0.34065687546439427
the regulation term lambda/alpha is 0.9158254579465515
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3502794649623929
the lambda is 0.3907945789663756
the regulation term lambda/alpha is 1.1156651133069777
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.7873140019684151
the lambda is 0.6837513557747869
the regulation term lambda/alpha is 0.8684608098741995
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23698720222215922
the lambda is 0.3792371515329426
the regulation term lambda/alpha is 1.6002431691540617
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.513725418677371
the lambda is 0.6097588186677018
the regulation term lambda/alpha is 1.1869352702803315
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.41175557545743746
the lambda is 0.623629947566383
the regulation term lambda/alpha is 1.514563456423304
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.3135998469704404
the lambda is 0.40500848461752165
the regulation term lambda/alpha is 1.2914817673865042
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3436513826423277
the lambda is 0.4863490474030291
the regulation term lambda/alpha is 1.4152396060900505
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.2548915865824429
the lambda is 0.424287901388299
the regulation term lambda/alpha is 1.6645818211464039
using Bay_non_info_prior option for model regressor
Convergence after  17  iterations
the alpha is 0.3453511421373441
the lambda is 0.32673963382708776
the regulation term lambda/alpha is 0.9461084500978583
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.6909025547274483
the lambda is 0.33467231292535554
the regulation term lambda/alpha is 0.4843987196680424
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.1621678689268254
the lambda is 0.5277351031398742
the regulation term lambda/alpha is 3.254251946654135
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.31672524699581284
the lambda is 0.4235040049758897
the regulation term lambda/alpha is 1.3371337112935884
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.31741539784788064
the lambda is 0.4761949018173319
the regulation term lambda/alpha is 1.500226217902464
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4082702185125421
the lambda is 0.3843102207678965
the regulation term lambda/alpha is 0.9413133834940509
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.21169674278585837
the lambda is 0.4696380620217695
the regulation term lambda/alpha is 2.2184472743486254
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.17942790117057214
the lambda is 0.2943261430105959
the regulation term lambda/alpha is 1.640358835445533
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3081364110798043
the lambda is 0.419165354276024
the regulation term lambda/alpha is 1.360323996788112
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4632613996671984
the lambda is 0.7804108154450463
the regulation term lambda/alpha is 1.6846014280613155
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3099776593985891
the lambda is 0.4557674016499028
the regulation term lambda/alpha is 1.4703233856729265
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.42053937209918724
the lambda is 0.40448483495032084
the regulation term lambda/alpha is 0.961823937985336
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.9030895160761261
the lambda is 0.774778029072961
the regulation term lambda/alpha is 0.8579194147212876
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.39544234555415436
the lambda is 0.5543463790417832
the regulation term lambda/alpha is 1.4018386884311749
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.26299307399976585
the lambda is 0.4803387842727372
the regulation term lambda/alpha is 1.8264313085034507
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.28153912270452586
the lambda is 0.4470362258636551
the regulation term lambda/alpha is 1.5878298602671208
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.31787625801888136
the lambda is 0.34687094273864
the regulation term lambda/alpha is 1.0912137474514891
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32179404755785207
the lambda is 0.9472135869935757
the regulation term lambda/alpha is 2.943539801876807
using Bay_non_info_prior option for model regressor
Convergence after  16  iterations
the alpha is 0.29053509003370587
the lambda is 0.48164802423267583
the regulation term lambda/alpha is 1.6577963927758206
using Bay_non_info_prior option for model regressor
Convergence after  19  iterations
the alpha is 0.3742908914524955
the lambda is 0.40028641187957636
the regulation term lambda/alpha is 1.069452719851667
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.31639318464961175
the lambda is 0.3718570021408997
the regulation term lambda/alpha is 1.1753002914797646
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.28877780853903007
the lambda is 0.7113664928385864
the regulation term lambda/alpha is 2.4633696627780903
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.41506601108096314
the lambda is 0.5393561275145398
the regulation term lambda/alpha is 1.299446625634043
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.33484163382875765
the lambda is 0.3120872248418452
the regulation term lambda/alpha is 0.9320442660408552
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.43417439794778434
the lambda is 0.3030014933984846
the regulation term lambda/alpha is 0.6978796880485911
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.31533918438860964
the lambda is 0.35730073071133217
the regulation term lambda/alpha is 1.1330679737885383
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.3861865321942437
the lambda is 0.39137807354744636
the regulation term lambda/alpha is 1.013443092703687
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5887271657760434
the lambda is 0.5170240399977061
the regulation term lambda/alpha is 0.8782065276641
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.5226362359955103
the lambda is 0.33389494752718046
the regulation term lambda/alpha is 0.6388668150634101
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.7149375603500783
the lambda is 0.5598374142546266
the regulation term lambda/alpha is 0.7830577735774508
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.269483085491961
the lambda is 0.8814256449270333
the regulation term lambda/alpha is 3.270801368916816
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.6527351095025055
the lambda is 0.38190638277058875
the regulation term lambda/alpha is 0.5850863194131936
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2671826659080779
the lambda is 0.3253306797169515
the regulation term lambda/alpha is 1.2176339307463868
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.2226874022578545
the lambda is 0.4742751167811416
the regulation term lambda/alpha is 2.1297797359545663
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.5472924182295474
the lambda is 0.3953235355829803
the regulation term lambda/alpha is 0.7223259859177735
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.33593614410392447
the lambda is 0.3919233155006288
the regulation term lambda/alpha is 1.1666601596146924
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4700518408733371
the lambda is 0.8909928180727597
the regulation term lambda/alpha is 1.8955203247738195
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.3100628289121137
the lambda is 0.3435341883032335
the regulation term lambda/alpha is 1.1079502483692012
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.2063916824878624
the lambda is 0.9218022760624317
the regulation term lambda/alpha is 4.466276280860502
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.978625913250825
the lambda is 0.7708913671680013
the regulation term lambda/alpha is 0.7877283410647019
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.25109929766347927
the lambda is 0.4230029347850521
the regulation term lambda/alpha is 1.684604213238208
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.6306743106400595
the lambda is 0.61938309144191
the regulation term lambda/alpha is 0.9820965924762493
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.18171146910895639
the lambda is 0.3374623519580101
the regulation term lambda/alpha is 1.8571329240404941
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.5525748967842382
the lambda is 0.39644183491501717
the regulation term lambda/alpha is 0.7174445260219888
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.6364941806708989
the lambda is 0.6333233120036722
the regulation term lambda/alpha is 0.9950182283459615
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.47598146769440697
the lambda is 0.3766829163980825
the regulation term lambda/alpha is 0.7913814758853661
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4538846276539345
the lambda is 0.49465871882698803
the regulation term lambda/alpha is 1.0898336023932096
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4462122260103882
the lambda is 0.7467735513749448
the regulation term lambda/alpha is 1.6735837967773644
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.24215912065548018
the lambda is 0.3195332806329012
the regulation term lambda/alpha is 1.3195178433419457
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.42136632832538723
the lambda is 0.535067720515529
the regulation term lambda/alpha is 1.2698397677906985
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.6067084999465066
the lambda is 0.5111738964126877
the regulation term lambda/alpha is 0.8425362368546969
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3125072437745514
the lambda is 0.4178975717934547
the regulation term lambda/alpha is 1.3372412323822287
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.2801714596038801
the lambda is 0.34810209172382106
the regulation term lambda/alpha is 1.2424609280901935
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.35884467654126395
the lambda is 0.42858758808349406
the regulation term lambda/alpha is 1.1943540370013273
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.4135525800121992
the lambda is 0.35033627927834354
the regulation term lambda/alpha is 0.8471384201448076
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.1899852403226733
the lambda is 0.300167903414202
the regulation term lambda/alpha is 1.5799538053818976
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.16390135163355377
the lambda is 0.4616108736083207
the regulation term lambda/alpha is 2.816394550792832
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.35418207458925904
the lambda is 0.42940512065787445
the regulation term lambda/alpha is 1.212385243256172
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.36120502687064693
the lambda is 0.5153148559423822
the regulation term lambda/alpha is 1.426654718531712
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.30089136844035036
the lambda is 0.2994603612073234
the regulation term lambda/alpha is 0.9952441067337874
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.15339171604043217
the lambda is 0.41382814305825355
the regulation term lambda/alpha is 2.697851968415123
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.28155101842031754
the lambda is 0.3880145953659749
the regulation term lambda/alpha is 1.3781324519548412
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.45299531303082907
the lambda is 0.7255365313471214
the regulation term lambda/alpha is 1.6016424684238273
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4010364760455762
the lambda is 0.8581708622888958
the regulation term lambda/alpha is 2.1398823138256584
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.2708759869810611
the lambda is 0.6843309825386208
the regulation term lambda/alpha is 2.5263626730651003
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.23667723292630224
the lambda is 0.5930438374145225
the regulation term lambda/alpha is 2.505707161107412
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.20781944287985962
the lambda is 0.4171697812261296
the regulation term lambda/alpha is 2.0073664689174215
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3807653630001497
the lambda is 0.3991809613014134
the regulation term lambda/alpha is 1.048364688836617
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2657805473820013
the lambda is 0.49048809663111737
the regulation term lambda/alpha is 1.8454627378208692
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.6831222593918378
the lambda is 0.330748016905801
the regulation term lambda/alpha is 0.4841710431164336
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.7626747518541286
the lambda is 0.575947378751227
the regulation term lambda/alpha is 0.7551677531622083
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3263083318563561
the lambda is 0.5568561533471434
the regulation term lambda/alpha is 1.7065336645840739
using Bay_non_info_prior option for model regressor
Convergence after  13  iterations
the alpha is 0.1983858896780716
the lambda is 0.32750023270824297
the regulation term lambda/alpha is 1.650824225652793
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.23508230871536415
the lambda is 0.23617744611095043
the regulation term lambda/alpha is 1.0046585274815907
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2061480067265723
the lambda is 0.4484981540234816
the regulation term lambda/alpha is 2.175612372611268
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.47014323768581956
the lambda is 0.6520290558820597
the regulation term lambda/alpha is 1.3868731986692706
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4154628662658688
the lambda is 0.30110069767282055
the regulation term lambda/alpha is 0.7247355230061306
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.2021320701338685
the lambda is 0.28158508711850605
the regulation term lambda/alpha is 1.3930747700353399
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4492716451908775
the lambda is 0.3206560903092662
the regulation term lambda/alpha is 0.7137242996339827
using Bay_non_info_prior option for model regressor
Convergence after  15  iterations
the alpha is 0.19428276630613062
the lambda is 0.3591058020694703
the regulation term lambda/alpha is 1.8483667331750293
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.6818519609342318
the lambda is 0.4840058977201777
the regulation term lambda/alpha is 0.7098401492561852
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.3079563276301272
the lambda is 0.744670114403038
the regulation term lambda/alpha is 2.4181029827626355
40
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.41806855249821756
the lambda is 0.5060576071005018
the regulation term lambda/alpha is 1.21046561401592
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.19415655382541122
the lambda is 0.40859503740246744
the regulation term lambda/alpha is 2.1044617312783727
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.35859926280456283
the lambda is 0.5758033283014188
the regulation term lambda/alpha is 1.6057013720500382
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.20985702047938962
the lambda is 0.45703803584210584
the regulation term lambda/alpha is 2.177854402002206
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.19876786776802688
the lambda is 0.6228090162388429
the regulation term lambda/alpha is 3.1333485800919068
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3142609608107154
the lambda is 0.5382310365440046
the regulation term lambda/alpha is 1.712688191226495
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.19486773050723163
the lambda is 0.26338209695078574
the regulation term lambda/alpha is 1.3515942134965826
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.18955690468906355
the lambda is 0.46342572581670544
the regulation term lambda/alpha is 2.444784201223785
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3909042705208075
the lambda is 0.7357910998871837
the regulation term lambda/alpha is 1.882279512850751
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.33068427856550275
the lambda is 0.4540653648808017
the regulation term lambda/alpha is 1.373108412805477
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3616612030142244
the lambda is 0.4936370102700118
the regulation term lambda/alpha is 1.364915578878381
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.28270449505951356
the lambda is 0.2793708993023542
the regulation term lambda/alpha is 0.988208196843642
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.28965575386114817
the lambda is 0.3979368931028244
the regulation term lambda/alpha is 1.3738269922080772
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4313310374357135
the lambda is 0.5517236836207482
the regulation term lambda/alpha is 1.2791189034315165
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3235291785149865
the lambda is 0.5996860113627464
the regulation term lambda/alpha is 1.853576280554762
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3449478727182712
the lambda is 0.5147705789623325
the regulation term lambda/alpha is 1.4923141137407747
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5284599451147849
the lambda is 0.4292826070061489
the regulation term lambda/alpha is 0.8123276153179518
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.26279523183501263
the lambda is 0.6010472679471731
the regulation term lambda/alpha is 2.287131557716089
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4157125522541459
the lambda is 0.4651349369701297
the regulation term lambda/alpha is 1.118885957250984
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.48052854678184526
the lambda is 0.46801337728925674
the regulation term lambda/alpha is 0.9739554089420825
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.18247992938151927
the lambda is 0.3399319338450163
the regulation term lambda/alpha is 1.8628456016897332
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2602170852715055
the lambda is 0.4404082481643064
the regulation term lambda/alpha is 1.6924647653507952
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.28414362478955385
the lambda is 0.3620355883489195
the regulation term lambda/alpha is 1.2741288445836327
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.7173118110690417
the lambda is 0.4565320406722186
the regulation term lambda/alpha is 0.6364485201935105
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.23979565250768553
the lambda is 0.4084435080484909
the regulation term lambda/alpha is 1.7032982198682693
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.2207278626335349
the lambda is 0.32433473419802566
the regulation term lambda/alpha is 1.4693873728868787
using Bay_non_info_prior option for model regressor
Convergence after  14  iterations
the alpha is 0.22007799027244368
the lambda is 0.637426429956465
the regulation term lambda/alpha is 2.8963660980699086
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32089325025613963
the lambda is 0.43531196009287987
the regulation term lambda/alpha is 1.3565631553340878
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.42895472381881883
the lambda is 0.3070467514475962
the regulation term lambda/alpha is 0.7158022383203456
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3457333587872584
the lambda is 0.6486335217312263
the regulation term lambda/alpha is 1.8761091611363796
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.26990366734501947
the lambda is 0.44915300757357335
the regulation term lambda/alpha is 1.664123396290938
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2475468656099328
the lambda is 0.43002424882840773
the regulation term lambda/alpha is 1.7371427740313632
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.274501047414052
the lambda is 0.5868805438144423
the regulation term lambda/alpha is 2.137990180158414
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4204618914464041
the lambda is 0.4964005056768612
the regulation term lambda/alpha is 1.1806076026752996
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24271342742344457
the lambda is 0.3766353877417344
the regulation term lambda/alpha is 1.5517698865693403
using Bay_non_info_prior option for model regressor
Convergence after  12  iterations
the alpha is 0.25027513913118227
the lambda is 0.39010900827362816
the regulation term lambda/alpha is 1.5587205729976705
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.30927972165582757
the lambda is 0.3568040284251307
the regulation term lambda/alpha is 1.1536612439860803
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.16772019357782628
the lambda is 0.3178948322903222
the regulation term lambda/alpha is 1.8953879405273357
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.6871238541845641
the lambda is 0.5146960108746584
the regulation term lambda/alpha is 0.7490585689030803
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.43254010081678823
the lambda is 0.5282350240176911
the regulation term lambda/alpha is 1.221239425015616
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.39739193290828934
the lambda is 0.33338854526454287
the regulation term lambda/alpha is 0.8389414018162334
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.20983832393871144
the lambda is 0.4117245202781007
the regulation term lambda/alpha is 1.9621035497707997
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.23173526321602766
the lambda is 0.4457104191934148
the regulation term lambda/alpha is 1.9233603596096454
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2460734542187565
the lambda is 0.5787352608580664
the regulation term lambda/alpha is 2.3518801030182526
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.25943692024299886
the lambda is 0.4502700189394036
the regulation term lambda/alpha is 1.7355664664754074
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.21361985186193028
the lambda is 0.7479099052549283
the regulation term lambda/alpha is 3.5011254746975844
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.293123895565464
the lambda is 0.6428265606244076
the regulation term lambda/alpha is 2.1930199835272175
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.24828687992985596
the lambda is 0.34788658117353305
the regulation term lambda/alpha is 1.401147661414148
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.31797048446364357
the lambda is 0.4999239330322278
the regulation term lambda/alpha is 1.5722337684125165
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2981674983392933
the lambda is 0.35223229551662244
the regulation term lambda/alpha is 1.1813235764409415
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.27896634535033693
the lambda is 0.4404071487812174
the regulation term lambda/alpha is 1.5787106800576132
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.33468996280838786
the lambda is 0.3518803683598895
the regulation term lambda/alpha is 1.0513621783194713
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.515163048076036
the lambda is 0.842596430360842
the regulation term lambda/alpha is 1.6355917481031716
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5126823756520232
the lambda is 0.7608424134594549
the regulation term lambda/alpha is 1.4840424590211918
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3422059577953429
the lambda is 0.34367715791905795
the regulation term lambda/alpha is 1.0042991657222837
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2699491138384687
the lambda is 0.5611664734548629
the regulation term lambda/alpha is 2.0787861292652807
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.7317524495753777
the lambda is 0.4806444739076437
the regulation term lambda/alpha is 0.6568402663859243
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4458180680218326
the lambda is 0.6949083353128381
the regulation term lambda/alpha is 1.5587262723475064
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27105201366764925
the lambda is 0.44195343545270366
the regulation term lambda/alpha is 1.6305115371494912
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.42749610853131464
the lambda is 0.44714559191148856
the regulation term lambda/alpha is 1.0459641222178155
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.6505216134857715
the lambda is 0.5592448778637326
the regulation term lambda/alpha is 0.8596868517051426
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.42291487076719425
the lambda is 0.5935197160679818
the regulation term lambda/alpha is 1.4034023324630311
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.4153620371502928
the lambda is 0.5682395717080817
the regulation term lambda/alpha is 1.3680585149443312
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.17790125258336723
the lambda is 0.2881514000292553
the regulation term lambda/alpha is 1.6197266508521249
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.20690676748836093
the lambda is 0.5876605534404931
the regulation term lambda/alpha is 2.840219102420372
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4419525226645816
the lambda is 0.4336639804243815
the regulation term lambda/alpha is 0.9812456274935878
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2258326444177338
the lambda is 0.3350281706727822
the regulation term lambda/alpha is 1.4835241004974642
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5649047094950663
the lambda is 0.4376509849843196
the regulation term lambda/alpha is 0.7747341766286724
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.37605856733180437
the lambda is 0.6572407591982156
the regulation term lambda/alpha is 1.7477085121645912
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.39592713572480676
the lambda is 0.4712592777365824
the regulation term lambda/alpha is 1.1902676912353287
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.19907060434719173
the lambda is 0.38924937220298045
the regulation term lambda/alpha is 1.955333252136538
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3987446369184756
the lambda is 0.3564426940739192
the regulation term lambda/alpha is 0.8939121961075926
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.26716922308662266
the lambda is 0.36364617166960983
the regulation term lambda/alpha is 1.3611080178636707
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3902812411423074
the lambda is 0.8789169741575896
the regulation term lambda/alpha is 2.2520092730696017
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.17217265034929105
the lambda is 0.46502114244643133
the regulation term lambda/alpha is 2.700900180737365
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.300571653748465
the lambda is 0.3868199693988693
the regulation term lambda/alpha is 1.2869476032579628
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.438215709587258
the lambda is 0.5883796069598058
the regulation term lambda/alpha is 1.3426711870142278
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.388697021261809
the lambda is 0.31673170341411766
the regulation term lambda/alpha is 0.8148549798141655
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2513096269836503
the lambda is 0.47523620752702717
the regulation term lambda/alpha is 1.8910386093484
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.4043662375436577
the lambda is 0.5129820120800881
the regulation term lambda/alpha is 1.2686074267629814
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.23731482085957895
the lambda is 0.30512286978362746
the regulation term lambda/alpha is 1.2857303588475457
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.212796561892175
the lambda is 0.515485185316265
the regulation term lambda/alpha is 2.422431926214408
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.34347669831286376
the lambda is 0.4243897393301413
the regulation term lambda/alpha is 1.2355706847501369
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.28882354220548084
the lambda is 0.3604149903792015
the regulation term lambda/alpha is 1.2478726201716188
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.202808543798318
the lambda is 0.37004653714908814
the regulation term lambda/alpha is 1.824610197473136
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.32270651703731923
the lambda is 0.4793517695241339
the regulation term lambda/alpha is 1.4854108740193168
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.30796389793773865
the lambda is 0.43019758624904275
the regulation term lambda/alpha is 1.3969091478898485
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5473694019021486
the lambda is 0.4190895372371793
the regulation term lambda/alpha is 0.7656429748919333
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.332173814460938
the lambda is 0.5518799459608922
the regulation term lambda/alpha is 1.6614191785601766
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.5137062521536434
the lambda is 0.4779123833818382
the regulation term lambda/alpha is 0.9303223026355154
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5035801439014118
the lambda is 0.4989665372295009
the regulation term lambda/alpha is 0.9908383864459633
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.38017021420421715
the lambda is 0.5898462038552427
the regulation term lambda/alpha is 1.5515318712959276
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.38950669851587205
the lambda is 0.34994019845108165
the regulation term lambda/alpha is 0.8984189483376033
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3578405918510039
the lambda is 0.48704394155855646
the regulation term lambda/alpha is 1.3610639839354772
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 1.0534816836521208
the lambda is 0.42317842747756895
the regulation term lambda/alpha is 0.401695097356159
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3271928449877717
the lambda is 0.45086012791309826
the regulation term lambda/alpha is 1.377964508759195
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3538807036222082
the lambda is 0.3963984640469702
the regulation term lambda/alpha is 1.1201471569078618
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4836708874583793
the lambda is 0.5696873945449934
the regulation term lambda/alpha is 1.177840985093435
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.17436323363469378
the lambda is 0.4887532180070665
the regulation term lambda/alpha is 2.803074982143582
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5025768630876131
the lambda is 0.5141896584798441
the regulation term lambda/alpha is 1.0231065061787505
50
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3930935699308753
the lambda is 0.2985165042938278
the regulation term lambda/alpha is 0.7594031730061658
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.6492571098150183
the lambda is 0.540138867943206
the regulation term lambda/alpha is 0.831933697417805
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.20297097916250442
the lambda is 0.3459020623039677
the regulation term lambda/alpha is 1.7041946771465715
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3630488767526841
the lambda is 0.4678706062116081
the regulation term lambda/alpha is 1.288726218895123
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.543494228907424
the lambda is 0.4226419196817316
the regulation term lambda/alpha is 0.7776382842764687
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.22004077157146812
the lambda is 0.577895326075202
the regulation term lambda/alpha is 2.626310214911715
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5804657183083276
the lambda is 0.3903364532168989
the regulation term lambda/alpha is 0.6724539295007304
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.18688616270473868
the lambda is 0.46252072670062216
the regulation term lambda/alpha is 2.4748794667658642
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.6411582297979033
the lambda is 0.7815357329572438
the regulation term lambda/alpha is 1.2189436189621838
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3790801687888315
the lambda is 0.515260771355942
the regulation term lambda/alpha is 1.359239585131056
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40566067530470307
the lambda is 0.589193919477317
the regulation term lambda/alpha is 1.452430455662869
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32948641887768937
the lambda is 0.4801062380750991
the regulation term lambda/alpha is 1.4571351368910967
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.48225432268183704
the lambda is 0.7898336491556098
the regulation term lambda/alpha is 1.637794856380573
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3096809128589382
the lambda is 0.2855718076144306
the regulation term lambda/alpha is 0.92214855923171
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.6353558470630987
the lambda is 0.4585258046150599
the regulation term lambda/alpha is 0.7216834577576849
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4167020856434781
the lambda is 0.4754726393973172
the regulation term lambda/alpha is 1.1410373400533493
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.49707176388752844
the lambda is 0.7872729696023755
the regulation term lambda/alpha is 1.5838215460987448
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.23208091615012877
the lambda is 0.3401957946421844
the regulation term lambda/alpha is 1.4658499297810346
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.33577925958915456
the lambda is 0.4556662364246682
the regulation term lambda/alpha is 1.3570410423270405
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3138534123349986
the lambda is 0.4054261094186891
the regulation term lambda/alpha is 1.2917690026130682
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.44134314755717163
the lambda is 0.4254331212380407
the regulation term lambda/alpha is 0.9639508930699554
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25039840997511764
the lambda is 0.392077318794386
the regulation term lambda/alpha is 1.5658139316194026
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.42317325268178063
the lambda is 0.5252134009547635
the regulation term lambda/alpha is 1.2411309023581305
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.376307197577141
the lambda is 0.7662413554617445
the regulation term lambda/alpha is 2.03621232970084
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.46897405222742744
the lambda is 0.5003581012470967
the regulation term lambda/alpha is 1.0669206513038585
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3168064683129209
the lambda is 0.6281678700983736
the regulation term lambda/alpha is 1.9828126409272366
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2831222998265393
the lambda is 0.5775791832337029
the regulation term lambda/alpha is 2.040034231099312
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2597674595881115
the lambda is 0.4571763892164676
the regulation term lambda/alpha is 1.759944798095068
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2574336967278736
the lambda is 0.5851487438915531
the regulation term lambda/alpha is 2.2730075795403684
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.40234663364834333
the lambda is 0.4783625923043616
the regulation term lambda/alpha is 1.1889315140199666
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4022238594117155
the lambda is 0.5571790661207333
the regulation term lambda/alpha is 1.385246183395615
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.35071996999563143
the lambda is 0.46035881824855734
the regulation term lambda/alpha is 1.312610793888616
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.418719664676083
the lambda is 0.4254779598555735
the regulation term lambda/alpha is 1.0161403816195704
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3936882961324255
the lambda is 0.5149854635649361
the regulation term lambda/alpha is 1.308104580766378
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2727821229573262
the lambda is 0.37886414365479937
the regulation term lambda/alpha is 1.3888891967970665
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.3033282684190694
the lambda is 0.7764374891084067
the regulation term lambda/alpha is 2.5597267711155216
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31551316669494556
the lambda is 0.405993245873357
the regulation term lambda/alpha is 1.2867711675116629
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.6005681666000316
the lambda is 0.40770694057768325
the regulation term lambda/alpha is 0.6788687167450372
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.266068685532604
the lambda is 0.5576911297457783
the regulation term lambda/alpha is 2.0960419623580204
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4790312515776554
the lambda is 0.47773506784227293
the regulation term lambda/alpha is 0.9972941562139973
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3126118536624599
the lambda is 0.3499634334860969
the regulation term lambda/alpha is 1.1194822889344658
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5547366096480151
the lambda is 0.6546599181958236
the regulation term lambda/alpha is 1.180127481781328
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3117315372378755
the lambda is 0.3636236057652401
the regulation term lambda/alpha is 1.1664639676407424
using Bay_non_info_prior option for model regressor
Convergence after  11  iterations
the alpha is 0.25330741774682747
the lambda is 0.48494959759600664
the regulation term lambda/alpha is 1.914470574567611
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.321186125641114
the lambda is 0.4697256513858347
the regulation term lambda/alpha is 1.4624718002629273
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.24017092624157188
the lambda is 0.3183878651795526
the regulation term lambda/alpha is 1.3256719710499327
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.4066845524747852
the lambda is 0.4955871474533395
the regulation term lambda/alpha is 1.218603323970773
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4777941877401419
the lambda is 0.44075380241331324
the regulation term lambda/alpha is 0.922476274770061
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.2585783195833163
the lambda is 0.4738660762903166
the regulation term lambda/alpha is 1.8325823953606157
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3353056815697936
the lambda is 0.5244309342172168
the regulation term lambda/alpha is 1.564038317996878
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.33889160701410004
the lambda is 0.4315821364825785
the regulation term lambda/alpha is 1.2735108440281377
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4278454937086857
the lambda is 0.933130799787481
the regulation term lambda/alpha is 2.180999481141754
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.27691246232665523
the lambda is 0.38426013000723114
the regulation term lambda/alpha is 1.3876592146797098
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4035582889830542
the lambda is 0.3578551567837887
the regulation term lambda/alpha is 0.8867496135082865
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.36492284285090304
the lambda is 0.3633314713600024
the regulation term lambda/alpha is 0.9956391562707658
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5815253594982509
the lambda is 0.6797396300357513
the regulation term lambda/alpha is 1.1688907782495355
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5374132877128982
the lambda is 0.5777143324204328
the regulation term lambda/alpha is 1.0749907857303755
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3370839680738357
the lambda is 0.5559777282330656
the regulation term lambda/alpha is 1.6493745799007646
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3205375772565673
the lambda is 0.45262833847798956
the regulation term lambda/alpha is 1.4120913446466001
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3225292853987703
the lambda is 0.4923752201439815
the regulation term lambda/alpha is 1.5266062414618142
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32995265270967344
the lambda is 0.8643876324227047
the regulation term lambda/alpha is 2.619732332272784
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.24020100043609383
the lambda is 0.5921091749572982
the regulation term lambda/alpha is 2.4650570725446688
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.30914961723637285
the lambda is 0.7695467092266913
the regulation term lambda/alpha is 2.489237140598829
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3456322026987667
the lambda is 0.8839644630387069
the regulation term lambda/alpha is 2.5575292352290444
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2719536515130836
the lambda is 0.3759320930542314
the regulation term lambda/alpha is 1.3823388322334973
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.27923097770272903
the lambda is 0.500159400434678
the regulation term lambda/alpha is 1.7912031270654745
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.1957232041359503
the lambda is 0.37318306332251394
the regulation term lambda/alpha is 1.9066878910448408
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3409709717448572
the lambda is 0.539531716511635
the regulation term lambda/alpha is 1.582339146792113
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2697331748652098
the lambda is 0.35214790389478595
the regulation term lambda/alpha is 1.3055416860412523
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.34395382894006904
the lambda is 0.3930494275683353
the regulation term lambda/alpha is 1.1427389216150308
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.39429334273852024
the lambda is 0.4983938071901989
the regulation term lambda/alpha is 1.2640178089963694
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.39983397455840547
the lambda is 0.4241581830068684
the regulation term lambda/alpha is 1.0608357718358667
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2641412417329167
the lambda is 0.36661247915220774
the regulation term lambda/alpha is 1.38794107556632
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.31866450070879593
the lambda is 0.49807612846441596
the regulation term lambda/alpha is 1.5630110268215007
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.599886263310887
the lambda is 0.5096752810690239
the regulation term lambda/alpha is 0.8496198566975489
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.33677271411687826
the lambda is 0.413381568383369
the regulation term lambda/alpha is 1.2274793979891832
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.25748875640347524
the lambda is 0.46493624601977246
the regulation term lambda/alpha is 1.8056564974481246
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3522144097156112
the lambda is 0.46564487761084095
the regulation term lambda/alpha is 1.3220494811294548
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.9005504218954405
the lambda is 0.6692676071361439
the regulation term lambda/alpha is 0.7431761630042854
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.441051774756789
the lambda is 0.48778102148769337
the regulation term lambda/alpha is 1.1059495719219643
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.35504784863917543
the lambda is 0.3486176053959087
the regulation term lambda/alpha is 0.9818890798299088
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.20357269655505858
the lambda is 0.34247745374696376
the regulation term lambda/alpha is 1.6823349080820216
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5901065313187008
the lambda is 0.5703450144416863
the regulation term lambda/alpha is 0.9665119502526877
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3627963513140099
the lambda is 0.5464615872568577
the regulation term lambda/alpha is 1.5062488508432672
using Bay_non_info_prior option for model regressor
Convergence after  9  iterations
the alpha is 0.24826703573918907
the lambda is 0.5310805860194493
the regulation term lambda/alpha is 2.1391506304419856
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33625866290712514
the lambda is 0.7392498012841986
the regulation term lambda/alpha is 2.1984557807165843
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2966148822277153
the lambda is 0.5051173413190267
the regulation term lambda/alpha is 1.7029399790238482
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5329393072552888
the lambda is 0.7456867166209371
the regulation term lambda/alpha is 1.3991963183600153
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3010306106385129
the lambda is 0.42869525295591865
the regulation term lambda/alpha is 1.4240918956601045
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.350753306291528
the lambda is 0.5277407469435867
the regulation term lambda/alpha is 1.5045923658520155
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3075094688476686
the lambda is 0.6225328521133164
the regulation term lambda/alpha is 2.0244347416231965
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.47647099094104706
the lambda is 0.5089259435349465
the regulation term lambda/alpha is 1.0681152750344773
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2463661487023164
the lambda is 0.4507403209753699
the regulation term lambda/alpha is 1.8295546013506845
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2696272980741695
the lambda is 0.5785044415392205
the regulation term lambda/alpha is 2.145570740319048
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32613265192667645
the lambda is 0.46345345734015986
the regulation term lambda/alpha is 1.421058132640938
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2814911959925188
the lambda is 0.3478954225037001
the regulation term lambda/alpha is 1.2359016106242489
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.8130247165965155
the lambda is 0.6163126119613351
the regulation term lambda/alpha is 0.7580490474402098
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.265661700384737
the lambda is 0.396365059345098
the regulation term lambda/alpha is 1.491991727716391
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.22706966112570984
the lambda is 0.2767604767219303
the regulation term lambda/alpha is 1.2188351158401156
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4057953475310245
the lambda is 0.5087945616437288
the regulation term lambda/alpha is 1.2538205889726957
60
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4453141913858257
the lambda is 0.4326489539096426
the regulation term lambda/alpha is 0.9715588729908458
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3372320762851015
the lambda is 0.3046101930352217
the regulation term lambda/alpha is 0.90326577587388
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.47048055984707565
the lambda is 0.5594919520139044
the regulation term lambda/alpha is 1.1891924975513568
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2982021566548747
the lambda is 0.43994045542042254
the regulation term lambda/alpha is 1.4753094355705454
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5119233955285827
the lambda is 0.5308726611614334
the regulation term lambda/alpha is 1.0370158226765251
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.37780834899355614
the lambda is 0.56991344654207
the regulation term lambda/alpha is 1.5084723459930485
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.22775497612510842
the lambda is 0.49787977619861784
the regulation term lambda/alpha is 2.186032483984573
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24229394581123861
the lambda is 0.2940234942178516
the regulation term lambda/alpha is 1.2134991373119715
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2674251049717096
the lambda is 0.5280781410370936
the regulation term lambda/alpha is 1.974676764520511
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3842663604010662
the lambda is 0.5467592101596781
the regulation term lambda/alpha is 1.4228651438263162
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23976480593629845
the lambda is 0.33897836392613045
the regulation term lambda/alpha is 1.413795334150048
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.18159648619491436
the lambda is 0.40910428252031494
the regulation term lambda/alpha is 2.2528204762795236
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2699206598784749
the lambda is 0.4992262867869599
the regulation term lambda/alpha is 1.8495297359295289
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3864340790788503
the lambda is 0.4113221441681032
the regulation term lambda/alpha is 1.064404426101805
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2605665545700452
the lambda is 0.541217613369154
the regulation term lambda/alpha is 2.077080131263218
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.5032280086257596
the lambda is 0.5536268859710668
the regulation term lambda/alpha is 1.1001511769643726
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2439417660769184
the lambda is 0.33397797254950884
the regulation term lambda/alpha is 1.369088934300003
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2576307399731569
the lambda is 0.6420700092229351
the regulation term lambda/alpha is 2.4922103988438407
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24640157858939177
the lambda is 0.6585359960950569
the regulation term lambda/alpha is 2.6726127318869723
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.27987295040581767
the lambda is 0.3552711489420526
the regulation term lambda/alpha is 1.2694015210362668
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.407434448779892
the lambda is 0.42103871115565195
the regulation term lambda/alpha is 1.0333900641354687
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3822517123434836
the lambda is 0.4316208506115583
the regulation term lambda/alpha is 1.1291534783857622
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23326988028655124
the lambda is 0.6310858466230961
the regulation term lambda/alpha is 2.7053893363680874
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4180203468043314
the lambda is 0.6398119948880215
the regulation term lambda/alpha is 1.5305762022811469
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.2991958930769301
the lambda is 0.3433455774515968
the regulation term lambda/alpha is 1.1475611310056142
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.7900428374540799
the lambda is 0.5647191387178871
the regulation term lambda/alpha is 0.7147955932841561
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2974510397033661
the lambda is 0.3839973728011009
the regulation term lambda/alpha is 1.2909599280071213
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3586496211026813
the lambda is 0.3924334628525443
the regulation term lambda/alpha is 1.0941973440428945
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3266852152819344
the lambda is 0.44721230220563113
the regulation term lambda/alpha is 1.3689395212442657
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.40089340189966804
the lambda is 0.41150416698583314
the regulation term lambda/alpha is 1.0264677967656366
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3217143081141987
the lambda is 0.4699118556044203
the regulation term lambda/alpha is 1.460649538277968
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3512307710433104
the lambda is 0.5128714792443034
the regulation term lambda/alpha is 1.460212263637519
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35412457958704996
the lambda is 0.5513474291980887
the regulation term lambda/alpha is 1.5569306989111664
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4114454164765631
the lambda is 0.5073930900737577
the regulation term lambda/alpha is 1.2331966033765744
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.37065830395666827
the lambda is 0.5573140706019903
the regulation term lambda/alpha is 1.5035790771522632
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2786844165501087
the lambda is 0.4132602906820336
the regulation term lambda/alpha is 1.4828970194956257
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.486347527786238
the lambda is 0.4542174384451127
the regulation term lambda/alpha is 0.9339359459944715
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25848218088849484
the lambda is 0.4608678236087186
the regulation term lambda/alpha is 1.782977155425386
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5633585146076876
the lambda is 0.4539410453997971
the regulation term lambda/alpha is 0.8057764880254152
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3127201967143389
the lambda is 0.5449875507726067
the regulation term lambda/alpha is 1.7427321819909107
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24076136998959083
the lambda is 0.4470536434729309
the regulation term lambda/alpha is 1.8568329441399134
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.5087065730233125
the lambda is 0.4541945063432748
the regulation term lambda/alpha is 0.8928418275469392
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4235669027824027
the lambda is 0.5689114494329021
the regulation term lambda/alpha is 1.3431442487496872
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.27522007839529833
the lambda is 0.580885500979185
the regulation term lambda/alpha is 2.1106218135177612
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4614120349724678
the lambda is 0.480085989283907
the regulation term lambda/alpha is 1.0404713204165847
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3160152441883391
the lambda is 0.5624769861613544
the regulation term lambda/alpha is 1.7799045979760673
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2234856908066617
the lambda is 0.4308658263918666
the regulation term lambda/alpha is 1.9279347363881576
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.34842210299119714
the lambda is 0.34536936813460545
the regulation term lambda/alpha is 0.9912384006916208
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4834167906748183
the lambda is 0.4912255186137351
the regulation term lambda/alpha is 1.0161531996603104
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.49211408345329166
the lambda is 0.6468789081219634
the regulation term lambda/alpha is 1.3144897288503652
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.37321975123745477
the lambda is 0.431846216715215
the regulation term lambda/alpha is 1.1570829659560544
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34977952136893103
the lambda is 0.5447360224022397
the regulation term lambda/alpha is 1.5573696832516324
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2514857379884857
the lambda is 0.496621527333922
the regulation term lambda/alpha is 1.9747502633992702
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.45325812478760363
the lambda is 0.5344182104768761
the regulation term lambda/alpha is 1.1790593069397355
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3652802406608089
the lambda is 0.48670901719371046
the regulation term lambda/alpha is 1.3324263483653846
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30916356721016075
the lambda is 0.3786008287221789
the regulation term lambda/alpha is 1.2245971675725187
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.22816884670219795
the lambda is 0.39001012119945294
the regulation term lambda/alpha is 1.7093048715300185
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.38012049718980623
the lambda is 0.5142613624184555
the regulation term lambda/alpha is 1.3528903761316204
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3472269282083188
the lambda is 0.34362618437267384
the regulation term lambda/alpha is 0.9896299983004639
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3937199465951354
the lambda is 0.5537431949189219
the regulation term lambda/alpha is 1.4064392716387808
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36449304271316035
the lambda is 0.5016398994171057
the regulation term lambda/alpha is 1.3762674197649194
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24221199815462852
the lambda is 0.48469569876233265
the regulation term lambda/alpha is 2.0011217547237363
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4859536832996774
the lambda is 0.5598421541224657
the regulation term lambda/alpha is 1.1520483810742574
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4285759775052319
the lambda is 0.4045065278510193
the regulation term lambda/alpha is 0.9438385469145462
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.5587327950171462
the lambda is 0.369330335249144
the regulation term lambda/alpha is 0.6610142424838515
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2869548847365629
the lambda is 0.49920702723401683
the regulation term lambda/alpha is 1.7396707767923543
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4039308836572065
the lambda is 0.5014047891762156
the regulation term lambda/alpha is 1.2413133272615267
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.39279087385344463
the lambda is 0.527709758554776
the regulation term lambda/alpha is 1.3434878294847332
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.29621017459549476
the lambda is 0.39721056128035936
the regulation term lambda/alpha is 1.3409754132274185
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2339568201171243
the lambda is 0.39248032025528673
the regulation term lambda/alpha is 1.6775758879728397
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.23521953733477657
the lambda is 0.42867272921143196
the regulation term lambda/alpha is 1.8224367502318604
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36347694035229006
the lambda is 0.5928543494740683
the regulation term lambda/alpha is 1.6310645426349757
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3808985922853369
the lambda is 0.4102639908708184
the regulation term lambda/alpha is 1.0770950567427757
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.46693564974409735
the lambda is 0.6127221222624832
the regulation term lambda/alpha is 1.3122196229786347
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.27075710207526027
the lambda is 0.4008604849655867
the regulation term lambda/alpha is 1.4805169721980647
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3354433424072279
the lambda is 0.518338279369136
the regulation term lambda/alpha is 1.5452334681899091
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5549527413172961
the lambda is 0.7203796358869231
the regulation term lambda/alpha is 1.2980918594562696
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31894228842153055
the lambda is 0.26049252276723217
the regulation term lambda/alpha is 0.8167387399658707
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.21015119069194022
the lambda is 0.32150508205847816
the regulation term lambda/alpha is 1.5298751389411405
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.28831799901540345
the lambda is 0.26981032391553145
the regulation term lambda/alpha is 0.9358081175539679
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.22977818972095707
the lambda is 0.4444449883686583
the regulation term lambda/alpha is 1.9342348762882713
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.6510763109024671
the lambda is 0.5948473729737065
the regulation term lambda/alpha is 0.9136369470257322
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3625927265252539
the lambda is 0.5908595733550966
the regulation term lambda/alpha is 1.6295406116315034
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23425333815649158
the lambda is 0.4970048370691592
the regulation term lambda/alpha is 2.121655302675508
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.44120745205774403
the lambda is 0.4066654116703314
the regulation term lambda/alpha is 0.9217102063296703
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2732142130327308
the lambda is 0.7124933275285489
the regulation term lambda/alpha is 2.6078194088797013
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24344846030381412
the lambda is 0.48790279677000875
the regulation term lambda/alpha is 2.004131782805795
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.30276902076883105
the lambda is 0.4926129047857781
the regulation term lambda/alpha is 1.6270254583341137
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.256604155161702
the lambda is 0.5042488866294094
the regulation term lambda/alpha is 1.9650846507596547
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4189442141346366
the lambda is 0.4683734061125287
the regulation term lambda/alpha is 1.117985140527581
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4106695945064125
the lambda is 0.3889759578764134
the regulation term lambda/alpha is 0.9471749627432904
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.29241800160674014
the lambda is 0.39111689838741376
the regulation term lambda/alpha is 1.3375267467746714
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36840738899875214
the lambda is 0.5939661571737044
the regulation term lambda/alpha is 1.6122536488423045
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.21973140292007282
the lambda is 0.38811865764904735
the regulation term lambda/alpha is 1.7663322242120545
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3161111396626533
the lambda is 0.3936436587102433
the regulation term lambda/alpha is 1.2452698096319255
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.22474852910653625
the lambda is 0.40059776658528073
the regulation term lambda/alpha is 1.7824266444715537
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5554137283757067
the lambda is 0.48409151719209753
the regulation term lambda/alpha is 0.8715872375135755
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.25782796097739885
the lambda is 0.672288684291753
the regulation term lambda/alpha is 2.6075088277593204
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2709919955205898
the lambda is 0.6579237891313853
the regulation term lambda/alpha is 2.4278347700546625
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2761874974860113
the lambda is 0.5084720608426682
the regulation term lambda/alpha is 1.8410393861815628
70
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3274552340227271
the lambda is 0.48616013217168075
the regulation term lambda/alpha is 1.4846613572160485
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4545255343132582
the lambda is 0.49186393885828905
the regulation term lambda/alpha is 1.0821480900989322
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2509181946243884
the lambda is 0.4750236125846265
the regulation term lambda/alpha is 1.8931413614533308
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4354622675867588
the lambda is 0.5462272931884249
the regulation term lambda/alpha is 1.2543619363751142
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.40904797213432675
the lambda is 0.3937065073862701
the regulation term lambda/alpha is 0.9624947052835684
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4437425899144992
the lambda is 0.5344572347734925
the regulation term lambda/alpha is 1.2044307824418483
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26791775389854894
the lambda is 0.6530681309535036
the regulation term lambda/alpha is 2.437569446035284
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32476939671585464
the lambda is 0.3980830583514653
the regulation term lambda/alpha is 1.225740671310092
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3743235339026229
the lambda is 0.3657036241790936
the regulation term lambda/alpha is 0.9769720337012747
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.31948868531523866
the lambda is 0.42803870146384626
the regulation term lambda/alpha is 1.3397616915337756
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4067471458908285
the lambda is 0.5003100303251492
the regulation term lambda/alpha is 1.2300271443316608
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5839836838547628
the lambda is 0.6989723367749294
the regulation term lambda/alpha is 1.196903879507641
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.28881033080083196
the lambda is 0.4959738680719882
the regulation term lambda/alpha is 1.7172996086972365
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36466693723233223
the lambda is 0.5100554644274367
the regulation term lambda/alpha is 1.3986885356225103
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.18767278731336173
the lambda is 0.6038045578907211
the regulation term lambda/alpha is 3.217326105369417
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.42772624003560444
the lambda is 0.42196055652943754
the regulation term lambda/alpha is 0.9865201547941342
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.42885320560555756
the lambda is 0.5086506006828856
the regulation term lambda/alpha is 1.1860715835495528
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5294743775118796
the lambda is 0.5638665232638221
the regulation term lambda/alpha is 1.0649552598060723
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3225568859169198
the lambda is 0.346189010398423
the regulation term lambda/alpha is 1.0732649821265638
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2730051730285871
the lambda is 0.6311226799786862
the regulation term lambda/alpha is 2.3117608834195957
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.35254948359511745
the lambda is 0.3515434462761472
the regulation term lambda/alpha is 0.9971463940076973
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.27338661194379965
the lambda is 0.37296459972755025
the regulation term lambda/alpha is 1.3642387133581397
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4032400478817075
the lambda is 0.33802835274367504
the regulation term lambda/alpha is 0.8382807077803874
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2155503297789372
the lambda is 0.2687490122495725
the regulation term lambda/alpha is 1.2468039948034153
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30571672404881123
the lambda is 0.4784870359537775
the regulation term lambda/alpha is 1.5651320268543158
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41983495667790366
the lambda is 0.42753320701497366
the regulation term lambda/alpha is 1.0183363729356536
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32246754746062095
the lambda is 0.5319178408355819
the regulation term lambda/alpha is 1.64952363431405
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.34518565067323237
the lambda is 0.47122573687838226
the regulation term lambda/alpha is 1.365137096398207
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3156234358019543
the lambda is 0.49431406000310546
the regulation term lambda/alpha is 1.5661513180956403
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.46682119040522396
the lambda is 0.3676750609727338
the regulation term lambda/alpha is 0.7876143339885098
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2659647579957669
the lambda is 0.371519863422581
the regulation term lambda/alpha is 1.3968762862502786
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.39531219631716036
the lambda is 0.6635555777371627
the regulation term lambda/alpha is 1.678560853722787
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27339734059746024
the lambda is 0.5528900535333422
the regulation term lambda/alpha is 2.0222949218346504
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.308752877910838
the lambda is 0.39721993398450156
the regulation term lambda/alpha is 1.2865303043400658
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3067121311864846
the lambda is 0.380466078228359
the regulation term lambda/alpha is 1.240466351156587
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5913093021926275
the lambda is 0.5848775101810629
the regulation term lambda/alpha is 0.9891227958232437
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3496373583811072
the lambda is 0.4499040199294064
the regulation term lambda/alpha is 1.2867733070989735
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2904180119685086
the lambda is 0.5146961526479472
the regulation term lambda/alpha is 1.7722597478002093
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.48217626218361914
the lambda is 0.7402454503524011
the regulation term lambda/alpha is 1.535217530203728
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2955124077916547
the lambda is 0.49905332399355556
the regulation term lambda/alpha is 1.688772825895701
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31879276011441454
the lambda is 0.43709998748744794
the regulation term lambda/alpha is 1.371110144818135
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.39134627617122214
the lambda is 0.5059013046848987
the regulation term lambda/alpha is 1.2927203744837892
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5845193616189338
the lambda is 0.5665555393624461
the regulation term lambda/alpha is 0.9692673614664643
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30194166918601967
the lambda is 0.4711578542309632
the regulation term lambda/alpha is 1.560426739049035
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3250964326116107
the lambda is 0.4706132374501005
the regulation term lambda/alpha is 1.4476112016041012
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37159067844614274
the lambda is 0.7663075143734649
the regulation term lambda/alpha is 2.0622355694655328
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2894351219343576
the lambda is 0.37536733166635
the regulation term lambda/alpha is 1.2968962756063909
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40887112891901817
the lambda is 0.571269521456594
the regulation term lambda/alpha is 1.3971872334613795
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2870804180687367
the lambda is 0.3910261160900335
the regulation term lambda/alpha is 1.3620786771893607
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30500547933561956
the lambda is 0.4329659959967957
the regulation term lambda/alpha is 1.419535140614218
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.41248313786326923
the lambda is 0.6882955817636578
the regulation term lambda/alpha is 1.668663561204326
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31906202639246134
the lambda is 0.41167398186913245
the regulation term lambda/alpha is 1.290263170844261
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.224140870827428
the lambda is 0.47786549935257794
the regulation term lambda/alpha is 2.131987341659341
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31946400526792473
the lambda is 0.4746430698578676
the regulation term lambda/alpha is 1.4857481970771602
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3261173582268502
the lambda is 0.4665618969303102
the regulation term lambda/alpha is 1.4306564344415102
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3124594634534199
the lambda is 0.5030270197339732
the regulation term lambda/alpha is 1.6098952938545332
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5440939768939919
the lambda is 0.43709570622929395
the regulation term lambda/alpha is 0.8033459747606343
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2917781939468598
the lambda is 0.5357667839171253
the regulation term lambda/alpha is 1.836212558141689
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30132327013393845
the lambda is 0.42556343321258144
the regulation term lambda/alpha is 1.4123151956482423
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3803158013538465
the lambda is 0.655313115335768
the regulation term lambda/alpha is 1.723076225081859
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.48025946562130717
the lambda is 0.5172624993666661
the regulation term lambda/alpha is 1.0770480050767735
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4070839131051109
the lambda is 0.534587940968751
the regulation term lambda/alpha is 1.3132131331132162
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4101823761482023
the lambda is 0.6304742525303562
the regulation term lambda/alpha is 1.537058365234494
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3465570196103582
the lambda is 0.576178297974526
the regulation term lambda/alpha is 1.6625786389274013
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3655645832329603
the lambda is 0.5234517312804557
the regulation term lambda/alpha is 1.4318994653453068
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.43175397594679993
the lambda is 0.37448961063799385
the regulation term lambda/alpha is 0.867368064918846
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24096605894852396
the lambda is 0.3227263654344665
the regulation term lambda/alpha is 1.3393021691217037
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3700076641377433
the lambda is 0.452037878656944
the regulation term lambda/alpha is 1.2216986902429763
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.31326454244877616
the lambda is 0.3394136649858716
the regulation term lambda/alpha is 1.0834729725001395
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23576509122779662
the lambda is 0.29361185392949135
the regulation term lambda/alpha is 1.245357624406758
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5025699751785351
the lambda is 0.44099992365450164
the regulation term lambda/alpha is 0.877489594355172
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27578398997394754
the lambda is 0.574801015229348
the regulation term lambda/alpha is 2.0842435968949746
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3535770416473717
the lambda is 0.5316358239746087
the regulation term lambda/alpha is 1.5035926017640535
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2550671589902572
the lambda is 0.48291864774894794
the regulation term lambda/alpha is 1.893299982877819
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.35008090919363677
the lambda is 0.5751401139355116
the regulation term lambda/alpha is 1.6428776857906011
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2587255678175579
the lambda is 0.5645211880011668
the regulation term lambda/alpha is 2.181930424438155
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28713836047449703
the lambda is 0.6628331303282943
the regulation term lambda/alpha is 2.308410235514894
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.261273782340392
the lambda is 0.4795341195363172
the regulation term lambda/alpha is 1.8353702206200386
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24333620311908477
the lambda is 0.44694580420499186
the regulation term lambda/alpha is 1.8367419170515449
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.356187227335774
the lambda is 0.4535777673816972
the regulation term lambda/alpha is 1.2734251331087572
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2560424793674115
the lambda is 0.43243805160657134
the regulation term lambda/alpha is 1.688930886292656
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2404905602821338
the lambda is 0.5670394429849062
the regulation term lambda/alpha is 2.3578449080066943
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.312241681755524
the lambda is 0.4786702807635528
the regulation term lambda/alpha is 1.5330121144374869
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4249519321231846
the lambda is 0.6135114476644814
the regulation term lambda/alpha is 1.443719633416415
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.22143126373237532
the lambda is 0.34813497322070763
the regulation term lambda/alpha is 1.5722033436139715
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4077223901468622
the lambda is 0.4432988681162548
the regulation term lambda/alpha is 1.0872566207526104
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4305861769352147
the lambda is 0.6427818177188565
the regulation term lambda/alpha is 1.4928064395703262
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3218250174804581
the lambda is 0.5325463711106979
the regulation term lambda/alpha is 1.6547699594020382
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3042638332938284
the lambda is 0.757092804871586
the regulation term lambda/alpha is 2.4882773502050095
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.258506533451778
the lambda is 0.3454895393712307
the regulation term lambda/alpha is 1.336482814410873
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2983436487478274
the lambda is 0.5615238316465837
the regulation term lambda/alpha is 1.8821377093272977
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.275059823675588
the lambda is 0.34872244796195184
the regulation term lambda/alpha is 1.267805829662871
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.38828608200290693
the lambda is 0.3628929466298364
the regulation term lambda/alpha is 0.9346019943798026
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30201620085711356
the lambda is 0.48017372660916224
the regulation term lambda/alpha is 1.589893936969085
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3277226120262318
the lambda is 0.546538292751637
the regulation term lambda/alpha is 1.6676856362535357
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.374311651096373
the lambda is 0.6722359621417532
the regulation term lambda/alpha is 1.795925828578268
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.26604334235307914
the lambda is 0.39694927987835865
the regulation term lambda/alpha is 1.4920474098973988
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.44930065344428094
the lambda is 0.412237820309995
the regulation term lambda/alpha is 0.9175099505193971
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3618427416118748
the lambda is 0.6331784769724643
the regulation term lambda/alpha is 1.7498719862443275
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3393465616586601
the lambda is 0.4249215013790132
the regulation term lambda/alpha is 1.2521756498786356
80
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3138425344494663
the lambda is 0.4025145896615322
the regulation term lambda/alpha is 1.282536767578722
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.363436937807998
the lambda is 0.5799693189110497
the regulation term lambda/alpha is 1.5957907922321444
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2728189934189238
the lambda is 0.5456209388243068
the regulation term lambda/alpha is 1.9999375116324303
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.37007288159136154
the lambda is 0.4433900702761977
the regulation term lambda/alpha is 1.1981155397541228
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2823339283088386
the lambda is 0.4682291431715331
the regulation term lambda/alpha is 1.65842322237428
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2530128849680611
the lambda is 0.3872470441590978
the regulation term lambda/alpha is 1.530542779305416
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33408458594523804
the lambda is 0.46314448927830376
the regulation term lambda/alpha is 1.3863090629216301
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3422106137172244
the lambda is 0.361181909956327
the regulation term lambda/alpha is 1.055437486386027
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.5863519510877349
the lambda is 0.5272028175818986
the regulation term lambda/alpha is 0.899123498444732
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26734075389305473
the lambda is 0.43929262945534886
the regulation term lambda/alpha is 1.6431936510176846
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3037521234026921
the lambda is 0.4845401793199772
the regulation term lambda/alpha is 1.5951828546647218
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3168362167194736
the lambda is 0.30175121512154407
the regulation term lambda/alpha is 0.9523886449784061
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2749480514135009
the lambda is 0.4391312470437659
the regulation term lambda/alpha is 1.5971426048891904
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5150462962445586
the lambda is 0.5941599420989357
the regulation term lambda/alpha is 1.153604921404603
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3285255565071662
the lambda is 0.5775338102703932
the regulation term lambda/alpha is 1.757957025963657
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37968963025205427
the lambda is 0.7005434509422257
the regulation term lambda/alpha is 1.8450423586158382
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24576307640533715
the lambda is 0.5911317435394035
the regulation term lambda/alpha is 2.405291112829535
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30588068326254053
the lambda is 0.4467430255372927
the regulation term lambda/alpha is 1.4605140173361277
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36508305244168066
the lambda is 0.4363473230196269
the regulation term lambda/alpha is 1.1952001608985403
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3542791546974879
the lambda is 0.48507071459242584
the regulation term lambda/alpha is 1.3691765608016604
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4437899498957513
the lambda is 0.48415035966467374
the regulation term lambda/alpha is 1.0909448485221518
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23704346309431237
the lambda is 0.33055080388233155
the regulation term lambda/alpha is 1.3944733998035435
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2377939492611087
the lambda is 0.4189551227196426
the regulation term lambda/alpha is 1.7618409720745694
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22826462803255196
the lambda is 0.5341815555574314
the regulation term lambda/alpha is 2.3401854249676117
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25494655727132004
the lambda is 0.5061213225563643
the regulation term lambda/alpha is 1.9852055582681913
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3395992324427623
the lambda is 0.616322972993871
the regulation term lambda/alpha is 1.8148538456951577
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23350738417247077
the lambda is 0.6041668271486452
the regulation term lambda/alpha is 2.5873564096902473
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3788788436124602
the lambda is 0.34870869784853736
the regulation term lambda/alpha is 0.9203699381146162
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3119618216031081
the lambda is 0.37737866941183146
the regulation term lambda/alpha is 1.2096950436837417
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23955003591678178
the lambda is 0.38813008044854935
the regulation term lambda/alpha is 1.6202463880380438
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23245732201834793
the lambda is 0.37981598370900194
the regulation term lambda/alpha is 1.633917058026776
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2556146997569232
the lambda is 0.5910523169512242
the regulation term lambda/alpha is 2.3122782747364896
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.16768413670999896
the lambda is 0.48361967457857147
the regulation term lambda/alpha is 2.8841110677926958
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.19062274860755968
the lambda is 0.5967151384510436
the regulation term lambda/alpha is 3.1303458942327893
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2893860289687223
the lambda is 0.5762386298143054
the regulation term lambda/alpha is 1.9912455064532055
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.31846120040920795
the lambda is 0.4782104172383216
the regulation term lambda/alpha is 1.5016285080375358
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.35280241858081673
the lambda is 0.2911067688888087
the regulation term lambda/alpha is 0.8251269083126329
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.22649707642484138
the lambda is 0.39316309713146486
the regulation term lambda/alpha is 1.7358418189646185
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4526031716080968
the lambda is 0.4994319647549492
the regulation term lambda/alpha is 1.1034654551369358
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3970901040682199
the lambda is 0.4929150184901968
the regulation term lambda/alpha is 1.2413178103413887
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3484702511558629
the lambda is 0.3216893308387475
the regulation term lambda/alpha is 0.9231471833584529
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5302902735394354
the lambda is 0.5411570871993155
the regulation term lambda/alpha is 1.0204921987109992
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.336089170850112
the lambda is 0.4718854171797645
the regulation term lambda/alpha is 1.4040482648880541
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3925294532648385
the lambda is 0.501786156547556
the regulation term lambda/alpha is 1.2783401407817474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4162648140782512
the lambda is 0.44608898967224175
the regulation term lambda/alpha is 1.071647121220253
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.19360034606044838
the lambda is 0.45406474293083354
the regulation term lambda/alpha is 2.3453715459220286
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2877742630633542
the lambda is 0.5973319932011656
the regulation term lambda/alpha is 2.0756963699344495
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3310617950708128
the lambda is 0.49084798933602175
the regulation term lambda/alpha is 1.48264764054406
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30813596999147935
the lambda is 0.6793820514489416
the regulation term lambda/alpha is 2.2048125425529776
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27377163956938266
the lambda is 0.5706630123718572
the regulation term lambda/alpha is 2.0844489709359855
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.29474817830605404
the lambda is 0.6446897329664696
the regulation term lambda/alpha is 2.1872560389399625
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2787498108849047
the lambda is 0.3926756203804431
the regulation term lambda/alpha is 1.4087027328695774
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.254078031111935
the lambda is 0.5222749140331157
the regulation term lambda/alpha is 2.0555689594549227
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30582379334279314
the lambda is 0.35719731041032576
the regulation term lambda/alpha is 1.1679840423990453
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2503553837683648
the lambda is 0.7357771981289155
the regulation term lambda/alpha is 2.9389309990220758
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31866817950315446
the lambda is 0.6754483119669964
the regulation term lambda/alpha is 2.1195976109698464
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5237305796430983
the lambda is 0.5605978810991473
the regulation term lambda/alpha is 1.070393639189777
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.49295511669602354
the lambda is 0.4586911981490115
the regulation term lambda/alpha is 0.9304928230045321
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3252961227991036
the lambda is 0.5100641297858314
the regulation term lambda/alpha is 1.5679994135707447
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.1940172416607352
the lambda is 0.5379995057618929
the regulation term lambda/alpha is 2.77294688429112
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3218233660689531
the lambda is 0.49684223108788744
the regulation term lambda/alpha is 1.543835170071011
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24581106557048477
the lambda is 0.4019692488092832
the regulation term lambda/alpha is 1.6352772723082356
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33741442758175244
the lambda is 0.36616176302340203
the regulation term lambda/alpha is 1.0851988921981837
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32684091894526995
the lambda is 0.6744011558922153
the regulation term lambda/alpha is 2.0633926684227224
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28202197850783545
the lambda is 0.6611929732498532
the regulation term lambda/alpha is 2.344473210024953
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28724216245967493
the lambda is 0.4951660015516014
the regulation term lambda/alpha is 1.7238625322670598
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25261562462563875
the lambda is 0.36726570581641066
the regulation term lambda/alpha is 1.453851899939588
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3937746643917249
the lambda is 0.3924072296907782
the regulation term lambda/alpha is 0.996527367490595
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.26355430268029423
the lambda is 0.38399917787193655
the regulation term lambda/alpha is 1.4570021204994272
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.21733853081537147
the lambda is 0.5105712351820068
the regulation term lambda/alpha is 2.3491979690234297
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5504490705702757
the lambda is 0.44590710412873064
the regulation term lambda/alpha is 0.8100787665364979
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28962190586882297
the lambda is 0.4670232312454617
the regulation term lambda/alpha is 1.6125273046749034
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2646275493351617
the lambda is 0.36278825257469166
the regulation term lambda/alpha is 1.3709390934018189
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.34892411896200803
the lambda is 0.5590919618836301
the regulation term lambda/alpha is 1.6023310843252592
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.385992771922649
the lambda is 0.5278058201623148
the regulation term lambda/alpha is 1.3673981964306947
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4031550098516312
the lambda is 0.5259325148073888
the regulation term lambda/alpha is 1.3045416823691265
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.437910458135276
the lambda is 0.5251449134298215
the regulation term lambda/alpha is 1.1992061474530888
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26292221568117186
the lambda is 0.41222499334458823
the regulation term lambda/alpha is 1.5678591186241404
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31033683365141
the lambda is 0.38248669744186586
the regulation term lambda/alpha is 1.2324888829390428
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2894743561554499
the lambda is 0.43092993280471203
the regulation term lambda/alpha is 1.488663585016489
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.331356813030771
the lambda is 0.4693174759596497
the regulation term lambda/alpha is 1.4163507660126702
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2961958039832869
the lambda is 0.4195840639689393
the regulation term lambda/alpha is 1.416576664241384
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29399283154798767
the lambda is 0.6620127457726527
the regulation term lambda/alpha is 2.251798937705031
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2552409930720255
the lambda is 0.5099355550226883
the regulation term lambda/alpha is 1.9978591561066033
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3561840158230854
the lambda is 0.5130636613168793
the regulation term lambda/alpha is 1.440445495936334
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36249685986703534
the lambda is 0.41133848620227037
the regulation term lambda/alpha is 1.134736688072692
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4211916266682696
the lambda is 0.4404942401388721
the regulation term lambda/alpha is 1.0458285783677397
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.44321959417340967
the lambda is 0.48744667378492557
the regulation term lambda/alpha is 1.0997859304798967
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.33594652606493836
the lambda is 0.5389912663055202
the regulation term lambda/alpha is 1.6043960109333988
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3471905848973535
the lambda is 0.44592468003285984
the regulation term lambda/alpha is 1.284380105424509
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24718514094348865
the lambda is 0.3828836614768377
the regulation term lambda/alpha is 1.5489752337676819
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.41090754136919244
the lambda is 0.439772879153706
the regulation term lambda/alpha is 1.070247768362515
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34842303345458514
the lambda is 0.43486362476120854
the regulation term lambda/alpha is 1.2480909211126836
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2768860203534004
the lambda is 0.504573645787669
the regulation term lambda/alpha is 1.8223153525182023
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33612524043293585
the lambda is 0.5081278917000873
the regulation term lambda/alpha is 1.5117219136700615
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2957316851906903
the lambda is 0.6761530359731387
the regulation term lambda/alpha is 2.286373323633379
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32072700901957096
the lambda is 0.5913063030858609
the regulation term lambda/alpha is 1.8436436173349497
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2436261040849496
the lambda is 0.39020288371133693
the regulation term lambda/alpha is 1.6016464457982618
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31351604566113017
the lambda is 0.6200427242201167
the regulation term lambda/alpha is 1.9777065091280903
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.31764060472609923
the lambda is 0.40917887815310605
the regulation term lambda/alpha is 1.2881819013848688
90
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23276869941573786
the lambda is 0.4546154501491198
the regulation term lambda/alpha is 1.9530781041017518
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.31220306900657097
the lambda is 0.4896928585262275
the regulation term lambda/alpha is 1.568507510462432
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.33147001534931075
the lambda is 0.3935205007038183
the regulation term lambda/alpha is 1.187197883612843
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.39863680481812136
the lambda is 0.5641316462632026
the regulation term lambda/alpha is 1.4151519364113618
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41906717215082645
the lambda is 0.6346958018313004
the regulation term lambda/alpha is 1.5145443117717343
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35534959382569653
the lambda is 0.4545099508735056
the regulation term lambda/alpha is 1.279050148841449
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2669195200948329
the lambda is 0.4602999545037626
the regulation term lambda/alpha is 1.7244896676729535
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24466139321725633
the lambda is 0.34618761931851666
the regulation term lambda/alpha is 1.4149662714096714
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.22576601682034586
the lambda is 0.4059860508040876
the regulation term lambda/alpha is 1.7982602365135958
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4817683099674461
the lambda is 0.48586920691281527
the regulation term lambda/alpha is 1.008512176622091
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35535208687499936
the lambda is 0.47808338885556806
the regulation term lambda/alpha is 1.3453794321566523
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32292946394720407
the lambda is 0.3730446570234325
the regulation term lambda/alpha is 1.1551892864270255
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4178399500968965
the lambda is 0.4438582192494557
the regulation term lambda/alpha is 1.0622685053129208
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3131205431382332
the lambda is 0.616708971780207
the regulation term lambda/alpha is 1.9695576840767959
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2179489794235055
the lambda is 0.4097604090317115
the regulation term lambda/alpha is 1.88007491531075
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37152050993991215
the lambda is 0.5684038000813074
the regulation term lambda/alpha is 1.5299392223951194
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27709711100937384
the lambda is 0.5039577636112371
the regulation term lambda/alpha is 1.8187045031811568
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31982866865263987
the lambda is 0.5147897185248335
the regulation term lambda/alpha is 1.6095796561750293
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3875862406322447
the lambda is 0.6102234114537607
the regulation term lambda/alpha is 1.57441969678372
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.29336237958656836
the lambda is 0.4941654639159323
the regulation term lambda/alpha is 1.6844881903819877
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3993124046964779
the lambda is 0.6286919200966348
the regulation term lambda/alpha is 1.574436237648342
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2859068754416334
the lambda is 0.6760198637251703
the regulation term lambda/alpha is 2.364475714971663
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4147050101480908
the lambda is 0.4430909505204435
the regulation term lambda/alpha is 1.0684485108154735
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3488023793201726
the lambda is 0.5189671549846684
the regulation term lambda/alpha is 1.4878544005237366
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29592735983484847
the lambda is 0.6355686654775433
the regulation term lambda/alpha is 2.147718500351716
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3770192677392138
the lambda is 0.5229924261041193
the regulation term lambda/alpha is 1.387176918676411
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29258012694126995
the lambda is 0.44700724905135625
the regulation term lambda/alpha is 1.5278113852930437
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31288661895646597
the lambda is 0.39184928091541277
the regulation term lambda/alpha is 1.2523682930970386
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28953022230406444
the lambda is 0.40975722556827215
the regulation term lambda/alpha is 1.4152485440291804
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41631243303300297
the lambda is 0.6538888709087265
the regulation term lambda/alpha is 1.5706686109393466
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3394868889084915
the lambda is 0.4556943953099654
the regulation term lambda/alpha is 1.3423033707578544
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.381660663181191
the lambda is 0.7636697359625263
the regulation term lambda/alpha is 2.0009128779404204
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3610043177793022
the lambda is 0.458591138733868
the regulation term lambda/alpha is 1.2703203705564123
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3789946736660704
the lambda is 0.479927929513521
the regulation term lambda/alpha is 1.266318401974119
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36456654696478014
the lambda is 0.5370413961104169
the regulation term lambda/alpha is 1.4730956545014513
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.2305564104173978
the lambda is 0.3632632285702638
the regulation term lambda/alpha is 1.575593703565277
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3025789188336201
the lambda is 0.40227294601483377
the regulation term lambda/alpha is 1.3294810741128753
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2451423997400086
the lambda is 0.4075731206239934
the regulation term lambda/alpha is 1.6625974170778064
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5319597854756275
the lambda is 0.5783325491258572
the regulation term lambda/alpha is 1.087173438512401
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.20981128979195182
the lambda is 0.4616619981601219
the regulation term lambda/alpha is 2.200367761991761
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3154125419380417
the lambda is 0.4552294787173431
the regulation term lambda/alpha is 1.4432827430393256
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.48698685940848885
the lambda is 0.5057165718057294
the regulation term lambda/alpha is 1.0384604061390696
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28314250197158986
the lambda is 0.4352807695061533
the regulation term lambda/alpha is 1.5373204887121779
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26853377286658103
the lambda is 0.4562887895443779
the regulation term lambda/alpha is 1.699185859095204
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37816677699624707
the lambda is 0.5167367971202358
the regulation term lambda/alpha is 1.3664256845211018
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38214050261285193
the lambda is 0.4306144692124347
the regulation term lambda/alpha is 1.1268485446272936
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4244076163853396
the lambda is 0.6150180988120747
the regulation term lambda/alpha is 1.4491212576488517
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4484863899699713
the lambda is 0.4149524206723458
the regulation term lambda/alpha is 0.9252285686977685
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24555029160165903
the lambda is 0.428229534994806
the regulation term lambda/alpha is 1.7439585683306624
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2682302175425934
the lambda is 0.45871788023195653
the regulation term lambda/alpha is 1.7101648145183896
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3016220461073599
the lambda is 0.5351690095539845
the regulation term lambda/alpha is 1.7743033589908594
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30981587546815664
the lambda is 0.5049070034789609
the regulation term lambda/alpha is 1.629700229905927
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23722505392385285
the lambda is 0.4694604586735103
the regulation term lambda/alpha is 1.9789666011592644
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.31380573101239645
the lambda is 0.37355768557939856
the regulation term lambda/alpha is 1.1904106543058695
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4275405261469652
the lambda is 0.4491946107268969
the regulation term lambda/alpha is 1.0506480280947408
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40807722331846435
the lambda is 0.47916928738687786
the regulation term lambda/alpha is 1.1742122814164835
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24595944142601042
the lambda is 0.3504531947102504
the regulation term lambda/alpha is 1.4248413993722366
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30711387583255484
the lambda is 0.42528532801821506
the regulation term lambda/alpha is 1.3847805699606026
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3519723273188509
the lambda is 0.4742319888242492
the regulation term lambda/alpha is 1.3473558914040522
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.46757812724120773
the lambda is 0.6228060776407919
the regulation term lambda/alpha is 1.3319829165565464
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31141701552360174
the lambda is 0.38396530236497134
the regulation term lambda/alpha is 1.2329618589382163
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.297671996910081
the lambda is 0.3768007453715182
the regulation term lambda/alpha is 1.2658253019525378
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2612408003234875
the lambda is 0.5287456419464186
the regulation term lambda/alpha is 2.0239780359411204
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2590146930948346
the lambda is 0.4160989708868327
the regulation term lambda/alpha is 1.6064685980361888
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.21242839779150757
the lambda is 0.4373815354441036
the regulation term lambda/alpha is 2.0589598188909806
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2771946944243658
the lambda is 0.4843723089835015
the regulation term lambda/alpha is 1.7474082972236156
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.48737938701365097
the lambda is 0.49252026920945374
the regulation term lambda/alpha is 1.010548009072158
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.39113402327246305
the lambda is 0.4105406025155333
the regulation term lambda/alpha is 1.0496161880286023
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.32097386739722517
the lambda is 0.5448281837801786
the regulation term lambda/alpha is 1.697422248727557
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27847418328789814
the lambda is 0.48562652837303155
the regulation term lambda/alpha is 1.7438834819060076
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32557840074003874
the lambda is 0.5295489545605292
the regulation term lambda/alpha is 1.626486748988465
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.4610092879288311
the lambda is 0.5677583640361639
the regulation term lambda/alpha is 1.2315551527972952
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3066498043194681
the lambda is 0.3785078554188359
the regulation term lambda/alpha is 1.2343326168390638
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24008413041951357
the lambda is 0.4745860110315359
the regulation term lambda/alpha is 1.9767487763654472
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.19565452640622408
the lambda is 0.4978740774421767
the regulation term lambda/alpha is 2.5446591325389267
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2484030051731845
the lambda is 0.43802762170027076
the regulation term lambda/alpha is 1.7633748891036223
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2563807716259098
the lambda is 0.5853072629288404
the regulation term lambda/alpha is 2.2829608445943586
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33728772616339336
the lambda is 0.4615737500019667
the regulation term lambda/alpha is 1.3684866486317533
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.18963013805800763
the lambda is 0.3416738738272127
the regulation term lambda/alpha is 1.8017909881112626
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25491094556146543
the lambda is 0.4117823575854457
the regulation term lambda/alpha is 1.6153969249082505
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3438768161499059
the lambda is 0.5750079453162426
the regulation term lambda/alpha is 1.6721335033693574
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23587609905786502
the lambda is 0.37048544340633605
the regulation term lambda/alpha is 1.57067818607365
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4607000479407079
the lambda is 0.7106553688516647
the regulation term lambda/alpha is 1.5425554480149002
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.21619844649953637
the lambda is 0.43803310429817355
the regulation term lambda/alpha is 2.02606961978847
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2809527777610786
the lambda is 0.5314455413899053
the regulation term lambda/alpha is 1.8915831536709171
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35954273269511006
the lambda is 0.6866144239622062
the regulation term lambda/alpha is 1.9096879495112777
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3576844857323248
the lambda is 0.4487601755717048
the regulation term lambda/alpha is 1.2546257762701427
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.284990406547171
the lambda is 0.5204874395168493
the regulation term lambda/alpha is 1.8263331942392922
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.37966712773475336
the lambda is 0.6339038478277291
the regulation term lambda/alpha is 1.6696305830053135
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24672772030708795
the lambda is 0.44359576901278697
the regulation term lambda/alpha is 1.7979162149298367
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26360123306950195
the lambda is 0.5118836085254893
the regulation term lambda/alpha is 1.9418862444794573
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2785641432007231
the lambda is 0.4426631454187499
the regulation term lambda/alpha is 1.5890887475053928
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3332479137753805
the lambda is 0.7321439731859208
the regulation term lambda/alpha is 2.196994918562067
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30761793396231785
the lambda is 0.47755081032047497
the regulation term lambda/alpha is 1.552415375037833
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.33380882419816993
the lambda is 0.4273201091600652
the regulation term lambda/alpha is 1.280134251053774
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28588675408114617
the lambda is 0.5225185196630535
the regulation term lambda/alpha is 1.8277115403350996
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34208033002068
the lambda is 0.4901906815941592
the regulation term lambda/alpha is 1.4329695062107937
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3111388946049582
the lambda is 0.5198454009147574
the regulation term lambda/alpha is 1.6707824380966136
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4045008088376553
the lambda is 0.3982893002990656
the regulation term lambda/alpha is 0.9846440145411856
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36302506896328873
the lambda is 0.489138739399724
the regulation term lambda/alpha is 1.3473965883308976
100
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3531122405605171
the lambda is 0.44668741952806207
the regulation term lambda/alpha is 1.2650012325231412
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31899974374784756
the lambda is 0.4759262676367652
the regulation term lambda/alpha is 1.4919330719367592
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4259059862291824
the lambda is 0.5119374766857451
the regulation term lambda/alpha is 1.2019964340446454
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24723166612541123
the lambda is 0.40417646119658085
the regulation term lambda/alpha is 1.6348086292132071
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26145332100400653
the lambda is 0.3161872613846437
the regulation term lambda/alpha is 1.2093449804747305
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40954098061522926
the lambda is 0.5189544700957375
the regulation term lambda/alpha is 1.2671612723985346
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.320530471650239
the lambda is 0.5941536535681567
the regulation term lambda/alpha is 1.8536573153534488
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3021103840670433
the lambda is 0.4598104215285621
the regulation term lambda/alpha is 1.5219947601222557
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31222990172045234
the lambda is 0.5180461345456772
the regulation term lambda/alpha is 1.65918168532589
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25056942028466256
the lambda is 0.48982555925144583
the regulation term lambda/alpha is 1.9548497126863018
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28707400307190817
the lambda is 0.5175006321258587
the regulation term lambda/alpha is 1.8026732709622326
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23085482015903905
the lambda is 0.3751420546619555
the regulation term lambda/alpha is 1.625012873473965
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2723006896538995
the lambda is 0.4374969070747406
the regulation term lambda/alpha is 1.6066683768991161
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3712547037716479
the lambda is 0.5674349822676615
the regulation term lambda/alpha is 1.5284250313948362
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30347734601111565
the lambda is 0.38283078945407534
the regulation term lambda/alpha is 1.261480616217242
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27973660373060066
the lambda is 0.4525614503012767
the regulation term lambda/alpha is 1.617812771964281
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36404622903867695
the lambda is 0.4915884033874851
the regulation term lambda/alpha is 1.3503460939167093
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3627554663582921
the lambda is 0.4976336588816906
the regulation term lambda/alpha is 1.3718157409933551
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38763649040978004
the lambda is 0.5390375319880004
the regulation term lambda/alpha is 1.3905747919092204
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3039003589747326
the lambda is 0.48298985810649003
the regulation term lambda/alpha is 1.5893033484262766
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3265618681824967
the lambda is 0.5995679756066037
the regulation term lambda/alpha is 1.836001180859057
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2635211240466224
the lambda is 0.40312489493383635
the regulation term lambda/alpha is 1.5297631125105366
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2906151726128953
the lambda is 0.4906794724070859
the regulation term lambda/alpha is 1.688416568190264
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3810180299007237
the lambda is 0.5998943553961814
the regulation term lambda/alpha is 1.5744513600904586
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2496399986548043
the lambda is 0.4641362170131496
the regulation term lambda/alpha is 1.8592221579641375
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.35589361619641807
the lambda is 0.5453460561107989
the regulation term lambda/alpha is 1.5323288513548998
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3993792535215829
the lambda is 0.37762127549441066
the regulation term lambda/alpha is 0.9455205100532434
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37544150926123915
the lambda is 0.48353456105427844
the regulation term lambda/alpha is 1.2879091659463422
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3292735773396721
the lambda is 0.4678337621396109
the regulation term lambda/alpha is 1.4208056592922513
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35210449074969663
the lambda is 0.5458593624710646
the regulation term lambda/alpha is 1.5502766275682183
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24624695638225344
the lambda is 0.4487416301513796
the regulation term lambda/alpha is 1.8223235598282488
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.364748052240078
the lambda is 0.555927246821493
the regulation term lambda/alpha is 1.5241404125595726
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28452297646009206
the lambda is 0.46487342803387105
the regulation term lambda/alpha is 1.633869551828885
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2729168047414445
the lambda is 0.6058065188765469
the regulation term lambda/alpha is 2.21974795377835
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.49191493413887305
the lambda is 0.4577961220382049
the regulation term lambda/alpha is 0.9306408288652688
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29752690890315464
the lambda is 0.5153370263606745
the regulation term lambda/alpha is 1.7320686329195767
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.46569873374421855
the lambda is 0.5194464045456563
the regulation term lambda/alpha is 1.1154129631603384
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2738678585792784
the lambda is 0.45468747033442786
the regulation term lambda/alpha is 1.6602440048758271
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27313220045947784
the lambda is 0.40315327364536324
the regulation term lambda/alpha is 1.476037145994346
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4003590734971092
the lambda is 0.5141432992019811
the regulation term lambda/alpha is 1.2842054376611836
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.23931492609053162
the lambda is 0.4099602681776119
the regulation term lambda/alpha is 1.713057663701787
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23336323014177696
the lambda is 0.5174862374399356
the regulation term lambda/alpha is 2.217514032204402
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23199582960061224
the lambda is 0.355842810820885
the regulation term lambda/alpha is 1.5338327910181793
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5082282104261379
the lambda is 0.4301434064986015
the regulation term lambda/alpha is 0.8463587767745832
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3388181353479878
the lambda is 0.5026831047306186
the regulation term lambda/alpha is 1.4836369494045265
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5085521478167481
the lambda is 0.6956698688711146
the regulation term lambda/alpha is 1.3679420524673365
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39784144145593614
the lambda is 0.495221206476976
the regulation term lambda/alpha is 1.2447702900549273
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28128056693879144
the lambda is 0.5012849818678149
the regulation term lambda/alpha is 1.782152913453484
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2807725826253309
the lambda is 0.4946614528282592
the regulation term lambda/alpha is 1.7617868817638305
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.42832958677243455
the lambda is 0.646661839514862
the regulation term lambda/alpha is 1.5097295621990836
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.40946518011909927
the lambda is 0.6514597222614208
the regulation term lambda/alpha is 1.591001515860112
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2124938134231832
the lambda is 0.4012504501866433
the regulation term lambda/alpha is 1.8882923870708166
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42812152346489035
the lambda is 0.5305800209230417
the regulation term lambda/alpha is 1.239321061526947
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3549739104911756
the lambda is 0.3998145686403308
the regulation term lambda/alpha is 1.1263209966251024
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.34140151263055135
the lambda is 0.40820064345604773
the regulation term lambda/alpha is 1.1956614963735772
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.691743171794632
the lambda is 0.4361994659020652
the regulation term lambda/alpha is 0.6305800818682548
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26036491194541644
the lambda is 0.43223820753259656
the regulation term lambda/alpha is 1.6601246469924185
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27614712599916735
the lambda is 0.37942360837095324
the regulation term lambda/alpha is 1.373990792039231
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4164132586942241
the lambda is 0.6083044122954889
the regulation term lambda/alpha is 1.460819029161058
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28439681540466294
the lambda is 0.36580605606126493
the regulation term lambda/alpha is 1.286252293439947
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25187866165356754
the lambda is 0.41369701610411047
the regulation term lambda/alpha is 1.6424456656558981
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26014276811119563
the lambda is 0.30846589573012234
the regulation term lambda/alpha is 1.185756182921339
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37439160823919365
the lambda is 0.49679894064890984
the regulation term lambda/alpha is 1.3269499895721804
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.38301814547061325
the lambda is 0.39927158149324077
the regulation term lambda/alpha is 1.0424351593125099
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3222947237772552
the lambda is 0.4808352380589652
the regulation term lambda/alpha is 1.4919116032171869
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3000200407954734
the lambda is 0.4193230766763902
the regulation term lambda/alpha is 1.3976502221804803
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34651263061552734
the lambda is 0.49350410863918437
the regulation term lambda/alpha is 1.4242023667724575
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2564718046310237
the lambda is 0.4747343077481672
the regulation term lambda/alpha is 1.8510194850897919
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29184159330343445
the lambda is 0.42689319280712146
the regulation term lambda/alpha is 1.4627565179281032
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.35138587874069516
the lambda is 0.4548408718264974
the regulation term lambda/alpha is 1.2944198937548848
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2643251168289764
the lambda is 0.4929932733506938
the regulation term lambda/alpha is 1.8651018838655058
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2942768346845289
the lambda is 0.5102083157724274
the regulation term lambda/alpha is 1.733769891603536
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2720053615715746
the lambda is 0.46427355284143296
the regulation term lambda/alpha is 1.706854416982753
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.241223422696633
the lambda is 0.43573559590234456
the regulation term lambda/alpha is 1.806356907763197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3261392208613144
the lambda is 0.5644075000079684
the regulation term lambda/alpha is 1.730572295222272
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3309423049549097
the lambda is 0.45903295218840445
the regulation term lambda/alpha is 1.3870482719063277
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2681058868734091
the lambda is 0.5072912501274016
the regulation term lambda/alpha is 1.892130217815501
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.34761451313982145
the lambda is 0.3407620204082189
the regulation term lambda/alpha is 0.9802870925333136
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3502412952078546
the lambda is 0.5703645219610074
the regulation term lambda/alpha is 1.628490214503456
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.3497822513358191
the lambda is 0.39802592879487453
the regulation term lambda/alpha is 1.1379248869112506
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3729532789765826
the lambda is 0.5573680491937774
the regulation term lambda/alpha is 1.4944715078608386
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36350595980330286
the lambda is 0.578743253550447
the regulation term lambda/alpha is 1.5921148964479466
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.46573799677303573
the lambda is 0.524246921821431
the regulation term lambda/alpha is 1.125626265097086
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.381113906451305
the lambda is 0.7954518779589981
the regulation term lambda/alpha is 2.0871762076743665
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34569585713033424
the lambda is 0.46987144068789893
the regulation term lambda/alpha is 1.3592047199765775
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27478764402110806
the lambda is 0.46392042940789613
the regulation term lambda/alpha is 1.6882870809586317
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2904413144716446
the lambda is 0.4917372884848269
the regulation term lambda/alpha is 1.6930693533713315
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30970945931924754
the lambda is 0.53851647841996
the regulation term lambda/alpha is 1.7387795632837255
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27660814460399213
the lambda is 0.47219315203689805
the regulation term lambda/alpha is 1.7070833279797906
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24158165709940554
the lambda is 0.4405228223763207
the regulation term lambda/alpha is 1.823494497328724
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.301745823689836
the lambda is 0.51790284091246
the regulation term lambda/alpha is 1.7163546278102308
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28457213541564735
the lambda is 0.4920228269300094
the regulation term lambda/alpha is 1.7289915831406284
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37638414835862644
the lambda is 0.5322694711779334
the regulation term lambda/alpha is 1.4141654835866688
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3592032344618995
the lambda is 0.4724530191449373
the regulation term lambda/alpha is 1.315280525947074
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3673933513411821
the lambda is 0.39356117867126333
the regulation term lambda/alpha is 1.071225642038852
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.3295680693575412
the lambda is 0.5164890685865907
the regulation term lambda/alpha is 1.567169627790194
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3293568868824357
the lambda is 0.5945136188170733
the regulation term lambda/alpha is 1.8050741991294252
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3202645888090066
the lambda is 0.44745572555518837
the regulation term lambda/alpha is 1.3971439278353488
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3586781533073898
the lambda is 0.6685107609588317
the regulation term lambda/alpha is 1.863817895777759
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30495647327562114
the lambda is 0.458993493854775
the regulation term lambda/alpha is 1.5051114964853836
110
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5194019443425069
the lambda is 0.6382297540920638
the regulation term lambda/alpha is 1.2287781380949143
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2909313882391724
the lambda is 0.4555397820539918
the regulation term lambda/alpha is 1.5657979869793084
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25828733945185195
the lambda is 0.35311606241206145
the regulation term lambda/alpha is 1.3671442942633538
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2401654351367346
the lambda is 0.36415626598385265
the regulation term lambda/alpha is 1.5162725884202517
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30352654891949593
the lambda is 0.44172497181286746
the regulation term lambda/alpha is 1.4553091760352923
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3017028403558722
the lambda is 0.42005840339846523
the regulation term lambda/alpha is 1.392291842208006
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3603265228945935
the lambda is 0.5695960323003771
the regulation term lambda/alpha is 1.5807774230014184
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31700992378360104
the lambda is 0.5060352940746761
the regulation term lambda/alpha is 1.596275876903174
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29358359753625507
the lambda is 0.5358512442869422
the regulation term lambda/alpha is 1.8252083862442934
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.6025277669024289
the lambda is 0.6041629093621191
the regulation term lambda/alpha is 1.0027138043248969
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.6377728493273143
the lambda is 0.7367823961382594
the regulation term lambda/alpha is 1.1552426493466672
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4696608094434555
the lambda is 0.5555547817033221
the regulation term lambda/alpha is 1.1828851173715138
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3370824262755638
the lambda is 0.4638903842835621
the regulation term lambda/alpha is 1.3761927295027039
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32911021351112035
the lambda is 0.3993183359163085
the regulation term lambda/alpha is 1.2133270847360558
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4643367367970034
the lambda is 0.4323079899274629
the regulation term lambda/alpha is 0.9310225869904782
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2851181270981166
the lambda is 0.42926443605984477
the regulation term lambda/alpha is 1.5055669747442035
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.44111855743285344
the lambda is 0.5320197456426454
the regulation term lambda/alpha is 1.2060697440134989
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2972964737409712
the lambda is 0.7180081371962352
the regulation term lambda/alpha is 2.4151249699040234
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.18798949016053024
the lambda is 0.44811146178460587
the regulation term lambda/alpha is 2.383704862447093
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24609632682693647
the lambda is 0.4043714664601314
the regulation term lambda/alpha is 1.6431430394509687
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33706415176356014
the lambda is 0.5144315866388044
the regulation term lambda/alpha is 1.5262126925905248
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34891734074905995
the lambda is 0.48104328391536966
the regulation term lambda/alpha is 1.3786740518045337
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.403239976782382
the lambda is 0.4378112764049119
the regulation term lambda/alpha is 1.0857338101702827
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27386538013210243
the lambda is 0.49958931610358953
the regulation term lambda/alpha is 1.8242149331273865
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4922219086482056
the lambda is 0.5706052511594761
the regulation term lambda/alpha is 1.1592439124185585
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37180077924485266
the lambda is 0.5948938839004311
the regulation term lambda/alpha is 1.60003398892464
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3629039459021495
the lambda is 0.5078539150019856
the regulation term lambda/alpha is 1.399416900082203
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3299433090440596
the lambda is 0.5820529789446034
the regulation term lambda/alpha is 1.7640999619934037
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34495804142253905
the lambda is 0.3972407212472109
the regulation term lambda/alpha is 1.1515624323731326
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32633551420004603
the lambda is 0.4998528892439202
the regulation term lambda/alpha is 1.531714654070739
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32863662667570875
the lambda is 0.5965652875337324
the regulation term lambda/alpha is 1.8152732809128107
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29456334266077844
the lambda is 0.4485149182411825
the regulation term lambda/alpha is 1.5226433614915076
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24468619384969323
the lambda is 0.34603334994433244
the regulation term lambda/alpha is 1.4141923763663393
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.355935503632267
the lambda is 0.5116343247693209
the regulation term lambda/alpha is 1.4374354891494987
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39937468632843254
the lambda is 0.49954569151885814
the regulation term lambda/alpha is 1.2508196153124445
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37666484454712307
the lambda is 0.5540785457828753
the regulation term lambda/alpha is 1.4710121048038416
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23938976419765765
the lambda is 0.38611251848969036
the regulation term lambda/alpha is 1.6129032073856244
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30211625246069945
the lambda is 0.35522934654190097
the regulation term lambda/alpha is 1.1758034983176242
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5495894263389139
the lambda is 0.705614090765493
the regulation term lambda/alpha is 1.2838931335814376
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2605968710818031
the lambda is 0.422120820627078
the regulation term lambda/alpha is 1.6198230580234843
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5496885205625911
the lambda is 0.6152571533897758
the regulation term lambda/alpha is 1.1192832492846623
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.261910818669265
the lambda is 0.4332646079497092
the regulation term lambda/alpha is 1.6542447927545363
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3495925969564178
the lambda is 0.4194139153001641
the regulation term lambda/alpha is 1.1997219590792725
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35534601182346914
the lambda is 0.36556299839731143
the regulation term lambda/alpha is 1.0287522196222592
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3277429285534087
the lambda is 0.3943602434531286
the regulation term lambda/alpha is 1.2032608764245665
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4860090690105045
the lambda is 0.5548298666109879
the regulation term lambda/alpha is 1.1416039370224096
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.34363217118686723
the lambda is 0.569879274943442
the regulation term lambda/alpha is 1.6583990753110878
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37757961661379374
the lambda is 0.44394857176171715
the regulation term lambda/alpha is 1.17577472995797
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35570489734891186
the lambda is 0.6338147121803173
the regulation term lambda/alpha is 1.7818554563183502
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3510333738978731
the lambda is 0.5820453780493371
the regulation term lambda/alpha is 1.6580912851285554
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35623963730179015
the lambda is 0.4694254738136535
the regulation term lambda/alpha is 1.3177238708447747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34856270275862067
the lambda is 0.5399005698725085
the regulation term lambda/alpha is 1.5489338520719156
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.303036654933928
the lambda is 0.4227221358882273
the regulation term lambda/alpha is 1.3949538084110475
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3403649227021444
the lambda is 0.48360014727589246
the regulation term lambda/alpha is 1.420828396288927
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3289058481623426
the lambda is 0.3953295226058207
the regulation term lambda/alpha is 1.2019534611944402
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3354255044364341
the lambda is 0.5056252883860463
the regulation term lambda/alpha is 1.507414557624572
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2739876442467727
the lambda is 0.5310541475755085
the regulation term lambda/alpha is 1.9382412262985242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28887118983130905
the lambda is 0.5131800215515937
the regulation term lambda/alpha is 1.7765012213619273
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26216916381146144
the lambda is 0.4770196918024774
the regulation term lambda/alpha is 1.819511054875719
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36331080331097954
the lambda is 0.5753230018754711
the regulation term lambda/alpha is 1.5835559984243508
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2990921119479213
the lambda is 0.6530664787763121
the regulation term lambda/alpha is 2.1834961628477374
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2911549840158202
the lambda is 0.5652147096568237
the regulation term lambda/alpha is 1.9412846789052811
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.20185290798110397
the lambda is 0.3985064744400665
the regulation term lambda/alpha is 1.974241929065356
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2789569008780674
the lambda is 0.6190928182469393
the regulation term lambda/alpha is 2.2193135079226662
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32277759232297404
the lambda is 0.43819926968061385
the regulation term lambda/alpha is 1.3575888788529902
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2907066281740141
the lambda is 0.43802975112721126
the regulation term lambda/alpha is 1.5067759337947086
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.29685008150652936
the lambda is 0.48183560825989297
the regulation term lambda/alpha is 1.6231614484138006
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.44194943945334175
the lambda is 0.4765860260803405
the regulation term lambda/alpha is 1.0783722831956561
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3729802594595508
the lambda is 0.6542193754049996
the regulation term lambda/alpha is 1.7540321741235445
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3415956416212231
the lambda is 0.418231099782931
the regulation term lambda/alpha is 1.224345538479337
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26236725789824517
the lambda is 0.4979616884231071
the regulation term lambda/alpha is 1.8979566749759353
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25600685551018176
the lambda is 0.4504254556751611
the regulation term lambda/alpha is 1.7594273199345907
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.43740670719910363
the lambda is 0.7916164919300908
the regulation term lambda/alpha is 1.8097950463520305
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33631100065607633
the lambda is 0.3987528617127026
the regulation term lambda/alpha is 1.1856670193208503
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35422221064801224
the lambda is 0.4752681177901918
the regulation term lambda/alpha is 1.3417230865358183
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28412887785368024
the lambda is 0.5308223575508662
the regulation term lambda/alpha is 1.8682450075498038
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28629084761944634
the lambda is 0.46954187972536876
the regulation term lambda/alpha is 1.6400869382646484
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22221761966660317
the lambda is 0.44349603908206026
the regulation term lambda/alpha is 1.9957735113329214
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26458879251925205
the lambda is 0.5660745781783983
the regulation term lambda/alpha is 2.1394503251199106
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25855178259088163
the lambda is 0.45865112593799207
the regulation term lambda/alpha is 1.7739236656656003
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3824942871795101
the lambda is 0.47620295382258565
the regulation term lambda/alpha is 1.24499363724901
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.40872038584705395
the lambda is 0.43965205634162846
the regulation term lambda/alpha is 1.075679294612306
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.23458593727873334
the lambda is 0.38385571550557834
the regulation term lambda/alpha is 1.63631170716548
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.389571442289312
the lambda is 0.6409788173983832
the regulation term lambda/alpha is 1.6453434410686747
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3626298280763685
the lambda is 0.5629093781458693
the regulation term lambda/alpha is 1.5522975071629315
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23039897313367141
the lambda is 0.48295844543937
the regulation term lambda/alpha is 2.0961831507780646
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3772742958520644
the lambda is 0.4078137085947364
the regulation term lambda/alpha is 1.0809475044508388
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32293609957710934
the lambda is 0.6652535813930249
the regulation term lambda/alpha is 2.0600161526202445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3544601977106298
the lambda is 0.5891133754683194
the regulation term lambda/alpha is 1.6620014864101982
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.24574481046195695
the lambda is 0.4868542368114231
the regulation term lambda/alpha is 1.9811374079323298
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2883980473596513
the lambda is 0.4786752734162476
the regulation term lambda/alpha is 1.6597729346596723
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30228975664797664
the lambda is 0.5200040557494423
the regulation term lambda/alpha is 1.7202172561705389
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.47946476331955423
the lambda is 0.43710759990916437
the regulation term lambda/alpha is 0.9116574008126649
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27110778121299794
the lambda is 0.5069201146288381
the regulation term lambda/alpha is 1.869810273835602
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3310012971827188
the lambda is 0.5088453241710789
the regulation term lambda/alpha is 1.5372910272620075
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3546115311398212
the lambda is 0.4605376842772014
the regulation term lambda/alpha is 1.2987104023292861
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2749060244700139
the lambda is 0.4570317211587889
the regulation term lambda/alpha is 1.6625016568476143
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36786003475212914
the lambda is 0.5469871530961157
the regulation term lambda/alpha is 1.486943678088558
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2882952239096083
the lambda is 0.5882977704919607
the regulation term lambda/alpha is 2.040608798557186
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3324728753551397
the lambda is 0.4586870735630346
the regulation term lambda/alpha is 1.379622542359511
120
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31751795887382683
the lambda is 0.5547886080403072
the regulation term lambda/alpha is 1.7472668632918662
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.4286815648285338
the lambda is 0.5341117008580567
the regulation term lambda/alpha is 1.245940447827966
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.45681768363673436
the lambda is 0.7223819704593495
the regulation term lambda/alpha is 1.5813353911968835
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5668298108215689
the lambda is 0.6427686312614652
the regulation term lambda/alpha is 1.1339711126516614
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2821780393105332
the lambda is 0.4111418546024465
the regulation term lambda/alpha is 1.4570299503356827
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3484283693882038
the lambda is 0.5251147098239588
the regulation term lambda/alpha is 1.507095162044336
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5204735946005846
the lambda is 0.570527208140829
the regulation term lambda/alpha is 1.096169362018559
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3029444730526658
the lambda is 0.4914609270690959
the regulation term lambda/alpha is 1.622280552329658
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4072756734781195
the lambda is 0.5739762384008091
the regulation term lambda/alpha is 1.409306461883846
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35571776176886005
the lambda is 0.44315549111371505
the regulation term lambda/alpha is 1.245806475645348
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32897882310050464
the lambda is 0.44744035226445733
the regulation term lambda/alpha is 1.3600886161835473
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.294690197327671
the lambda is 0.49820784217179453
the regulation term lambda/alpha is 1.6906155911858474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3650554004124294
the lambda is 0.6094394739209522
the regulation term lambda/alpha is 1.6694437973864364
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.316690577099421
the lambda is 0.5016210294936796
the regulation term lambda/alpha is 1.5839468104420487
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4804038351800074
the lambda is 0.6700084222510679
the regulation term lambda/alpha is 1.3946775050203661
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.320355543122598
the lambda is 0.5787051656195898
the regulation term lambda/alpha is 1.8064465499138347
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23699611972309156
the lambda is 0.4181210148099014
the regulation term lambda/alpha is 1.7642525763647008
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35673586866842794
the lambda is 0.5560112870509442
the regulation term lambda/alpha is 1.558607742827607
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4125299186040371
the lambda is 0.49532400519099434
the regulation term lambda/alpha is 1.2006983805371614
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2615529207356516
the lambda is 0.5495819670345405
the regulation term lambda/alpha is 2.1012266484685767
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23305681799121647
the lambda is 0.5945744392139849
the regulation term lambda/alpha is 2.5511995072222837
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2635884681403908
the lambda is 0.4479413873880269
the regulation term lambda/alpha is 1.6993967549044948
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3203327607522558
the lambda is 0.4346604594557365
the regulation term lambda/alpha is 1.356902923182126
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3417751563335587
the lambda is 0.4482153120120862
the regulation term lambda/alpha is 1.311433273326181
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3623132365369489
the lambda is 0.5256106033541463
the regulation term lambda/alpha is 1.4507077035827374
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29024897620663354
the lambda is 0.4685740892389323
the regulation term lambda/alpha is 1.6143867081389665
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32776884185332483
the lambda is 0.5568872664071084
the regulation term lambda/alpha is 1.6990244199487183
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37396593016816115
the lambda is 0.5378449155191364
the regulation term lambda/alpha is 1.4382190251322728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28778232093828243
the lambda is 0.3998925870976651
the regulation term lambda/alpha is 1.3895662033507117
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.339327913825613
the lambda is 0.4601806147421135
the regulation term lambda/alpha is 1.3561531368109285
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3461720579183551
the lambda is 0.4532250143372385
the regulation term lambda/alpha is 1.3092478262475242
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4036604887331048
the lambda is 0.49212519362530893
the regulation term lambda/alpha is 1.2191562150901916
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2273538588851712
the lambda is 0.40253839491587545
the regulation term lambda/alpha is 1.7705368929725713
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28771486927799467
the lambda is 0.49489957766836673
the regulation term lambda/alpha is 1.7201042786224126
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30805111401160323
the lambda is 0.3629500472643367
the regulation term lambda/alpha is 1.1782137143989215
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3040818191158352
the lambda is 0.3970855347725545
the regulation term lambda/alpha is 1.3058509579005477
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28213160450547037
the lambda is 0.6675109889215749
the regulation term lambda/alpha is 2.3659560937584794
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39916474540149016
the lambda is 0.3958350248384051
the regulation term lambda/alpha is 0.9916582799421929
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2644231959119559
the lambda is 0.4759099434893313
the regulation term lambda/alpha is 1.7998040672944344
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36292900969469455
the lambda is 0.4556753279440781
the regulation term lambda/alpha is 1.2555494759909223
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.30485058071698923
the lambda is 0.3940391443295991
the regulation term lambda/alpha is 1.2925648473519191
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26592657566747957
the lambda is 0.4644922299668473
the regulation term lambda/alpha is 1.7466935329835502
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5407874137645263
the lambda is 0.4804807772660541
the regulation term lambda/alpha is 0.888483653717704
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32941137185999075
the lambda is 0.4443861007598116
the regulation term lambda/alpha is 1.349030843260288
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34769562937216647
the lambda is 0.47935644583765624
the regulation term lambda/alpha is 1.3786668722388875
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.6385666133792763
the lambda is 0.47586417027792904
the regulation term lambda/alpha is 0.7452067807924837
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25852023913921524
the lambda is 0.27625138956838036
the regulation term lambda/alpha is 1.0685870881452215
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30643752999139834
the lambda is 0.47234706776429425
the regulation term lambda/alpha is 1.5414138985441925
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.38279350905582415
the lambda is 0.561220371370242
the regulation term lambda/alpha is 1.466117784375485
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25972661465666835
the lambda is 0.4873845995998085
the regulation term lambda/alpha is 1.8765292892454646
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3353630478500194
the lambda is 0.4486983090902997
the regulation term lambda/alpha is 1.3379479700189447
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26406709769032105
the lambda is 0.3932609764783588
the regulation term lambda/alpha is 1.4892464071368219
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3974170254426703
the lambda is 0.5113634316835838
the regulation term lambda/alpha is 1.28671747546294
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3711984090495571
the lambda is 0.4703054250404886
the regulation term lambda/alpha is 1.2669920279149154
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2332977759930679
the lambda is 0.5141900807469394
the regulation term lambda/alpha is 2.204007640270938
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4958786077941805
the lambda is 0.6952573487137494
the regulation term lambda/alpha is 1.402071671949041
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2968905555367819
the lambda is 0.36938406499551013
the regulation term lambda/alpha is 1.2441758692109928
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.283803886536296
the lambda is 0.36108273300533966
the regulation term lambda/alpha is 1.2722966461530836
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27824744187928296
the lambda is 0.4771274707209902
the regulation term lambda/alpha is 1.714759594907582
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3290139657919855
the lambda is 0.4788601301853474
the regulation term lambda/alpha is 1.4554401331647424
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.262483011050995
the lambda is 0.4981779389740804
the regulation term lambda/alpha is 1.897943554439395
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3015048483120967
the lambda is 0.4437674796111976
the regulation term lambda/alpha is 1.4718419358611463
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35627522773716785
the lambda is 0.48698325666266534
the regulation term lambda/alpha is 1.3668737502623216
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2910058608543954
the lambda is 0.5077798226924574
the regulation term lambda/alpha is 1.7449127010762326
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36679327983579096
the lambda is 0.624769477478227
the regulation term lambda/alpha is 1.7033285826772206
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2818168545924697
the lambda is 0.5240758983561443
the regulation term lambda/alpha is 1.8596329134181881
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3182120533274783
the lambda is 0.6425763314808511
the regulation term lambda/alpha is 2.0193337265561184
using Bay_non_info_prior option for model regressor
Convergence after  10  iterations
the alpha is 0.23607048151765614
the lambda is 0.3050907973198383
the regulation term lambda/alpha is 1.2923716483249517
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4215185099046315
the lambda is 0.6589123568372481
the regulation term lambda/alpha is 1.5631872417330543
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4092882429185357
the lambda is 0.4177530197200187
the regulation term lambda/alpha is 1.020681700361395
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.5070869640559443
the lambda is 0.7960558388644617
the regulation term lambda/alpha is 1.5698605866283657
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41952530549178435
the lambda is 0.5064683043437007
the regulation term lambda/alpha is 1.2072413695045126
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.48969133028528855
the lambda is 0.4681125938907628
the regulation term lambda/alpha is 0.9559340036059977
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3454265807637568
the lambda is 0.5296418014933207
the regulation term lambda/alpha is 1.5332977570002115
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22852195530546643
the lambda is 0.4786965259457376
the regulation term lambda/alpha is 2.0947507004561623
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2599249622110527
the lambda is 0.34054754798907416
the regulation term lambda/alpha is 1.3101763874166032
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.283399275120737
the lambda is 0.4103533197878754
the regulation term lambda/alpha is 1.447968840474458
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3010604206480813
the lambda is 0.6006312985080057
the regulation term lambda/alpha is 1.99505234602094
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3405940204929052
the lambda is 0.5115969055937507
the regulation term lambda/alpha is 1.502072481640668
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2869971416997515
the lambda is 0.6279252282398384
the regulation term lambda/alpha is 2.1879145712773562
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3956803092086945
the lambda is 0.48906695066603767
the regulation term lambda/alpha is 1.2360153873820596
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.20776783768160076
the lambda is 0.3864460446970626
the regulation term lambda/alpha is 1.8599897318529248
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3669707994283485
the lambda is 0.6269637008625042
the regulation term lambda/alpha is 1.7084838952831167
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35917667873999776
the lambda is 0.5096192530359098
the regulation term lambda/alpha is 1.4188539601837986
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2743656984251319
the lambda is 0.5568586500515429
the regulation term lambda/alpha is 2.0296219726005464
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2949091787563519
the lambda is 0.4961664743613413
the regulation term lambda/alpha is 1.6824382220102554
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25429162647600034
the lambda is 0.3770443687223367
the regulation term lambda/alpha is 1.4827242797863875
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3514897519198515
the lambda is 0.43193951794982893
the regulation term lambda/alpha is 1.2288822521582992
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22312370506298654
the lambda is 0.4375065446564176
the regulation term lambda/alpha is 1.9608250254400894
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4360680061222553
the lambda is 0.4927557111405311
the regulation term lambda/alpha is 1.1299973954117215
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31489537516188915
the lambda is 0.5716262467243675
the regulation term lambda/alpha is 1.8152894320232293
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3044306455351187
the lambda is 0.3788576729095862
the regulation term lambda/alpha is 1.2444794190927855
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37376220098314916
the lambda is 0.5219024341436019
the regulation term lambda/alpha is 1.396348889135345
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2932145921651718
the lambda is 0.36071042934049063
the regulation term lambda/alpha is 1.2301926267615546
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.42392940315658273
the lambda is 0.5108959590735064
the regulation term lambda/alpha is 1.20514395856803
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3288303127159609
the lambda is 0.3793073026361982
the regulation term lambda/alpha is 1.153504673894948
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2877790560435683
the lambda is 0.3825373577420033
the regulation term lambda/alpha is 1.3292744892598753
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4330636506839111
the lambda is 0.4803458876455639
the regulation term lambda/alpha is 1.1091808026071521
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25870423885833604
the lambda is 0.381509959552929
the regulation term lambda/alpha is 1.4746954330417452
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2955143478128276
the lambda is 0.4070713176455719
the regulation term lambda/alpha is 1.3775010271359214
130
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.45860699397589055
the lambda is 0.6720968755174571
the regulation term lambda/alpha is 1.4655181546419895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.365842769468066
the lambda is 0.6967731936106527
the regulation term lambda/alpha is 1.9045700824530667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30507410532746837
the lambda is 0.5628624178712878
the regulation term lambda/alpha is 1.8450022733561995
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3097787745227822
the lambda is 0.3711584778626836
the regulation term lambda/alpha is 1.1981404421089132
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37215540277605985
the lambda is 0.5328040511147708
the regulation term lambda/alpha is 1.431670874963434
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4324860523858388
the lambda is 0.6045048707918583
the regulation term lambda/alpha is 1.3977441988176635
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41305582844742683
the lambda is 0.612198397998114
the regulation term lambda/alpha is 1.482120226457557
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3675088377881408
the lambda is 0.533943214156552
the regulation term lambda/alpha is 1.4528717659420105
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2853582217611256
the lambda is 0.4405640481627292
the regulation term lambda/alpha is 1.5438982113209516
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3296250085158217
the lambda is 0.5606849298329488
the regulation term lambda/alpha is 1.700978127713985
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4102374768623043
the lambda is 0.4109627571542067
the regulation term lambda/alpha is 1.001767952302773
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3162532587148354
the lambda is 0.44765591579228264
the regulation term lambda/alpha is 1.4154981915804783
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43949471421115555
the lambda is 0.5269183786308236
the regulation term lambda/alpha is 1.1989185798891435
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.324886669797128
the lambda is 0.4221234214269961
the regulation term lambda/alpha is 1.2992943714513943
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2725868296755673
the lambda is 0.47420925969769034
the regulation term lambda/alpha is 1.7396631387587358
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2816235064789122
the lambda is 0.5061370042567158
the regulation term lambda/alpha is 1.7972114990856243
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30460173842218974
the lambda is 0.7114786486785829
the regulation term lambda/alpha is 2.335766868449208
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.45635387587150344
the lambda is 0.5204772194652018
the regulation term lambda/alpha is 1.1405123238435115
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4198515434612575
the lambda is 0.5367919020864949
the regulation term lambda/alpha is 1.2785278759753522
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22520114066667193
the lambda is 0.49437619252051695
the regulation term lambda/alpha is 2.1952650464247
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3512230171189944
the lambda is 0.5135906479211026
the regulation term lambda/alpha is 1.462292113238974
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2980854843220089
the lambda is 0.4774902984634617
the regulation term lambda/alpha is 1.6018569288924165
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3699596820648164
the lambda is 0.5903976556266505
the regulation term lambda/alpha is 1.5958432344074014
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2481519537935839
the lambda is 0.37169554634683505
the regulation term lambda/alpha is 1.4978546034580746
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42322458809378644
the lambda is 0.4595986693061702
the regulation term lambda/alpha is 1.0859451039369274
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2964079859885899
the lambda is 0.5556434592605745
the regulation term lambda/alpha is 1.874590043204719
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3254627030574445
the lambda is 0.4878499531268769
the regulation term lambda/alpha is 1.4989427315140649
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35088547041346524
the lambda is 0.5116813352739455
the regulation term lambda/alpha is 1.458257404249332
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.45645362357265795
the lambda is 0.5243764434040477
the regulation term lambda/alpha is 1.1488055222341285
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4304459490609734
the lambda is 0.5762047710959499
the regulation term lambda/alpha is 1.3386228221056613
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3123839166510639
the lambda is 0.48078728334580867
the regulation term lambda/alpha is 1.5390910277972252
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3852026017035075
the lambda is 0.546847293536077
the regulation term lambda/alpha is 1.4196355141884225
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3741026117351451
the lambda is 0.4485776556482711
the regulation term lambda/alpha is 1.1990765142421738
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2932665726998306
the lambda is 0.432247077944101
the regulation term lambda/alpha is 1.4739050344701992
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3512536971252571
the lambda is 0.5503587393799644
the regulation term lambda/alpha is 1.566841129030754
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26093027809158065
the lambda is 0.5107458583430898
the regulation term lambda/alpha is 1.9574035718607925
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.48543932159035624
the lambda is 0.5575328698438475
the regulation term lambda/alpha is 1.1485119664746242
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30657269189487646
the lambda is 0.39965244182999804
the regulation term lambda/alpha is 1.3036139630043715
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3436512190105914
the lambda is 0.5086350921939964
the regulation term lambda/alpha is 1.4800910459692567
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28075684543044266
the lambda is 0.5321567851559488
the regulation term lambda/alpha is 1.8954365452428132
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35842046024146373
the lambda is 0.6314874354833964
the regulation term lambda/alpha is 1.7618621299073456
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37046024451925036
the lambda is 0.4662441251409591
the regulation term lambda/alpha is 1.2585537369765771
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31874753437465064
the lambda is 0.5517528503963219
the regulation term lambda/alpha is 1.731002724393785
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2539620497151839
the lambda is 0.4571681041034815
the regulation term lambda/alpha is 1.800143386053906
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3405700105874399
the lambda is 0.4708832520442068
the regulation term lambda/alpha is 1.3826327551036954
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4234641403589546
the lambda is 0.5472943536251407
the regulation term lambda/alpha is 1.2924219584714303
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33098645387792536
the lambda is 0.4727328414127557
the regulation term lambda/alpha is 1.4282543465875777
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3378602716211054
the lambda is 0.5105506429671246
the regulation term lambda/alpha is 1.5111295581378195
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2907191486489232
the lambda is 0.37174556494681193
the regulation term lambda/alpha is 1.2787102833592068
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3419267272856574
the lambda is 0.5345383105735179
the regulation term lambda/alpha is 1.5633124523984525
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4074723512025078
the lambda is 0.4945867978059489
the regulation term lambda/alpha is 1.213792288842063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2227850206493534
the lambda is 0.5018995337249945
the regulation term lambda/alpha is 2.2528423691238473
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23564643297848814
the lambda is 0.42164173609138617
the regulation term lambda/alpha is 1.7892981903523117
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3492146773478587
the lambda is 0.6480697071576225
the regulation term lambda/alpha is 1.8557917212399098
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35213525403242807
the lambda is 0.5285059655658325
the regulation term lambda/alpha is 1.5008607048391767
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24687861427896166
the lambda is 0.3551733044827825
the regulation term lambda/alpha is 1.4386556142989881
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2590533746926194
the lambda is 0.4063195183161084
the regulation term lambda/alpha is 1.5684779972398666
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27117755730317766
the lambda is 0.4561652762684447
the regulation term lambda/alpha is 1.682164559652147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44810387320283634
the lambda is 0.5446397486222753
the regulation term lambda/alpha is 1.215431914768881
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3160965367330233
the lambda is 0.5324608979808907
the regulation term lambda/alpha is 1.6844882373090022
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3538364177042421
the lambda is 0.46398923925797975
the regulation term lambda/alpha is 1.3113100179694053
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2705277238715911
the lambda is 0.4629069427360137
the regulation term lambda/alpha is 1.7111257068637353
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3404821812078135
the lambda is 0.49239664848082904
the regulation term lambda/alpha is 1.4461745009213698
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27114749677620187
the lambda is 0.5041731099087374
the regulation term lambda/alpha is 1.8594053638815957
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31685358532325414
the lambda is 0.41324663615732804
the regulation term lambda/alpha is 1.3042195364011226
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3195596809453194
the lambda is 0.45772564086730716
the regulation term lambda/alpha is 1.4323635557316434
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4085349457038293
the lambda is 0.5592324066149207
the regulation term lambda/alpha is 1.3688728773286893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3361225229693091
the lambda is 0.6604490999046676
the regulation term lambda/alpha is 1.964905814910155
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3671264105106504
the lambda is 0.43156386945140235
the regulation term lambda/alpha is 1.1755184511272925
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.341598030513533
the lambda is 0.5033156324738031
the regulation term lambda/alpha is 1.4734149131865775
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34695014665460344
the lambda is 0.5846636002752227
the regulation term lambda/alpha is 1.685151615910018
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26470334877736557
the lambda is 0.4926586306011927
the regulation term lambda/alpha is 1.8611726405303388
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40257272302525726
the lambda is 0.5711718375348264
the regulation term lambda/alpha is 1.4188041187753082
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31836850160702956
the lambda is 0.47563404330976006
the regulation term lambda/alpha is 1.4939733073746329
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3073817896145697
the lambda is 0.5461604227667871
the regulation term lambda/alpha is 1.7768145063233098
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30170267732524503
the lambda is 0.5014133756928147
the regulation term lambda/alpha is 1.661945396501322
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3146563505676254
the lambda is 0.49504538177243174
the regulation term lambda/alpha is 1.573289021115871
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3321444965575926
the lambda is 0.511087183847391
the regulation term lambda/alpha is 1.5387495175876578
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3761344796747494
the lambda is 0.6347259282056696
the regulation term lambda/alpha is 1.6874973247720582
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23231100016020914
the lambda is 0.6057275752272038
the regulation term lambda/alpha is 2.607399455081656
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2994590019587462
the lambda is 0.5015519250318516
the regulation term lambda/alpha is 1.6748600701639484
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.457857755038978
the lambda is 0.45404911554488625
the regulation term lambda/alpha is 0.9916816097310233
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24991110213770798
the lambda is 0.3778286477746276
the regulation term lambda/alpha is 1.5118521928106798
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2204502643042679
the lambda is 0.38843287328889325
the regulation term lambda/alpha is 1.7619977663205424
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.24968326021088572
the lambda is 0.3983237735996883
the regulation term lambda/alpha is 1.595316294986131
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25890893649029645
the lambda is 0.45541578826783824
the regulation term lambda/alpha is 1.758980568385698
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.352352827954081
the lambda is 0.5242653040529374
the regulation term lambda/alpha is 1.4878986699129322
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3046558886298329
the lambda is 0.42465843464742553
the regulation term lambda/alpha is 1.3938953767061426
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4124280789143493
the lambda is 0.5566413649299703
the regulation term lambda/alpha is 1.3496689323269146
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.20945305668122438
the lambda is 0.4679151618922928
the regulation term lambda/alpha is 2.2339858358067937
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2852177776787369
the lambda is 0.4417212096932867
the regulation term lambda/alpha is 1.5487155579440488
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37349839739787405
the lambda is 0.5083863759598625
the regulation term lambda/alpha is 1.3611474092037328
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29001871159085674
the lambda is 0.52295713961676
the regulation term lambda/alpha is 1.803184135079259
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.473582282560764
the lambda is 0.5577110930919462
the regulation term lambda/alpha is 1.1776434922275367
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40546016591452816
the lambda is 0.5120316643985509
the regulation term lambda/alpha is 1.2628408594556937
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3761032557197354
the lambda is 0.49885762374194487
the regulation term lambda/alpha is 1.3263847524725592
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.253745462230414
the lambda is 0.5417206695733605
the regulation term lambda/alpha is 2.1348979595995696
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3389687946418033
the lambda is 0.45083354959651417
the regulation term lambda/alpha is 1.3300149061594921
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37973593113961374
the lambda is 0.47211225064728046
the regulation term lambda/alpha is 1.2432646266326155
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3036714582092054
the lambda is 0.49628619210482516
the regulation term lambda/alpha is 1.6342865906183506
140
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2730009252162634
the lambda is 0.5092467957695656
the regulation term lambda/alpha is 1.8653665564179134
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2840458113705765
the lambda is 0.5775866737533297
the regulation term lambda/alpha is 2.0334278860383868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3865789969974541
the lambda is 0.535794203233291
the regulation term lambda/alpha is 1.3859889114379889
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31311202012948947
the lambda is 0.4694740972429464
the regulation term lambda/alpha is 1.4993806275747332
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2632693614772306
the lambda is 0.3771473454814732
the regulation term lambda/alpha is 1.4325531211275853
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33050147492176424
the lambda is 0.37888238056388823
the regulation term lambda/alpha is 1.1463863532033454
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23067908924123076
the lambda is 0.5712942928951608
the regulation term lambda/alpha is 2.4765759860345837
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3691045344960197
the lambda is 0.5101735392225394
the regulation term lambda/alpha is 1.382192553985112
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22387436199624072
the lambda is 0.48055869333096357
the regulation term lambda/alpha is 2.1465552779064225
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3963648040415133
the lambda is 0.5050343643558463
the regulation term lambda/alpha is 1.2741655142088535
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28128802449039964
the lambda is 0.5362158515674924
the regulation term lambda/alpha is 1.9062875233986134
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3702975400640776
the lambda is 0.5457475239221219
the regulation term lambda/alpha is 1.4738081269124386
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.25264830445790404
the lambda is 0.41246023170015034
the regulation term lambda/alpha is 1.6325470008007672
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.36561930746766624
the lambda is 0.45156642312274076
the regulation term lambda/alpha is 1.235072694192101
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3436518953897871
the lambda is 0.3803454275313506
the regulation term lambda/alpha is 1.1067752939349975
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3329531832125125
the lambda is 0.46777801314317274
the regulation term lambda/alpha is 1.404936299541567
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38628006232324713
the lambda is 0.5073759261723328
the regulation term lambda/alpha is 1.3134924001015362
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22009418040886836
the lambda is 0.46914267750418115
the regulation term lambda/alpha is 2.131554212985805
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3146633521656699
the lambda is 0.4345984726221487
the regulation term lambda/alpha is 1.3811537620476793
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32239702854455654
the lambda is 0.4557150383350485
the regulation term lambda/alpha is 1.4135212113844495
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3339322611456959
the lambda is 0.49639008823190534
the regulation term lambda/alpha is 1.486499347289265
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2729877465214838
the lambda is 0.369487779780996
the regulation term lambda/alpha is 1.3534958418066498
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3259482906594562
the lambda is 0.5374818033369616
the regulation term lambda/alpha is 1.6489787452160967
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24372157534909292
the lambda is 0.4491883655038721
the regulation term lambda/alpha is 1.8430389876664806
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2979330629500711
the lambda is 0.51820337719517
the regulation term lambda/alpha is 1.7393281969581627
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38027533553689025
the lambda is 0.47416087338257834
the regulation term lambda/alpha is 1.2468883176794419
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.287816844219974
the lambda is 0.4867481312724791
the regulation term lambda/alpha is 1.6911731924225568
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2699904674519907
the lambda is 0.5463839018942755
the regulation term lambda/alpha is 2.023715529850819
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38658888952501547
the lambda is 0.6317874376688538
the regulation term lambda/alpha is 1.6342617565784234
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3290506819016537
the lambda is 0.504212030026451
the regulation term lambda/alpha is 1.5323233099305635
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2975627002371607
the lambda is 0.5014055768354645
the regulation term lambda/alpha is 1.6850417624112122
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32627639707903316
the lambda is 0.463170511742063
the regulation term lambda/alpha is 1.4195648716504317
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23523273877683473
the lambda is 0.4072432960782859
the regulation term lambda/alpha is 1.731235618799803
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.252712707915743
the lambda is 0.4669120259722348
the regulation term lambda/alpha is 1.8476001061565452
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34061140714580246
the lambda is 0.5036527316710879
the regulation term lambda/alpha is 1.4786725315265024
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36603448716898873
the lambda is 0.5704167260821095
the regulation term lambda/alpha is 1.5583688042453845
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3382816354893779
the lambda is 0.46273462390156245
the regulation term lambda/alpha is 1.3678975603631087
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3872711968300305
the lambda is 0.5945816421368352
the regulation term lambda/alpha is 1.5353107770568106
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31096887442534
the lambda is 0.5004919507125518
the regulation term lambda/alpha is 1.6094599552364979
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2469547524253499
the lambda is 0.5325163718553352
the regulation term lambda/alpha is 2.156331743469102
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23411863214464346
the lambda is 0.4715303187506587
the regulation term lambda/alpha is 2.0140657513295963
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32229340849963933
the lambda is 0.44298600558830187
the regulation term lambda/alpha is 1.3744805010146448
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26312927225771826
the lambda is 0.43828964563324735
the regulation term lambda/alpha is 1.6656818219904121
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3165032212916506
the lambda is 0.5744590528000216
the regulation term lambda/alpha is 1.8150180287443916
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3743504286158422
the lambda is 0.5764509504385579
the regulation term lambda/alpha is 1.5398698822650765
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33131928375471026
the lambda is 0.49822869893784166
the regulation term lambda/alpha is 1.5037721115765226
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29293556978311025
the lambda is 0.39730123637156844
the regulation term lambda/alpha is 1.3562751586150177
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39043658060789377
the lambda is 0.6034982710858461
the regulation term lambda/alpha is 1.5457011485609877
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40353669214518106
the lambda is 0.6674013021092862
the regulation term lambda/alpha is 1.6538800934344133
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3849529822300505
the lambda is 0.5402278031531195
the regulation term lambda/alpha is 1.403360483203831
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3152956170025845
the lambda is 0.48514922593885335
the regulation term lambda/alpha is 1.5387122426598037
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34028319551122266
the lambda is 0.4723780552096321
the regulation term lambda/alpha is 1.3881909581222707
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2533667997790418
the lambda is 0.4002739444454042
the regulation term lambda/alpha is 1.579820026911491
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30259363203619566
the lambda is 0.44321400885139023
the regulation term lambda/alpha is 1.4647169071898176
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3834606863603528
the lambda is 0.3912824764641053
the regulation term lambda/alpha is 1.0203978931399555
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30088070062471745
the lambda is 0.4141880553850807
the regulation term lambda/alpha is 1.376585651805196
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4272959780479365
the lambda is 0.444546320200796
the regulation term lambda/alpha is 1.040370944354932
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3640702192870936
the lambda is 0.5035676075462681
the regulation term lambda/alpha is 1.3831606675556494
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.323651371743448
the lambda is 0.40698734133123005
the regulation term lambda/alpha is 1.2574868419029623
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3135725422211538
the lambda is 0.49177897578231633
the regulation term lambda/alpha is 1.5683100704508706
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4726295189455046
the lambda is 0.39810597552618276
the regulation term lambda/alpha is 0.8423214369140692
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39327525305528493
the lambda is 0.43912362639992053
the regulation term lambda/alpha is 1.1165808755787399
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.357440069327384
the lambda is 0.47757695265826433
the regulation term lambda/alpha is 1.33610356991299
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28839519024063504
the lambda is 0.4676228195594764
the regulation term lambda/alpha is 1.621465389798266
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31269823320951645
the lambda is 0.4193304095411028
the regulation term lambda/alpha is 1.3410066479657397
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3766428212467414
the lambda is 0.5218135223018547
the regulation term lambda/alpha is 1.3854333412610325
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3933029265768396
the lambda is 0.5448689933786036
the regulation term lambda/alpha is 1.3853672489064293
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37394330287786043
the lambda is 0.47814245123630145
the regulation term lambda/alpha is 1.2786495908778854
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40317136581629714
the lambda is 0.40906594128758395
the regulation term lambda/alpha is 1.014620521125929
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3992769144953048
the lambda is 0.457203304703663
the regulation term lambda/alpha is 1.1450782354436357
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28644060112030034
the lambda is 0.5657258095787903
the regulation term lambda/alpha is 1.9750196283842971
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.20896752685956987
the lambda is 0.41355775652592325
the regulation term lambda/alpha is 1.9790527396337607
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32749289526851527
the lambda is 0.5672487376463686
the regulation term lambda/alpha is 1.7320947899687251
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.398147362583732
the lambda is 0.5629554121140435
the regulation term lambda/alpha is 1.4139373132118933
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26810607206532777
the lambda is 0.5126162398781192
the regulation term lambda/alpha is 1.9119904145744717
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4150637576761149
the lambda is 0.42346088159027234
the regulation term lambda/alpha is 1.0202309253912503
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.451230234840347
the lambda is 0.4987204251441146
the regulation term lambda/alpha is 1.1052460288273245
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3283856961331754
the lambda is 0.4536037524644325
the regulation term lambda/alpha is 1.381313978671213
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3280288840271222
the lambda is 0.5194593150918715
the regulation term lambda/alpha is 1.5835779725084251
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2372373026719134
the lambda is 0.44357434205847207
the regulation term lambda/alpha is 1.8697495590392539
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26623641955942384
the lambda is 0.48387112974053165
the regulation term lambda/alpha is 1.8174490572749453
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3111991833061293
the lambda is 0.426235319514286
the regulation term lambda/alpha is 1.3696543640829375
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24763247348467443
the lambda is 0.43266143653497124
the regulation term lambda/alpha is 1.7471918381566702
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33990165599645694
the lambda is 0.5476495392487937
the regulation term lambda/alpha is 1.6111999738374392
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.43807175049510205
the lambda is 0.42844749230153334
the regulation term lambda/alpha is 0.9780304067023461
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3373275740276628
the lambda is 0.4274378254489927
the regulation term lambda/alpha is 1.267129811967107
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28147079721220813
the lambda is 0.352818397690203
the regulation term lambda/alpha is 1.2534813600012795
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27217264388825707
the lambda is 0.41843013058697265
the regulation term lambda/alpha is 1.5373702684049426
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23290724496729126
the lambda is 0.5341777600184107
the regulation term lambda/alpha is 2.2935214406637665
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31537017716094606
the lambda is 0.5241199961519428
the regulation term lambda/alpha is 1.6619199724914488
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23245732077185421
the lambda is 0.42687966087817875
the regulation term lambda/alpha is 1.8363786498990962
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.46167482326112064
the lambda is 0.6266680296539572
the regulation term lambda/alpha is 1.3573796925450217
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30724133268152765
the lambda is 0.455653866931185
the regulation term lambda/alpha is 1.4830487257503697
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2498167691719913
the lambda is 0.5321410891162652
the regulation term lambda/alpha is 2.130125575156655
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3695539754542569
the lambda is 0.5139822516955366
the regulation term lambda/alpha is 1.3908178123743575
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3005732708261799
the lambda is 0.4878564034953678
the regulation term lambda/alpha is 1.6230864512816006
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31544922929520447
the lambda is 0.5133103099893476
the regulation term lambda/alpha is 1.6272358982655186
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3184800102022557
the lambda is 0.5982595987145484
the regulation term lambda/alpha is 1.878483985021899
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40939583711903055
the lambda is 0.5290061566080321
the regulation term lambda/alpha is 1.2921630086195166
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36301071580680244
the lambda is 0.4501422723940285
the regulation term lambda/alpha is 1.240024750766857
150
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4054188217256015
the lambda is 0.5815466320931482
the regulation term lambda/alpha is 1.4344342219186723
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38591527638436557
the lambda is 0.6066951501468538
the regulation term lambda/alpha is 1.572094154527832
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.282748115412766
the lambda is 0.4146142427227465
the regulation term lambda/alpha is 1.466373143168355
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26629814607309
the lambda is 0.5924546920766179
the regulation term lambda/alpha is 2.2247796344553175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33477742371594194
the lambda is 0.4780908429759449
the regulation term lambda/alpha is 1.4280856745633008
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3872072199949932
the lambda is 0.5652665792863462
the regulation term lambda/alpha is 1.459855472978152
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40016420467862085
the lambda is 0.5005793629625057
the regulation term lambda/alpha is 1.2509348840047552
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2639185392385741
the lambda is 0.41477735022055917
the regulation term lambda/alpha is 1.5716112684513361
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2699092855043109
the lambda is 0.3924901558548396
the regulation term lambda/alpha is 1.4541558106142696
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2399810785584981
the lambda is 0.42278211150020517
the regulation term lambda/alpha is 1.7617310249614002
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44815598916115895
the lambda is 0.6189992127714737
the regulation term lambda/alpha is 1.3812137464236338
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43109497644084976
the lambda is 0.6120830115908719
the regulation term lambda/alpha is 1.4198333198968636
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38407881172331343
the lambda is 0.5489681061424397
the regulation term lambda/alpha is 1.4293110928959833
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3392021271255274
the lambda is 0.4768877692917629
the regulation term lambda/alpha is 1.405910314693524
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3164648583322705
the lambda is 0.44524384057267524
the regulation term lambda/alpha is 1.4069298023137657
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24102231651910605
the lambda is 0.3504986205815474
the regulation term lambda/alpha is 1.4542164627886773
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23647893664788244
the lambda is 0.38586262371182023
the regulation term lambda/alpha is 1.6316997580480936
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2947255685579452
the lambda is 0.4945645870340472
the regulation term lambda/alpha is 1.678051176400775
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3236289725250486
the lambda is 0.3879223693302714
the regulation term lambda/alpha is 1.1986639091784237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23385076858331524
the lambda is 0.455478763852763
the regulation term lambda/alpha is 1.9477325929355975
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23553153915950156
the lambda is 0.4505645171275349
the regulation term lambda/alpha is 1.9129689328884885
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.4707096282804561
the lambda is 0.5961663400805463
the regulation term lambda/alpha is 1.2665267593067824
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27167975451106957
the lambda is 0.4547176783672466
the regulation term lambda/alpha is 1.6737267713804531
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37967834699927916
the lambda is 0.5572607898048196
the regulation term lambda/alpha is 1.46771812037487
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4332214246519673
the lambda is 0.5086430868122246
the regulation term lambda/alpha is 1.1740949497611943
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2539588439572727
the lambda is 0.4272860325826727
the regulation term lambda/alpha is 1.6825010931872153
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29816865349266103
the lambda is 0.4354349563057209
the regulation term lambda/alpha is 1.4603646332542413
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2428255623563028
the lambda is 0.38533231184961525
the regulation term lambda/alpha is 1.5868688127826076
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3666059581182607
the lambda is 0.4941833598885597
the regulation term lambda/alpha is 1.3479959857312105
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4746216633569045
the lambda is 0.5169843062469625
the regulation term lambda/alpha is 1.0892556032744807
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39757588729796717
the lambda is 0.501989212180716
the regulation term lambda/alpha is 1.2626248930546817
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28629523916965394
the lambda is 0.5477781611226236
the regulation term lambda/alpha is 1.9133331127382773
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2287895244179089
the lambda is 0.5167785733447674
the regulation term lambda/alpha is 2.258751027432599
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.232583557952695
the lambda is 0.5052330335273195
the regulation term lambda/alpha is 2.1722646173900158
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3155871458482463
the lambda is 0.44977176555976034
the regulation term lambda/alpha is 1.4251903839456066
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2934678293891512
the lambda is 0.4566723619622991
the regulation term lambda/alpha is 1.5561241002560846
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3048323469400596
the lambda is 0.5775127858539904
the regulation term lambda/alpha is 1.8945259308965297
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3576947567632972
the lambda is 0.411954688623182
the regulation term lambda/alpha is 1.1516933945324535
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3102931788377643
the lambda is 0.45866648137897076
the regulation term lambda/alpha is 1.4781713316965401
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34097851878449503
the lambda is 0.6452525418610354
the regulation term lambda/alpha is 1.8923554016282398
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30344789631401625
the lambda is 0.5401362165011776
the regulation term lambda/alpha is 1.7799965762235166
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33576686741232176
the lambda is 0.557709712013496
the regulation term lambda/alpha is 1.6610028151724343
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2650748415273748
the lambda is 0.48939510531731373
the regulation term lambda/alpha is 1.8462525620967802
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43409499172219146
the lambda is 0.47842817477126176
the regulation term lambda/alpha is 1.1021278381332773
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3864195718997281
the lambda is 0.5918137119869081
the regulation term lambda/alpha is 1.531531410475445
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38174543513078707
the lambda is 0.38417305062283125
the regulation term lambda/alpha is 1.0063592521838864
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3222220174813099
the lambda is 0.45284678284962354
the regulation term lambda/alpha is 1.4053874604515204
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33210644456144467
the lambda is 0.7067960911115894
the regulation term lambda/alpha is 2.128221546693959
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.32041503176224073
the lambda is 0.35775335019209675
the regulation term lambda/alpha is 1.1165311072470607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517760534318302
the lambda is 0.5281969145662314
the regulation term lambda/alpha is 1.5015146978121106
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39977092258994296
the lambda is 0.5459376176178562
the regulation term lambda/alpha is 1.3656261292866485
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2536320611294064
the lambda is 0.5365225477132184
the regulation term lambda/alpha is 2.1153577561295673
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3076192361491665
the lambda is 0.5161408908381587
the regulation term lambda/alpha is 1.6778563567717815
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28486286116691806
the lambda is 0.46360028825224237
the regulation term lambda/alpha is 1.627450789313639
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25475907878191517
the lambda is 0.42427240284282325
the regulation term lambda/alpha is 1.6653867837464542
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2796931092908961
the lambda is 0.4938318984058834
the regulation term lambda/alpha is 1.765620539089761
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2571165568137945
the lambda is 0.4081181737046249
the regulation term lambda/alpha is 1.5872885774531695
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26736593285904664
the lambda is 0.5205567603321423
the regulation term lambda/alpha is 1.946982380162008
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39611519881982177
the lambda is 0.4831346691036808
the regulation term lambda/alpha is 1.2196822301772898
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2784844702637098
the lambda is 0.3540921963957184
the regulation term lambda/alpha is 1.2714971002167987
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3390136772503113
the lambda is 0.5207473538174135
the regulation term lambda/alpha is 1.5360659134496184
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2960953039879735
the lambda is 0.36313109049739856
the regulation term lambda/alpha is 1.2263993572560943
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28074659949233305
the lambda is 0.4456475046575159
the regulation term lambda/alpha is 1.587365636710717
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36937820726943094
the lambda is 0.4727589089985795
the regulation term lambda/alpha is 1.2798776421959859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.360109780376323
the lambda is 0.5426659245543959
the regulation term lambda/alpha is 1.506945809656426
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39502056534186974
the lambda is 0.36592194416506296
the regulation term lambda/alpha is 0.9263364398468129
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41068720018003224
the lambda is 0.5320043548860076
the regulation term lambda/alpha is 1.295400379297903
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3574893614250327
the lambda is 0.4781418167965574
the regulation term lambda/alpha is 1.3374994290475581
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3845512298879131
the lambda is 0.36683687746437477
the regulation term lambda/alpha is 0.9539349999512376
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27451186879727635
the lambda is 0.4996535323920847
the regulation term lambda/alpha is 1.8201527481533877
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27656739890597226
the lambda is 0.48044552765414184
the regulation term lambda/alpha is 1.7371733962667246
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35873184448122397
the lambda is 0.6007781684778523
the regulation term lambda/alpha is 1.6747277324840253
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34762587672970413
the lambda is 0.5483994566953427
the regulation term lambda/alpha is 1.5775564864572775
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2579694498430453
the lambda is 0.44706711623300643
the regulation term lambda/alpha is 1.7330234898163817
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2995458100688873
the lambda is 0.4398594742191216
the regulation term lambda/alpha is 1.4684213880940815
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3811061213010966
the lambda is 0.47104831329917085
the regulation term lambda/alpha is 1.2360030106339188
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26624576486467694
the lambda is 0.43725921434278503
the regulation term lambda/alpha is 1.6423142526418326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3777670003548228
the lambda is 0.626635170409265
the regulation term lambda/alpha is 1.6587874796387438
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27068726609106164
the lambda is 0.46754229336045283
the regulation term lambda/alpha is 1.727241551152862
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22573171787184476
the lambda is 0.46240927684934896
the regulation term lambda/alpha is 2.048490487773959
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2826123496777839
the lambda is 0.6291172823417049
the regulation term lambda/alpha is 2.226078524377945
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37432104119290904
the lambda is 0.42008281836236255
the regulation term lambda/alpha is 1.1222527513377745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2850815972018702
the lambda is 0.5066799968564784
the regulation term lambda/alpha is 1.7773156942771415
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.29094054006222275
the lambda is 0.5463981650969127
the regulation term lambda/alpha is 1.8780406641853895
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.392013816337755
the lambda is 0.43827598942137863
the regulation term lambda/alpha is 1.118011588254238
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28205435376428106
the lambda is 0.5711746417609038
the regulation term lambda/alpha is 2.0250516758136867
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32687316406315764
the lambda is 0.5134491033010425
the regulation term lambda/alpha is 1.5707900181179608
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3451051078547273
the lambda is 0.43168343020567324
the regulation term lambda/alpha is 1.2508752272290078
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23753058303317306
the lambda is 0.5356904285600015
the regulation term lambda/alpha is 2.255248236751004
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3523045234563197
the lambda is 0.6011163063978345
the regulation term lambda/alpha is 1.7062406707144187
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3107653810380124
the lambda is 0.46553869023844396
the regulation term lambda/alpha is 1.498039095228242
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3423453219687392
the lambda is 0.6597251612343318
the regulation term lambda/alpha is 1.9270751457634163
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30649646551016135
the lambda is 0.40344228272825816
the regulation term lambda/alpha is 1.3163032143184135
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3153491126645124
the lambda is 0.5204199050483148
the regulation term lambda/alpha is 1.650297667404472
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28064535649061395
the lambda is 0.552622900026714
the regulation term lambda/alpha is 1.9691147109544147
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36313250822032944
the lambda is 0.4942831169010385
the regulation term lambda/alpha is 1.3611646044124859
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3823643957995252
the lambda is 0.4909453338459077
the regulation term lambda/alpha is 1.2839724075756045
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3220643084246212
the lambda is 0.45070878840954803
the regulation term lambda/alpha is 1.3994372447359715
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26828950616085
the lambda is 0.45698226687001403
the regulation term lambda/alpha is 1.7033177085802058
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4036000775614002
the lambda is 0.4618658140874654
the regulation term lambda/alpha is 1.1443650280696518
160
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4268874860665854
the lambda is 0.5228858042600072
the regulation term lambda/alpha is 1.2248796728101983
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3864884701187163
the lambda is 0.5241895042563904
the regulation term lambda/alpha is 1.356287560390552
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2397699819033644
the lambda is 0.45316363860973
the regulation term lambda/alpha is 1.8899932135473516
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39820182088681266
the lambda is 0.46274147445494934
the regulation term lambda/alpha is 1.1620777459641045
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3106213155725922
the lambda is 0.5180885822603504
the regulation term lambda/alpha is 1.667910591729089
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32806176874280074
the lambda is 0.410900629956159
the regulation term lambda/alpha is 1.2525099511924647
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33059104542121054
the lambda is 0.41590570688691786
the regulation term lambda/alpha is 1.2580670669921103
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29973036585003343
the lambda is 0.4105054792066713
the regulation term lambda/alpha is 1.369582551445798
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3220725043247412
the lambda is 0.43380789853260676
the regulation term lambda/alpha is 1.346926212910135
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2579312463636786
the lambda is 0.5154938384968092
the regulation term lambda/alpha is 1.9985707267508481
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3033865797903476
the lambda is 0.5700354036510502
the regulation term lambda/alpha is 1.8789077751724144
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3986256896038233
the lambda is 0.5762687252545404
the regulation term lambda/alpha is 1.4456387038860161
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25433882703421234
the lambda is 0.41079514570814624
the regulation term lambda/alpha is 1.615149171278077
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3475437321183946
the lambda is 0.4652087921893008
the regulation term lambda/alpha is 1.3385618821369571
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30993862458450655
the lambda is 0.500215761045501
the regulation term lambda/alpha is 1.6139187612259482
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25288617879454295
the lambda is 0.4973628154612986
the regulation term lambda/alpha is 1.9667457424210613
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29855036476800983
the lambda is 0.5303970021789542
the regulation term lambda/alpha is 1.7765746244895801
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40466115142981907
the lambda is 0.478081012041013
the regulation term lambda/alpha is 1.1814354067638422
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30966397350583463
the lambda is 0.47328691397839323
the regulation term lambda/alpha is 1.5283886873248935
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.42010910054867917
the lambda is 0.5004420242393911
the regulation term lambda/alpha is 1.1912191942183445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.350367921313131
the lambda is 0.5420392517046979
the regulation term lambda/alpha is 1.5470573038570683
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32519494164084073
the lambda is 0.4466485583142902
the regulation term lambda/alpha is 1.373479415333551
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30606748860525695
the lambda is 0.5480302497515638
the regulation term lambda/alpha is 1.7905536202127381
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3044428424344033
the lambda is 0.5288764079010391
the regulation term lambda/alpha is 1.7371944226772003
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2454693253621058
the lambda is 0.4164779986441654
the regulation term lambda/alpha is 1.6966600532665128
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28317729184369617
the lambda is 0.521235786061884
the regulation term lambda/alpha is 1.8406694359856641
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2738707362635346
the lambda is 0.5689384182954729
the regulation term lambda/alpha is 2.07739762947147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3444810882253459
the lambda is 0.46732047785223824
the regulation term lambda/alpha is 1.3565925498543934
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.323646989490952
the lambda is 0.5045326810604753
the regulation term lambda/alpha is 1.558898112582568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4289859963844338
the lambda is 0.6633762230831285
the regulation term lambda/alpha is 1.5463820000516917
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3428416283733348
the lambda is 0.44408943142522644
the regulation term lambda/alpha is 1.295319455610678
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.261628298797117
the lambda is 0.5635002439491801
the regulation term lambda/alpha is 2.153819929036627
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2955466170690364
the lambda is 0.6346513421436386
the regulation term lambda/alpha is 2.147381514420756
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29611135860018173
the lambda is 0.5214329321277472
the regulation term lambda/alpha is 1.7609352596021193
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38250526961732567
the lambda is 0.5167195663561607
the regulation term lambda/alpha is 1.350882216271448
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23052354192291086
the lambda is 0.4796922942571819
the regulation term lambda/alpha is 2.08088202296317
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23853981700245774
the lambda is 0.4098388399385111
the regulation term lambda/alpha is 1.7181150094295932
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2439378797998694
the lambda is 0.45330203802168473
the regulation term lambda/alpha is 1.8582683361582921
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34012107172028533
the lambda is 0.39773528868449903
the regulation term lambda/alpha is 1.169393259502591
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28006326547090266
the lambda is 0.4402021465914156
the regulation term lambda/alpha is 1.571795379344924
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39697614707229356
the lambda is 0.4428357854376476
the regulation term lambda/alpha is 1.1155224028032156
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30224851108632966
the lambda is 0.5315561700396285
the regulation term lambda/alpha is 1.7586725841233437
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3543748335865815
the lambda is 0.5359567592810054
the regulation term lambda/alpha is 1.512400736408556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34633839478122286
the lambda is 0.462408500883481
the regulation term lambda/alpha is 1.3351349658347236
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30357948453667694
the lambda is 0.5079426288070544
the regulation term lambda/alpha is 1.6731783756147969
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2551605763610676
the lambda is 0.45192302497318015
the regulation term lambda/alpha is 1.771131855156503
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29039149330763564
the lambda is 0.43417060289751547
the regulation term lambda/alpha is 1.4951216302936352
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.39024677489874093
the lambda is 0.4459028873383317
the regulation term lambda/alpha is 1.1426177383631988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4717804793932936
the lambda is 0.43691784698950176
the regulation term lambda/alpha is 0.9261041227296539
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26997629346209207
the lambda is 0.46376936633215227
the regulation term lambda/alpha is 1.7178151473409686
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2318778767954858
the lambda is 0.48850564919599937
the regulation term lambda/alpha is 2.1067367700061226
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40204790228294957
the lambda is 0.540345600408414
the regulation term lambda/alpha is 1.3439831356914642
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3180575774577521
the lambda is 0.4892764941303304
the regulation term lambda/alpha is 1.5383267961767755
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42426761027439414
the lambda is 0.6080423082946461
the regulation term lambda/alpha is 1.4331575014679911
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25608961614183723
the lambda is 0.4822875097312282
the regulation term lambda/alpha is 1.883276319427608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.5096763381896922
the lambda is 0.5133479848327329
the regulation term lambda/alpha is 1.0072038789481224
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2595697177773549
the lambda is 0.4561502311961762
the regulation term lambda/alpha is 1.7573322308245434
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41392446031624586
the lambda is 0.5611495028111904
the regulation term lambda/alpha is 1.355680943287241
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35881172233899516
the lambda is 0.5396993874155723
the regulation term lambda/alpha is 1.504129753335315
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2692232945955046
the lambda is 0.5094831388740937
the regulation term lambda/alpha is 1.8924184834732383
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2704243227241407
the lambda is 0.42879884591516193
the regulation term lambda/alpha is 1.5856519176811577
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27644351537218587
the lambda is 0.4275330115458662
the regulation term lambda/alpha is 1.5465474419621061
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.45152124313527037
the lambda is 0.4560189062111269
the regulation term lambda/alpha is 1.0099611328242846
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.46415777695833677
the lambda is 0.5602658542183365
the regulation term lambda/alpha is 1.207059069202295
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26237154388465783
the lambda is 0.4493166531507337
the regulation term lambda/alpha is 1.7125205214642467
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36403499709788945
the lambda is 0.45431496852922437
the regulation term lambda/alpha is 1.2479980555470016
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24202396717804428
the lambda is 0.3992258772324509
the regulation term lambda/alpha is 1.6495303415085394
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3890046509469229
the lambda is 0.41643010606067526
the regulation term lambda/alpha is 1.0705016123765945
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27689316561666866
the lambda is 0.4094725402088056
the regulation term lambda/alpha is 1.478810570484358
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3514157041402888
the lambda is 0.6051836122237526
the regulation term lambda/alpha is 1.7221302437359403
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2642613286573575
the lambda is 0.5660244570362094
the regulation term lambda/alpha is 2.141911795842514
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30755853235439073
the lambda is 0.47330448842564277
the regulation term lambda/alpha is 1.5389086584672207
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2983133860356566
the lambda is 0.5776944868727133
the regulation term lambda/alpha is 1.9365355827635002
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.396110724731285
the lambda is 0.3679929419128751
the regulation term lambda/alpha is 0.9290153458039175
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22221858913926873
the lambda is 0.4194107647348322
the regulation term lambda/alpha is 1.8873792978317365
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3614397459195567
the lambda is 0.4610061940638353
the regulation term lambda/alpha is 1.2754717743920683
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34410220718053397
the lambda is 0.5674554912195517
the regulation term lambda/alpha is 1.6490899487948794
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2871825990523092
the lambda is 0.4953019852138928
the regulation term lambda/alpha is 1.7246935811862176
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3970654339831679
the lambda is 0.541276489371515
the regulation term lambda/alpha is 1.363192166947628
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.276934028523159
the lambda is 0.5128336318836043
the regulation term lambda/alpha is 1.85182599126029
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.49789702414692166
the lambda is 0.7076754549575387
the regulation term lambda/alpha is 1.4213289508408764
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2938245151998556
the lambda is 0.4015827194511268
the regulation term lambda/alpha is 1.3667434086566108
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33737091382254325
the lambda is 0.5421175073363834
the regulation term lambda/alpha is 1.6068886946831957
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39180355620489843
the lambda is 0.573821595387512
the regulation term lambda/alpha is 1.4645645408267427
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2628142019700491
the lambda is 0.4918069884692669
the regulation term lambda/alpha is 1.8713105486031318
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.36861092092062264
the lambda is 0.5106842680352974
the regulation term lambda/alpha is 1.3854290229921569
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28991718310294556
the lambda is 0.4733963044258561
the regulation term lambda/alpha is 1.6328673566677132
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31732645078270344
the lambda is 0.5629875579284276
the regulation term lambda/alpha is 1.7741589348753855
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.48874561221645313
the lambda is 0.4922986483238064
the regulation term lambda/alpha is 1.0072697043585523
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4376168858505068
the lambda is 0.5559780045586127
the regulation term lambda/alpha is 1.2704674397517168
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2825653712306212
the lambda is 0.4624359493117577
the regulation term lambda/alpha is 1.6365627086495735
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4016207905407879
the lambda is 0.6152878290084518
the regulation term lambda/alpha is 1.5320118965453913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2870671433549109
the lambda is 0.5608668281819634
the regulation term lambda/alpha is 1.9537827339875837
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3647670276016535
the lambda is 0.5734265538067271
the regulation term lambda/alpha is 1.5720350536533192
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37542915593153287
the lambda is 0.46599507750045976
the regulation term lambda/alpha is 1.2412330532619673
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32226182699240163
the lambda is 0.47948546763322225
the regulation term lambda/alpha is 1.4878754710359403
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4070999572523358
the lambda is 0.49897824872037355
the regulation term lambda/alpha is 1.2256897595572287
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30592548755271814
the lambda is 0.5263509747406523
the regulation term lambda/alpha is 1.7205201794438578
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35530576361714145
the lambda is 0.5400458436442744
the regulation term lambda/alpha is 1.519946758381885
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44866794039405195
the lambda is 0.4836153992292561
the regulation term lambda/alpha is 1.077891589054727
170
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32005354213353815
the lambda is 0.5300316254079493
the regulation term lambda/alpha is 1.6560717368558309
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38811409633431304
the lambda is 0.7459956300324946
the regulation term lambda/alpha is 1.9221039304635568
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2736602622713608
the lambda is 0.45387362583660557
the regulation term lambda/alpha is 1.6585295288014656
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26827660176991036
the lambda is 0.5013413331736539
the regulation term lambda/alpha is 1.8687478888063203
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.224571823208612
the lambda is 0.500679715307268
the regulation term lambda/alpha is 2.2294859085779897
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2850155482172458
the lambda is 0.5169878884435308
the regulation term lambda/alpha is 1.8138936337938663
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3227430175821681
the lambda is 0.5159501697210834
the regulation term lambda/alpha is 1.5986408430655703
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28538952787800703
the lambda is 0.44959379288458934
the regulation term lambda/alpha is 1.575368922004641
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3020735524090625
the lambda is 0.5279559325326865
the regulation term lambda/alpha is 1.747772780245714
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38926086817346794
the lambda is 0.5907941007832688
the regulation term lambda/alpha is 1.5177330913211413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3207413157732445
the lambda is 0.40063330997776236
the regulation term lambda/alpha is 1.249085447604135
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2634337549381686
the lambda is 0.45360324366805094
the regulation term lambda/alpha is 1.7218873252386264
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26978457144071105
the lambda is 0.5976081204688284
the regulation term lambda/alpha is 2.2151308255971234
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38090634578053234
the lambda is 0.5336062579746459
the regulation term lambda/alpha is 1.4008857134716652
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27078170771851545
the lambda is 0.5136288470665162
the regulation term lambda/alpha is 1.8968373136949364
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2433211662175491
the lambda is 0.3834463008434603
the regulation term lambda/alpha is 1.5758855129792855
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37877500846899453
the lambda is 0.5518876901322443
the regulation term lambda/alpha is 1.4570330084948575
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32439067244960745
the lambda is 0.4402312553180027
the regulation term lambda/alpha is 1.3571020769297568
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.348758755624624
the lambda is 0.4439884421765845
the regulation term lambda/alpha is 1.2730531779235332
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24121196391962346
the lambda is 0.4377556093365858
the regulation term lambda/alpha is 1.8148171517829628
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.292114674963778
the lambda is 0.4481064118955443
the regulation term lambda/alpha is 1.534008559998258
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3187583335779339
the lambda is 0.452577419457345
the regulation term lambda/alpha is 1.419813607309794
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4818837314844585
the lambda is 0.503439455451857
the regulation term lambda/alpha is 1.0447322093671754
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3034600254417021
the lambda is 0.47899043136572544
the regulation term lambda/alpha is 1.578430077136287
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3208600802526189
the lambda is 0.4987400194352326
the regulation term lambda/alpha is 1.5543847618643167
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31907414561166714
the lambda is 0.5221222993347254
the regulation term lambda/alpha is 1.6363666768857554
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3377727673335912
the lambda is 0.5044963716076921
the regulation term lambda/alpha is 1.4935969397125535
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.316261583662875
the lambda is 0.5141413271330225
the regulation term lambda/alpha is 1.6256837810597988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31555116499528113
the lambda is 0.5660805515241615
the regulation term lambda/alpha is 1.7939422012041275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30896286034353576
the lambda is 0.4873857460455754
the regulation term lambda/alpha is 1.5774897523399778
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30775840959511486
the lambda is 0.41718386357195647
the regulation term lambda/alpha is 1.355556340835011
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3099704737058664
the lambda is 0.40605466803402396
the regulation term lambda/alpha is 1.3099785382117803
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3187269674386104
the lambda is 0.5948708616405444
the regulation term lambda/alpha is 1.8663963906823218
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30021035039077104
the lambda is 0.5283940221975342
the regulation term lambda/alpha is 1.760079296099372
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33052942743014824
the lambda is 0.5242547376247555
the regulation term lambda/alpha is 1.586106089557027
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3754928779280583
the lambda is 0.6092930880655384
the regulation term lambda/alpha is 1.6226488540277308
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38241736217369854
the lambda is 0.5169505482721969
the regulation term lambda/alpha is 1.3517967524638481
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2884864578343802
the lambda is 0.43772805986115276
the regulation term lambda/alpha is 1.5173261966856413
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2535745679254433
the lambda is 0.47122520414431235
the regulation term lambda/alpha is 1.8583299106039028
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2746762739286885
the lambda is 0.43215779757440814
the regulation term lambda/alpha is 1.5733350077648318
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3014916392716744
the lambda is 0.42367715669412404
the regulation term lambda/alpha is 1.4052700025699492
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26912492511820835
the lambda is 0.5352840859450283
the regulation term lambda/alpha is 1.9889799716986982
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30365842281307837
the lambda is 0.3702443985684881
the regulation term lambda/alpha is 1.219279199103256
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22831581197064246
the lambda is 0.46544408121807285
the regulation term lambda/alpha is 2.038597665228377
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2734906966342113
the lambda is 0.3973572513510942
the regulation term lambda/alpha is 1.4529095733101007
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29983471391163563
the lambda is 0.49208391010257385
the regulation term lambda/alpha is 1.6411839165747701
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35735004662263264
the lambda is 0.5545577405163689
the regulation term lambda/alpha is 1.5518613912536876
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2844483041518055
the lambda is 0.3952414422435082
the regulation term lambda/alpha is 1.3895018408426658
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.314041472286976
the lambda is 0.4536126496026039
the regulation term lambda/alpha is 1.4444354954115284
using Bay_non_info_prior option for model regressor
Convergence after  7  iterations
the alpha is 0.2840711185400809
the lambda is 0.3848757661628624
the regulation term lambda/alpha is 1.3548570799483037
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30046554052660684
the lambda is 0.49904751399270847
the regulation term lambda/alpha is 1.660914303577241
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3689696845386
the lambda is 0.5227110527561848
the regulation term lambda/alpha is 1.4166775067437851
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3751528037934792
the lambda is 0.5351403479140592
the regulation term lambda/alpha is 1.426459678570476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35652071839276084
the lambda is 0.5370761938976121
the regulation term lambda/alpha is 1.506437539783992
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2810775532631204
the lambda is 0.4586601683238978
the regulation term lambda/alpha is 1.6317922331369519
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39777425316667175
the lambda is 0.4812080326021609
the regulation term lambda/alpha is 1.2097515833950405
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3399330331219993
the lambda is 0.5245891586600725
the regulation term lambda/alpha is 1.543213243626728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3149954973669605
the lambda is 0.388693650433691
the regulation term lambda/alpha is 1.2339657350113622
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4153045778215746
the lambda is 0.47776848095718744
the regulation term lambda/alpha is 1.1504050436025988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33842376384276684
the lambda is 0.5344024108827611
the regulation term lambda/alpha is 1.57909245147172
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3043394905374593
the lambda is 0.4597176593317013
the regulation term lambda/alpha is 1.510542251746056
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3043773857631531
the lambda is 0.4737050862882479
the regulation term lambda/alpha is 1.5563084133223182
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3082024304170187
the lambda is 0.45169167280394046
the regulation term lambda/alpha is 1.4655681728167136
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38983323815143933
the lambda is 0.5398544109953131
the regulation term lambda/alpha is 1.3848342269511527
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3670291675689221
the lambda is 0.4793176327551645
the regulation term lambda/alpha is 1.3059388057085584
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35137215449937975
the lambda is 0.49613291032416873
the regulation term lambda/alpha is 1.4119869886418235
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3183286192700085
the lambda is 0.6109230215012614
the regulation term lambda/alpha is 1.9191583304769477
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34287761000640893
the lambda is 0.5217559908176863
the regulation term lambda/alpha is 1.5216974675247352
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3695891260295487
the lambda is 0.5238667093742424
the regulation term lambda/alpha is 1.4174299850271006
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33808545045229804
the lambda is 0.5925600572091311
the regulation term lambda/alpha is 1.7526931620878432
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24925650637521687
the lambda is 0.5512709037044923
the regulation term lambda/alpha is 2.211661038346737
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23281630531356998
the lambda is 0.4656627096995504
the regulation term lambda/alpha is 2.000129282493208
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31098268009313534
the lambda is 0.46687020002482926
the regulation term lambda/alpha is 1.5012739612540724
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37936863200217724
the lambda is 0.46488005174551583
the regulation term lambda/alpha is 1.2254045604457036
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4987018973578014
the lambda is 0.5314183092842527
the regulation term lambda/alpha is 1.065603143079639
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3163574051507092
the lambda is 0.665206104810363
the regulation term lambda/alpha is 2.1027043906036154
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2702141384048658
the lambda is 0.4839644017749392
the regulation term lambda/alpha is 1.7910402639620886
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32456474898590004
the lambda is 0.5303633472322039
the regulation term lambda/alpha is 1.6340756317169993
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5086466668548585
the lambda is 0.6204658605807387
the regulation term lambda/alpha is 1.219836678410374
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3384272798869632
the lambda is 0.5396318020714762
the regulation term lambda/alpha is 1.5945280837044713
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909795605776616
the lambda is 0.5106679921598627
the regulation term lambda/alpha is 1.7549960936983644
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3148348600318628
the lambda is 0.6095900897851481
the regulation term lambda/alpha is 1.9362217059554798
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3393345342054382
the lambda is 0.44556065937838235
the regulation term lambda/alpha is 1.313042483051941
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32347991072701615
the lambda is 0.43994542858793523
the regulation term lambda/alpha is 1.3600394151190551
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35667740974655204
the lambda is 0.6200880344572571
the regulation term lambda/alpha is 1.7385122172382028
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33159382037400387
the lambda is 0.49268708726423904
the regulation term lambda/alpha is 1.4858150453724936
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2726614421943053
the lambda is 0.531615338148307
the regulation term lambda/alpha is 1.949726862258231
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3127122748956179
the lambda is 0.5033189620533963
the regulation term lambda/alpha is 1.6095273593638182
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3508739391877753
the lambda is 0.5111597703334584
the regulation term lambda/alpha is 1.456818854990264
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3132148337037517
the lambda is 0.4886936330868997
the regulation term lambda/alpha is 1.5602506027831406
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3230420447113311
the lambda is 0.5491081154467017
the regulation term lambda/alpha is 1.6998038627986714
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5132929333521693
the lambda is 0.5580568153059644
the regulation term lambda/alpha is 1.08720923091899
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2938626704550797
the lambda is 0.5326153129366351
the regulation term lambda/alpha is 1.8124633255112663
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2726846197506347
the lambda is 0.4453765480012667
the regulation term lambda/alpha is 1.6333027818310977
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2782440994421791
the lambda is 0.4455871795170768
the regulation term lambda/alpha is 1.6014254405048856
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2940196298500248
the lambda is 0.500813173250781
the regulation term lambda/alpha is 1.7033324390831954
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30581819869416793
the lambda is 0.487875163074301
the regulation term lambda/alpha is 1.5953110872979743
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3024563616967038
the lambda is 0.46575792353071693
the regulation term lambda/alpha is 1.5399177617489432
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3182724299255051
the lambda is 0.4624602802610702
the regulation term lambda/alpha is 1.4530328007654127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4170444796470027
the lambda is 0.462276848952867
the regulation term lambda/alpha is 1.1084593407018604
180
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3106260126611529
the lambda is 0.46488082821811544
the regulation term lambda/alpha is 1.496593360728072
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29242094649050077
the lambda is 0.40482812712542043
the regulation term lambda/alpha is 1.3844019451546752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36123875494926394
the lambda is 0.507958620785809
the regulation term lambda/alpha is 1.4061576002750644
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3116281031176591
the lambda is 0.46555355986811026
the regulation term lambda/alpha is 1.4939395876383288
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32591322526378946
the lambda is 0.5451994202684258
the regulation term lambda/alpha is 1.6728361355300918
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4782033032718451
the lambda is 0.5457193617167317
the regulation term lambda/alpha is 1.1411869344752428
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30120847230236164
the lambda is 0.4158028703666815
the regulation term lambda/alpha is 1.3804487874739684
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2806288702665352
the lambda is 0.4333454708069348
the regulation term lambda/alpha is 1.5441941892698092
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35047689964581125
the lambda is 0.48883373061855995
the regulation term lambda/alpha is 1.3947673330612398
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2510171887793084
the lambda is 0.4015991737406527
the regulation term lambda/alpha is 1.5998871459505282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28417200680413063
the lambda is 0.43965935268406986
the regulation term lambda/alpha is 1.5471592632525235
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28070880091245065
the lambda is 0.41784482288146935
the regulation term lambda/alpha is 1.4885348144527524
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29328092328025096
the lambda is 0.40542718688245327
the regulation term lambda/alpha is 1.3823851287287394
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24614262361749834
the lambda is 0.5125310088758143
the regulation term lambda/alpha is 2.082252156669457
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3016574529485122
the lambda is 0.4481460712994965
the regulation term lambda/alpha is 1.485612461814386
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.294683031030667
the lambda is 0.48543949370647443
the regulation term lambda/alpha is 1.6473276116667737
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31665600631521573
the lambda is 0.4895751668555591
the regulation term lambda/alpha is 1.5460788903154759
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36102010756532
the lambda is 0.510974154149039
the regulation term lambda/alpha is 1.4153620350816265
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3721761419301304
the lambda is 0.5599728667168227
the regulation term lambda/alpha is 1.5045909816055536
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32508000764951095
the lambda is 0.4476773526785702
the regulation term lambda/alpha is 1.3771297592721823
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27037661770665744
the lambda is 0.4649780103630925
the regulation term lambda/alpha is 1.7197419447992577
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4400857566817937
the lambda is 0.41875737595502505
the regulation term lambda/alpha is 0.9515358531764747
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3922144575780125
the lambda is 0.5193967391661498
the regulation term lambda/alpha is 1.3242671939568684
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26288467075781685
the lambda is 0.4645858505505206
the regulation term lambda/alpha is 1.7672610929015387
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3731912801024881
the lambda is 0.5274803025259214
the regulation term lambda/alpha is 1.4134314777694204
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2979037932059774
the lambda is 0.4803243922944824
the regulation term lambda/alpha is 1.6123473525641727
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3973365631081499
the lambda is 0.6327607048271768
the regulation term lambda/alpha is 1.5925056075318884
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35095144073570034
the lambda is 0.4418591781503403
the regulation term lambda/alpha is 1.2590322388307336
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3913174866583141
the lambda is 0.4872589707419076
the regulation term lambda/alpha is 1.2451755603944337
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2451703559886322
the lambda is 0.4366929488198332
the regulation term lambda/alpha is 1.781181689192805
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3790766986123288
the lambda is 0.5393255475609816
the regulation term lambda/alpha is 1.4227346326885022
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3618794394291768
the lambda is 0.5735423251179269
the regulation term lambda/alpha is 1.5848988989886357
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3151505335580749
the lambda is 0.42811098890999566
the regulation term lambda/alpha is 1.3584333304995178
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25628325374529354
the lambda is 0.5147919216966914
the regulation term lambda/alpha is 2.0086834163901948
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3284874437630514
the lambda is 0.4154595733614664
the regulation term lambda/alpha is 1.2647654613585497
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.263692745271661
the lambda is 0.3161498892722027
the regulation term lambda/alpha is 1.1989328297466033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33440673930947107
the lambda is 0.5964424658185441
the regulation term lambda/alpha is 1.7835838687048005
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32790776301659935
the lambda is 0.4611051875977928
the regulation term lambda/alpha is 1.4062039378264146
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3583430831861198
the lambda is 0.5098525492956256
the regulation term lambda/alpha is 1.4228056106522178
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31874825386564265
the lambda is 0.5069322579730325
the regulation term lambda/alpha is 1.5903844235228732
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37906752383429726
the lambda is 0.5349441883202659
the regulation term lambda/alpha is 1.4112108125467044
using Bay_non_info_prior option for model regressor
Convergence after  8  iterations
the alpha is 0.42705284667758986
the lambda is 0.3786865467272137
the regulation term lambda/alpha is 0.8867439935674025
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3268789484371257
the lambda is 0.5797382396837203
the regulation term lambda/alpha is 1.7735563653014852
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30117291204684277
the lambda is 0.45766241846719036
the regulation term lambda/alpha is 1.5196002036066514
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.18141570216661126
the lambda is 0.5317269956443084
the regulation term lambda/alpha is 2.9309866196475816
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25933564719081537
the lambda is 0.5295232297317883
the regulation term lambda/alpha is 2.0418451357062106
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3195338144730242
the lambda is 0.4779803710004573
the regulation term lambda/alpha is 1.4958678842448756
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.28200355389440956
the lambda is 0.3784539430906441
the regulation term lambda/alpha is 1.3420183464508693
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35517439576236953
the lambda is 0.5555561367417586
the regulation term lambda/alpha is 1.5641784525297118
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2416133569754571
the lambda is 0.407925452945301
the regulation term lambda/alpha is 1.6883398254622892
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138188251397266
the lambda is 0.4920836986292687
the regulation term lambda/alpha is 1.5680502863719867
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2768246005527447
the lambda is 0.4895019599291479
the regulation term lambda/alpha is 1.7682747810409312
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29417451560555663
the lambda is 0.4064539228153326
the regulation term lambda/alpha is 1.3816761862551195
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.48019981681221385
the lambda is 0.4072676855945217
the regulation term lambda/alpha is 0.8481212847979639
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38283026347923405
the lambda is 0.5143600155400595
the regulation term lambda/alpha is 1.3435719811319464
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3409674420476563
the lambda is 0.6443656690983228
the regulation term lambda/alpha is 1.8898158288328926
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3605932479509105
the lambda is 0.5090089702027205
the regulation term lambda/alpha is 1.4115876353625307
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2571776276244671
the lambda is 0.5670656303754927
the regulation term lambda/alpha is 2.20495707816205
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2786197842865759
the lambda is 0.6173700550037002
the regulation term lambda/alpha is 2.215815565949548
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30401827739774007
the lambda is 0.4977727817467456
the regulation term lambda/alpha is 1.6373120261303271
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28812574443227196
the lambda is 0.5515568061568871
the regulation term lambda/alpha is 1.9142919951276285
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27725175463826235
the lambda is 0.46282865409450324
the regulation term lambda/alpha is 1.6693443642885795
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26539001865335543
the lambda is 0.4309440968477572
the regulation term lambda/alpha is 1.623814260364643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31879721792547105
the lambda is 0.47595352446305844
the regulation term lambda/alpha is 1.4929663676498195
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3895740961172548
the lambda is 0.5089181271924834
the regulation term lambda/alpha is 1.3063448834629605
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2898215447924069
the lambda is 0.40955278668816136
the regulation term lambda/alpha is 1.413120570389325
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2869906588321591
the lambda is 0.46746078311683636
the regulation term lambda/alpha is 1.6288362311827778
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3763115075660902
the lambda is 0.508548664467369
the regulation term lambda/alpha is 1.3514034363619731
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2968264039592376
the lambda is 0.5189181533898829
the regulation term lambda/alpha is 1.748221002135459
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3392439911369914
the lambda is 0.641719099292022
the regulation term lambda/alpha is 1.8916152269676811
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37513141881836426
the lambda is 0.6820510670685634
the regulation term lambda/alpha is 1.8181656690259989
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36374870180279834
the lambda is 0.5060039232094677
the regulation term lambda/alpha is 1.391081042218513
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2849753199760413
the lambda is 0.5339722234558106
the regulation term lambda/alpha is 1.8737490092149145
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3480161266030607
the lambda is 0.5668877002980496
the regulation term lambda/alpha is 1.6289121594202123
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38767342042545355
the lambda is 0.4678154771359414
the regulation term lambda/alpha is 1.2067256935555077
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44242591064554865
the lambda is 0.5802892376723888
the regulation term lambda/alpha is 1.3116077148955454
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28386892050284335
the lambda is 0.5289207410973666
the regulation term lambda/alpha is 1.8632569573324205
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5567967617551152
the lambda is 0.4805597519206775
the regulation term lambda/alpha is 0.863079286606973
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2640354873747318
the lambda is 0.43212161242655095
the regulation term lambda/alpha is 1.6366042940783307
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4281156097425238
the lambda is 0.4951784701065838
the regulation term lambda/alpha is 1.1566466132930606
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2562171668510015
the lambda is 0.4707769199062081
the regulation term lambda/alpha is 1.837413650662916
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38869927516128727
the lambda is 0.4637657520677757
the regulation term lambda/alpha is 1.1931222456623833
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3763650703182458
the lambda is 0.5085378018165567
the regulation term lambda/alpha is 1.3511822480937157
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.368073315292317
the lambda is 0.5244879603656161
the regulation term lambda/alpha is 1.4249551341397229
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3488662845245824
the lambda is 0.4884878843378114
the regulation term lambda/alpha is 1.400215228603986
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24187053183106813
the lambda is 0.4636286062838468
the regulation term lambda/alpha is 1.916846185328865
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2545580460743585
the lambda is 0.48011242197733267
the regulation term lambda/alpha is 1.8860626461482497
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3287032968153173
the lambda is 0.4790037192768118
the regulation term lambda/alpha is 1.4572525554738842
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34350428503438996
the lambda is 0.5489410960253639
the regulation term lambda/alpha is 1.5980618581523856
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.21324723155008152
the lambda is 0.411331418195559
the regulation term lambda/alpha is 1.9288945286914876
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.321001411552375
the lambda is 0.4889941618379406
the regulation term lambda/alpha is 1.5233395998888175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3580878109132467
the lambda is 0.4852172007578298
the regulation term lambda/alpha is 1.3550229468027957
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3259919808429901
the lambda is 0.5000292902895691
the regulation term lambda/alpha is 1.5338699099178206
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28017785131447726
the lambda is 0.5198922332603534
the regulation term lambda/alpha is 1.855579342982454
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2860390765183559
the lambda is 0.46357383847261496
the regulation term lambda/alpha is 1.6206661135785976
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27779131031247123
the lambda is 0.5338371998144459
the regulation term lambda/alpha is 1.9217202986442001
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28772986764264563
the lambda is 0.5003610984795295
the regulation term lambda/alpha is 1.7389960332549392
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36801431788947525
the lambda is 0.532936695655295
the regulation term lambda/alpha is 1.4481411992653788
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2912482672792611
the lambda is 0.476260264807334
the regulation term lambda/alpha is 1.6352381054706004
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22278346795863693
the lambda is 0.4649477494282166
the regulation term lambda/alpha is 2.086993948377449
190
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29135953959799127
the lambda is 0.4292837957956995
the regulation term lambda/alpha is 1.4733816383290959
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3393939212306558
the lambda is 0.4818894592362832
the regulation term lambda/alpha is 1.41985294695006
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28583555359853735
the lambda is 0.5549420905118688
the regulation term lambda/alpha is 1.941473282540974
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5248646942803026
the lambda is 0.574567512056041
the regulation term lambda/alpha is 1.0946964395155043
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26489524531572184
the lambda is 0.4972657320863785
the regulation term lambda/alpha is 1.877216525701321
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33225899367160494
the lambda is 0.4612109908710322
the regulation term lambda/alpha is 1.3881068674001933
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33309685551082163
the lambda is 0.463802960083182
the regulation term lambda/alpha is 1.3923966930636906
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29716016045590843
the lambda is 0.5218766316021637
the regulation term lambda/alpha is 1.75621331877561
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2968141769679494
the lambda is 0.42274381177869974
the regulation term lambda/alpha is 1.4242709566542993
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31450985193919556
the lambda is 0.39858962037246853
the regulation term lambda/alpha is 1.267335881260496
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22948282206377119
the lambda is 0.47996858345070886
the regulation term lambda/alpha is 2.091522925917871
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3618191372749174
the lambda is 0.5128029303930434
the regulation term lambda/alpha is 1.4172907885837047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3407690211948627
the lambda is 0.5746832045544802
the regulation term lambda/alpha is 1.6864303056053263
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2919811850639148
the lambda is 0.4415007052193937
the regulation term lambda/alpha is 1.5120861473411344
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3160189962855468
the lambda is 0.5190575505397356
the regulation term lambda/alpha is 1.6424884473423498
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38544980710894816
the lambda is 0.5767777196517746
the regulation term lambda/alpha is 1.4963756863127635
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36649774719566647
the lambda is 0.39332729356586343
the regulation term lambda/alpha is 1.0732052149719578
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24197623009422373
the lambda is 0.4961178563272784
the regulation term lambda/alpha is 2.050275170144166
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3611926186532327
the lambda is 0.4833195128157736
the regulation term lambda/alpha is 1.3381212346418139
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2870339723752126
the lambda is 0.45840649478035866
the regulation term lambda/alpha is 1.5970461300696728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.344600223585975
the lambda is 0.5258637350013131
the regulation term lambda/alpha is 1.5260110093054375
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3990536786746558
the lambda is 0.4944156785794477
the regulation term lambda/alpha is 1.2389703566234744
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28032841041620693
the lambda is 0.520073444257128
the regulation term lambda/alpha is 1.8552291702612973
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28968793457347974
the lambda is 0.6068825796282848
the regulation term lambda/alpha is 2.0949529034470307
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26345420600050357
the lambda is 0.532221853925021
the regulation term lambda/alpha is 2.0201683700734074
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34199378918412454
the lambda is 0.4798309974707486
the regulation term lambda/alpha is 1.4030400920889663
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4652099178685891
the lambda is 0.5579987248727525
the regulation term lambda/alpha is 1.1994557799397003
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2505359513869233
the lambda is 0.46557627351640357
the regulation term lambda/alpha is 1.858321214736067
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.20908936858724403
the lambda is 0.503587788032681
the regulation term lambda/alpha is 2.408481078857701
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32082802906536256
the lambda is 0.573391856797483
the regulation term lambda/alpha is 1.7872249456130447
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22353460368975192
the lambda is 0.405487177068545
the regulation term lambda/alpha is 1.8139794482617493
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34651874262613974
the lambda is 0.36881760570448013
the regulation term lambda/alpha is 1.0643511023656194
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31138068570466426
the lambda is 0.45360748197905165
the regulation term lambda/alpha is 1.4567617800459385
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30465050440391256
the lambda is 0.4969954507483491
the regulation term lambda/alpha is 1.6313626387088507
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3560999770029503
the lambda is 0.5519071349032632
the regulation term lambda/alpha is 1.549865685328844
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3117836825688566
the lambda is 0.47490049700552617
the regulation term lambda/alpha is 1.5231730316760426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26327435695704604
the lambda is 0.4185204530554255
the regulation term lambda/alpha is 1.5896742010605625
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28707213332203835
the lambda is 0.4718093757986651
the regulation term lambda/alpha is 1.643522031688767
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5030166343930769
the lambda is 0.5433367768548212
the regulation term lambda/alpha is 1.0801566781392693
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3675810146680668
the lambda is 0.5052657329265192
the regulation term lambda/alpha is 1.3745697214062715
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3577894881791969
the lambda is 0.5143322590277789
the regulation term lambda/alpha is 1.4375275854112808
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32930221965692136
the lambda is 0.48491762830296026
the regulation term lambda/alpha is 1.4725610680916894
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3480437137251699
the lambda is 0.5387017170236074
the regulation term lambda/alpha is 1.5477990142611486
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24002467029603947
the lambda is 0.44238812849001524
the regulation term lambda/alpha is 1.8430944116885426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4095245663740872
the lambda is 0.4971184243589949
the regulation term lambda/alpha is 1.21389158350245
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2797065754886962
the lambda is 0.5447332577412559
the regulation term lambda/alpha is 1.947516810391432
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3009525150087213
the lambda is 0.40690839960555575
the regulation term lambda/alpha is 1.3520684470563868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29955984760512266
the lambda is 0.5024989214999172
the regulation term lambda/alpha is 1.677457528160807
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32204409458515554
the lambda is 0.45502651169108116
the regulation term lambda/alpha is 1.412932326168652
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.318829335893144
the lambda is 0.46410171278429185
the regulation term lambda/alpha is 1.4556430683650643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43907918550551417
the lambda is 0.6147203418758891
the regulation term lambda/alpha is 1.4000215955765662
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.26020121529125584
the lambda is 0.38681916432113916
the regulation term lambda/alpha is 1.4866155174877016
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32137544945806995
the lambda is 0.5333226861581531
the regulation term lambda/alpha is 1.6595003976112248
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24964161191866413
the lambda is 0.37627673040169396
the regulation term lambda/alpha is 1.5072676686781243
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27533765583032466
the lambda is 0.584356528018335
the regulation term lambda/alpha is 2.1223269525416515
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4025276230353216
the lambda is 0.5639660777882035
the regulation term lambda/alpha is 1.4010618042447134
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3157896046413724
the lambda is 0.4368586495685694
the regulation term lambda/alpha is 1.3833851499471919
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41950255037023354
the lambda is 0.6174249403744126
the regulation term lambda/alpha is 1.4718025905432564
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3047922666664406
the lambda is 0.3943333203532813
the regulation term lambda/alpha is 1.2937773148451723
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2577236799405163
the lambda is 0.515993536717139
the regulation term lambda/alpha is 2.002119234197775
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4397389361623807
the lambda is 0.5058667776531977
the regulation term lambda/alpha is 1.1503797732079795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37539751943081257
the lambda is 0.49216688679186194
the regulation term lambda/alpha is 1.3110552449523325
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3412117809826399
the lambda is 0.46578665236043776
the regulation term lambda/alpha is 1.3650954577800347
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2655091541574404
the lambda is 0.5802800290234286
the regulation term lambda/alpha is 2.185536807063672
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32696737553590677
the lambda is 0.606143713866329
the regulation term lambda/alpha is 1.8538354564361232
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.48066776054083815
the lambda is 0.47274349861966364
the regulation term lambda/alpha is 0.9835140557122901
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2668734651233132
the lambda is 0.5164949997924284
the regulation term lambda/alpha is 1.9353553923158808
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2761528371920298
the lambda is 0.48929458885643606
the regulation term lambda/alpha is 1.7718253190214113
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3466954853943313
the lambda is 0.44360086375342617
the regulation term lambda/alpha is 1.2795115092106686
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33445994784963173
the lambda is 0.5001302281661875
the regulation term lambda/alpha is 1.4953366804656643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35242992607612916
the lambda is 0.49694008090832537
the regulation term lambda/alpha is 1.4100393983029134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36462696305268916
the lambda is 0.5637031263638719
the regulation term lambda/alpha is 1.5459721399769768
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3284688502434189
the lambda is 0.546955407905608
the regulation term lambda/alpha is 1.665166750211702
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5416219842264385
the lambda is 0.5378936679124762
the regulation term lambda/alpha is 0.9931163866635008
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4017115794067526
the lambda is 0.46145303124852405
the regulation term lambda/alpha is 1.1487172760366966
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2722022407409652
the lambda is 0.46554409714395556
the regulation term lambda/alpha is 1.710287526938397
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3314296013202605
the lambda is 0.4415188479266146
the regulation term lambda/alpha is 1.3321647980983293
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24446420257975193
the lambda is 0.5119635094870256
the regulation term lambda/alpha is 2.0942269014622172
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2881769773752438
the lambda is 0.5276654835854572
the regulation term lambda/alpha is 1.8310466311067186
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3159195803642233
the lambda is 0.4330090717587369
the regulation term lambda/alpha is 1.3706306879096295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3055490632239997
the lambda is 0.46086002822783134
the regulation term lambda/alpha is 1.5083012311183959
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3039731233900929
the lambda is 0.4595880478111524
the regulation term lambda/alpha is 1.5119364590051494
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32350842611397296
the lambda is 0.459636783834285
the regulation term lambda/alpha is 1.4207876726906448
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3451782294667106
the lambda is 0.5235320022098597
the regulation term lambda/alpha is 1.516700526040417
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2966859796315043
the lambda is 0.5361715952985884
the regulation term lambda/alpha is 1.8072023354947029
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2977415539162654
the lambda is 0.5513546260655791
the regulation term lambda/alpha is 1.8517893079198409
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3439737113307577
the lambda is 0.5403020342903531
the regulation term lambda/alpha is 1.5707654872811203
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2572858107494372
the lambda is 0.5512467899915204
the regulation term lambda/alpha is 2.1425464093251643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33988199951879905
the lambda is 0.5047975501115728
the regulation term lambda/alpha is 1.485214135571343
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3284204960287175
the lambda is 0.5521544127136248
the regulation term lambda/alpha is 1.6812422470287716
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4026788873141646
the lambda is 0.5466029250308435
the regulation term lambda/alpha is 1.3574163986511447
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28796175804747326
the lambda is 0.49062304636778903
the regulation term lambda/alpha is 1.7037784798039228
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2283665841340349
the lambda is 0.5173250185024421
the regulation term lambda/alpha is 2.2653271294665824
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27044001576584714
the lambda is 0.4737620396496674
the regulation term lambda/alpha is 1.7518193019921315
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36187293784351676
the lambda is 0.6540131197170753
the regulation term lambda/alpha is 1.8073004398021262
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3100296652553563
the lambda is 0.6009445158782295
the regulation term lambda/alpha is 1.9383452076537928
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4137155091252636
the lambda is 0.6222416143155066
the regulation term lambda/alpha is 1.50403260354232
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34728783115733775
the lambda is 0.4969030120871003
the regulation term lambda/alpha is 1.4308103178598846
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2972391291957773
the lambda is 0.49583764523053014
the regulation term lambda/alpha is 1.6681439168930732
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3314671351019549
the lambda is 0.42483706653907716
the regulation term lambda/alpha is 1.2816868447859933
200
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36982738120869074
the lambda is 0.5152330075953585
the regulation term lambda/alpha is 1.3931716086338575
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2766326561754642
the lambda is 0.41203153216632
the regulation term lambda/alpha is 1.4894536959691926
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3310532352151865
the lambda is 0.4764633825047248
the regulation term lambda/alpha is 1.4392349381362213
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3310814881446159
the lambda is 0.5440522444567903
the regulation term lambda/alpha is 1.6432578200178596
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27417701331204075
the lambda is 0.45381216923682555
the regulation term lambda/alpha is 1.6551794906319959
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4003956081120481
the lambda is 0.48373619923351535
the regulation term lambda/alpha is 1.2081456175666765
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2765364866812401
the lambda is 0.44627537478737367
the regulation term lambda/alpha is 1.6138028660998696
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3498271376490247
the lambda is 0.572266775535575
the regulation term lambda/alpha is 1.6358558669331138
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33179650275074113
the lambda is 0.4524253923643336
the regulation term lambda/alpha is 1.363562872464071
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33181408546623087
the lambda is 0.687404778289085
the regulation term lambda/alpha is 2.071656413630587
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3876123634862494
the lambda is 0.6004665678928505
the regulation term lambda/alpha is 1.5491419378168316
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2991345333964909
the lambda is 0.5067240205757886
the regulation term lambda/alpha is 1.693966974732891
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26727378306394783
the lambda is 0.40206319644462873
the regulation term lambda/alpha is 1.5043121395428118
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27489149119098205
the lambda is 0.38540459685114853
the regulation term lambda/alpha is 1.402024468568898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178306108382573
the lambda is 0.5275558399147756
the regulation term lambda/alpha is 1.659864789371237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2094478391989159
the lambda is 0.4692853426157152
the regulation term lambda/alpha is 2.240583356747011
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36468522361372474
the lambda is 0.5653411115916227
the regulation term lambda/alpha is 1.5502166662788428
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32335755296747243
the lambda is 0.5412986080088452
the regulation term lambda/alpha is 1.673994013875087
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42420421169030387
the lambda is 0.4978448333765419
the regulation term lambda/alpha is 1.1735971017185478
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31860353908945827
the lambda is 0.4726384001498805
the regulation term lambda/alpha is 1.4834687696836035
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39003573952599363
the lambda is 0.46684008719685943
the regulation term lambda/alpha is 1.196916179435775
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29738728562152006
the lambda is 0.5022118140474321
the regulation term lambda/alpha is 1.6887467566000414
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37364914249664943
the lambda is 0.5731204077626463
the regulation term lambda/alpha is 1.5338464419673745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42753099091826285
the lambda is 0.5412215614218785
the regulation term lambda/alpha is 1.2659235772813284
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29441269369561146
the lambda is 0.507243126244251
the regulation term lambda/alpha is 1.7228982890550282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27119375437551885
the lambda is 0.4767369340941411
the regulation term lambda/alpha is 1.7579200346701531
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3401989473320282
the lambda is 0.4286906196228107
the regulation term lambda/alpha is 1.2601174194828304
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3490233185089767
the lambda is 0.5417271187714808
the regulation term lambda/alpha is 1.5521229959239753
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34084171853968126
the lambda is 0.5004715496721923
the regulation term lambda/alpha is 1.4683400606487869
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33664726314167326
the lambda is 0.39899933056510806
the regulation term lambda/alpha is 1.1852148353785807
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2580431355198219
the lambda is 0.47768230243224036
the regulation term lambda/alpha is 1.8511722912913784
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31286557174510055
the lambda is 0.5156408493120188
the regulation term lambda/alpha is 1.6481226951111272
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3274450307606892
the lambda is 0.5498044493132053
the regulation term lambda/alpha is 1.6790740358342033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27935853681596773
the lambda is 0.4619347047504247
the regulation term lambda/alpha is 1.6535549978726163
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30139898227215417
the lambda is 0.49278657991609115
the regulation term lambda/alpha is 1.634997491368832
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27886189501010067
the lambda is 0.5447131578581306
the regulation term lambda/alpha is 1.9533438150034823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32339645012020335
the lambda is 0.49372635077135385
the regulation term lambda/alpha is 1.5266906936914135
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2987015112695517
the lambda is 0.5091018121294267
the regulation term lambda/alpha is 1.7043831146539041
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2897119849274871
the lambda is 0.4370759363984427
the regulation term lambda/alpha is 1.5086567319879423
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2549452669567062
the lambda is 0.45060351602141724
the regulation term lambda/alpha is 1.7674519766548045
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3156791857870027
the lambda is 0.47851414999194014
the regulation term lambda/alpha is 1.5158242023432187
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32844460468870357
the lambda is 0.5278362090588072
the regulation term lambda/alpha is 1.6070783368753614
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.5552361666528637
the lambda is 0.5449455746739124
the regulation term lambda/alpha is 0.981466279401455
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4261867494348215
the lambda is 0.5173147864855898
the regulation term lambda/alpha is 1.213821844934447
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24356965892471807
the lambda is 0.4189092033405521
the regulation term lambda/alpha is 1.7198743274917816
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37274558067647734
the lambda is 0.5002619864708927
the regulation term lambda/alpha is 1.3421003826872802
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3436028387912195
the lambda is 0.41271215024051705
the regulation term lambda/alpha is 1.20113137508532
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32414831790571097
the lambda is 0.48060704528483594
the regulation term lambda/alpha is 1.482676351338143
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27966727822183324
the lambda is 0.5108429550392528
the regulation term lambda/alpha is 1.8266096709177757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4115172822402296
the lambda is 0.4515265500245485
the regulation term lambda/alpha is 1.097223785029186
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3114543860135475
the lambda is 0.5747657947386883
the regulation term lambda/alpha is 1.84542527108187
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3956568211933728
the lambda is 0.521915305607282
the regulation term lambda/alpha is 1.3191111024778766
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3242272294925197
the lambda is 0.5375193451417003
the regulation term lambda/alpha is 1.6578476335347445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.281240466249519
the lambda is 0.5379170305961148
the regulation term lambda/alpha is 1.9126587214475395
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3212886786498711
the lambda is 0.5474660189357361
the regulation term lambda/alpha is 1.7039692193211233
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30054577656610115
the lambda is 0.5010289164978019
the regulation term lambda/alpha is 1.66706357421598
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2864427442545881
the lambda is 0.4136749647745763
the regulation term lambda/alpha is 1.4441802875862173
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.292449477366102
the lambda is 0.5314089939355805
the regulation term lambda/alpha is 1.8170967468351389
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.294697726556089
the lambda is 0.47094858365706005
the regulation term lambda/alpha is 1.598073351839807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3755204526491184
the lambda is 0.5482882956961879
the regulation term lambda/alpha is 1.4600757211179163
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3560842750997944
the lambda is 0.5112733705584945
the regulation term lambda/alpha is 1.4358212544353655
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27792826530260045
the lambda is 0.4825668057877042
the regulation term lambda/alpha is 1.7362998515544976
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3534206267764854
the lambda is 0.5221764924043674
the regulation term lambda/alpha is 1.4774929725157457
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29363095613181095
the lambda is 0.5220309362397372
the regulation term lambda/alpha is 1.7778470741531676
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36077264671204007
the lambda is 0.46069185774606725
the regulation term lambda/alpha is 1.2769589433807056
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4762363969755371
the lambda is 0.43725369470545095
the regulation term lambda/alpha is 0.9181442188844533
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28438868277113677
the lambda is 0.5304662722337973
the regulation term lambda/alpha is 1.8652861536712158
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44597661059615923
the lambda is 0.5376763154614661
the regulation term lambda/alpha is 1.2056155024424426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2594631372521058
the lambda is 0.5914496572954199
the regulation term lambda/alpha is 2.2795132424562543
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3028872547863335
the lambda is 0.4508598430629274
the regulation term lambda/alpha is 1.4885401611929119
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38688695438434395
the lambda is 0.5088181664570272
the regulation term lambda/alpha is 1.3151597920036182
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23857192676232783
the lambda is 0.5136572285665274
the regulation term lambda/alpha is 2.1530497554234342
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2804261988623875
the lambda is 0.5147337706095556
the regulation term lambda/alpha is 1.835540946950356
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3338735067710896
the lambda is 0.5088922566606999
the regulation term lambda/alpha is 1.5242067619627175
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3132525381466834
the lambda is 0.40223524956528195
the regulation term lambda/alpha is 1.284060623882101
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26074627637656234
the lambda is 0.4073173372522394
the regulation term lambda/alpha is 1.5621213959888092
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33500931567100084
the lambda is 0.534826494257136
the regulation term lambda/alpha is 1.5964526036713784
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30129824666386035
the lambda is 0.49849755577065596
the regulation term lambda/alpha is 1.6544986945337208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.44572237730795383
the lambda is 0.4979593719080907
the regulation term lambda/alpha is 1.1171962577145769
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.332969381622491
the lambda is 0.5369274904762278
the regulation term lambda/alpha is 1.6125431349269745
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35427736046640257
the lambda is 0.4238851813512285
the regulation term lambda/alpha is 1.1964783208082728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24297391374797114
the lambda is 0.471443058806014
the regulation term lambda/alpha is 1.9403031853659254
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3319794038245086
the lambda is 0.5554394951493329
the regulation term lambda/alpha is 1.6731143220045968
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23912746405416313
the lambda is 0.4672994090800272
the regulation term lambda/alpha is 1.9541854421798344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3515942670066504
the lambda is 0.5893970139671797
the regulation term lambda/alpha is 1.6763555873225635
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37982847926607594
the lambda is 0.5182719767914911
the regulation term lambda/alpha is 1.364489513247987
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3099115148057642
the lambda is 0.5907306715924113
the regulation term lambda/alpha is 1.906126889033631
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35302027428156996
the lambda is 0.5889301985154547
the regulation term lambda/alpha is 1.668261687558835
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.324630158352011
the lambda is 0.4657972811124324
the regulation term lambda/alpha is 1.4348552318030403
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29129846602674536
the lambda is 0.45406260336103965
the regulation term lambda/alpha is 1.5587538429376768
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2790009766312919
the lambda is 0.3946778013566232
the regulation term lambda/alpha is 1.414610823668197
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22081192153022589
the lambda is 0.43634162215726713
the regulation term lambda/alpha is 1.9760781896802542
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3241927621968654
the lambda is 0.46942534515553846
the regulation term lambda/alpha is 1.4479821880492227
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40873325566722807
the lambda is 0.48992016598057314
the regulation term lambda/alpha is 1.198630547398971
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.274586604506285
the lambda is 0.4461565358113797
the regulation term lambda/alpha is 1.624829938858753
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30229459017694227
the lambda is 0.4974222725881781
the regulation term lambda/alpha is 1.6454885027781068
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3100757134803059
the lambda is 0.4824534512204092
the regulation term lambda/alpha is 1.5559214419127725
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26413439747967915
the lambda is 0.5086294208565754
the regulation term lambda/alpha is 1.9256462835201391
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35875470863037945
the lambda is 0.45796648129301454
the regulation term lambda/alpha is 1.276544865547261
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40984101738036693
the lambda is 0.46550073822017984
the regulation term lambda/alpha is 1.1358080779605229
210
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3803981741825723
the lambda is 0.5055298689463241
the regulation term lambda/alpha is 1.3289492517482346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3028860567149261
the lambda is 0.4352554941427829
the regulation term lambda/alpha is 1.4370271740585334
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25345778672726016
the lambda is 0.5470020844115407
the regulation term lambda/alpha is 2.158158529965215
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3116326145780917
the lambda is 0.4549877566887551
the regulation term lambda/alpha is 1.460013282963809
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33079211157698984
the lambda is 0.4927996535837153
the regulation term lambda/alpha is 1.4897563646073197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3037284244371595
the lambda is 0.4593165102136091
the regulation term lambda/alpha is 1.5122605369081623
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3089101582451884
the lambda is 0.5303337101094773
the regulation term lambda/alpha is 1.716789480547093
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3493833676369186
the lambda is 0.45381684787221793
the regulation term lambda/alpha is 1.2989079902161436
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30221415968642124
the lambda is 0.4783111324783353
the regulation term lambda/alpha is 1.582689351732007
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4790494259472988
the lambda is 0.4875364654718335
the regulation term lambda/alpha is 1.0177164172731277
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39097732038989436
the lambda is 0.4682450923096712
the regulation term lambda/alpha is 1.1976272481552719
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3703692522219565
the lambda is 0.4998262303053476
the regulation term lambda/alpha is 1.349534896071258
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3455579846450023
the lambda is 0.5752524166995652
the regulation term lambda/alpha is 1.664705902514543
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30037596527679
the lambda is 0.4724271567758531
the regulation term lambda/alpha is 1.572786145990481
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29978893999915646
the lambda is 0.47003648912475277
the regulation term lambda/alpha is 1.5678913609223721
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4792643034117071
the lambda is 0.5359113334866229
the regulation term lambda/alpha is 1.1181958048443548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3841768300365934
the lambda is 0.5186212956479211
the regulation term lambda/alpha is 1.3499546435388143
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2470522313451883
the lambda is 0.38228576237530587
the regulation term lambda/alpha is 1.5473884218481941
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3836014475819197
the lambda is 0.45433554917692565
the regulation term lambda/alpha is 1.184394772336985
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22086143426644833
the lambda is 0.39281890703605865
the regulation term lambda/alpha is 1.7785762749424148
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3192267782018147
the lambda is 0.4487512111980545
the regulation term lambda/alpha is 1.4057442603212773
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2599659734147649
the lambda is 0.4130395432898981
the regulation term lambda/alpha is 1.5888215594696722
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2882041658749812
the lambda is 0.40091116100825047
the regulation term lambda/alpha is 1.3910665024257836
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2773584336142536
the lambda is 0.4684892750955258
the regulation term lambda/alpha is 1.689111338676993
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.295772224617697
the lambda is 0.48926017706251185
the regulation term lambda/alpha is 1.6541789131650528
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29887761755583636
the lambda is 0.48777397870017714
the regulation term lambda/alpha is 1.6320190942670745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37541745150865263
the lambda is 0.5484181052152242
the regulation term lambda/alpha is 1.4608220875490765
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.38396813357394655
the lambda is 0.44962007581132496
the regulation term lambda/alpha is 1.1709827886660673
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3028780093668617
the lambda is 0.5337526451829453
the regulation term lambda/alpha is 1.762269391226869
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29748171974321796
the lambda is 0.525110881314832
the regulation term lambda/alpha is 1.765187056764699
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3537622432165744
the lambda is 0.5275609898666855
the regulation term lambda/alpha is 1.4912868741159326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.313865748519558
the lambda is 0.4892643322010229
the regulation term lambda/alpha is 1.5588331460466296
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.257261706648901
the lambda is 0.3566443918996371
the regulation term lambda/alpha is 1.386309670977846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.5123023667482478
the lambda is 0.6101542613844583
the regulation term lambda/alpha is 1.1910041822709287
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31140577183120216
the lambda is 0.4952047990828068
the regulation term lambda/alpha is 1.5902235728348448
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3596401185574853
the lambda is 0.5746938551829374
the regulation term lambda/alpha is 1.5979692629621844
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37101104803668583
the lambda is 0.602139596283052
the regulation term lambda/alpha is 1.6229694492103428
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3013432702778502
the lambda is 0.4846732434728941
the regulation term lambda/alpha is 1.6083758665856602
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42970278103649234
the lambda is 0.6331820492081055
the regulation term lambda/alpha is 1.4735349109931237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36733803808337573
the lambda is 0.5589867528384254
the regulation term lambda/alpha is 1.52172303133919
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3921615475123428
the lambda is 0.4940632483913509
the regulation term lambda/alpha is 1.2598462330777112
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30714447448141025
the lambda is 0.5085704933847174
the regulation term lambda/alpha is 1.6558021896483712
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25564543046607585
the lambda is 0.4603248990752272
the regulation term lambda/alpha is 1.8006380878234096
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3278681045566084
the lambda is 0.47821988800593257
the regulation term lambda/alpha is 1.4585739855746322
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29904460215861023
the lambda is 0.41420102947471943
the regulation term lambda/alpha is 1.3850811099243028
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.27763645665504977
the lambda is 0.4668767291544365
the regulation term lambda/alpha is 1.6816117550963736
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3225466425209482
the lambda is 0.5256513723225872
the regulation term lambda/alpha is 1.629691036974437
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2729493287721882
the lambda is 0.509575021148861
the regulation term lambda/alpha is 1.8669216863111167
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3843043889145312
the lambda is 0.5815898899587284
the regulation term lambda/alpha is 1.5133573977685517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.305316863084708
the lambda is 0.6104030210092075
the regulation term lambda/alpha is 1.9992443746543258
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2547579351209111
the lambda is 0.5011454580223548
the regulation term lambda/alpha is 1.9671436643749889
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4680100478036681
the lambda is 0.4721744472515527
the regulation term lambda/alpha is 1.008898098379357
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3351761174568041
the lambda is 0.46983169383199086
the regulation term lambda/alpha is 1.401745737127409
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29693897981410483
the lambda is 0.4778335459752743
the regulation term lambda/alpha is 1.6091977761707688
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3633887528472049
the lambda is 0.5304219721727146
the regulation term lambda/alpha is 1.459654345426983
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.255650245692297
the lambda is 0.490702508448705
the regulation term lambda/alpha is 1.9194290508889988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37829745375899465
the lambda is 0.4786821302607658
the regulation term lambda/alpha is 1.265359112265461
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23539585890716191
the lambda is 0.4558551189981543
the regulation term lambda/alpha is 1.9365468921776554
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43253503840098795
the lambda is 0.5599896652019231
the regulation term lambda/alpha is 1.294668906528623
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3364626556193783
the lambda is 0.47528473588125186
the regulation term lambda/alpha is 1.412592832944038
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2747036369656454
the lambda is 0.5394900779295483
the regulation term lambda/alpha is 1.9638985631523225
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4490315373020269
the lambda is 0.6220480989913305
the regulation term lambda/alpha is 1.3853104900579165
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3542742607378072
the lambda is 0.5238946736403055
the regulation term lambda/alpha is 1.4787827728417213
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3231054707222638
the lambda is 0.5166045135152807
the regulation term lambda/alpha is 1.5988726912004083
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29628489795836443
the lambda is 0.5317809974007643
the regulation term lambda/alpha is 1.7948299122403906
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25239567474489033
the lambda is 0.49840926901676663
the regulation term lambda/alpha is 1.9747139863650012
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30378272746229457
the lambda is 0.5471626046707494
the regulation term lambda/alpha is 1.8011643033215674
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3237063226026465
the lambda is 0.5257779700553724
the regulation term lambda/alpha is 1.6242437460845378
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2816371118455799
the lambda is 0.45762660490376345
the regulation term lambda/alpha is 1.6248803359220558
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31673589956466763
the lambda is 0.5310120769784479
the regulation term lambda/alpha is 1.6765137065558042
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22908075644560094
the lambda is 0.45884500105311926
the regulation term lambda/alpha is 2.0029836122969136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34170511549291577
the lambda is 0.5314430829556394
the regulation term lambda/alpha is 1.5552681504022061
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31320178257431763
the lambda is 0.43051640329622404
the regulation term lambda/alpha is 1.374565622703854
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3370231361567651
the lambda is 0.48064965808217985
the regulation term lambda/alpha is 1.426162202284556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.261929872192953
the lambda is 0.5371462071769285
the regulation term lambda/alpha is 2.050725267338866
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34708132829226923
the lambda is 0.49806974450321306
the regulation term lambda/alpha is 1.4350231600007015
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2612790891467026
the lambda is 0.5482130338140291
the regulation term lambda/alpha is 2.0981894709002877
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28446159278161065
the lambda is 0.4539208528370704
the regulation term lambda/alpha is 1.5957192969300376
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3460465176934265
the lambda is 0.5235507930130174
the regulation term lambda/alpha is 1.5129491737201863
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27408155430979136
the lambda is 0.5168387253302292
the regulation term lambda/alpha is 1.8857114504905796
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4750332732605772
the lambda is 0.48675909835330455
the regulation term lambda/alpha is 1.0246842184595673
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35233631757747297
the lambda is 0.49426880738573425
the regulation term lambda/alpha is 1.4028324153017597
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3142171547091724
the lambda is 0.41275532146341576
the regulation term lambda/alpha is 1.3135989403425368
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3473275770649342
the lambda is 0.574233352361418
the regulation term lambda/alpha is 1.6532904102056454
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35080599112387867
the lambda is 0.5430634326218876
the regulation term lambda/alpha is 1.5480449204475468
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3237363159453575
the lambda is 0.5985226241380953
the regulation term lambda/alpha is 1.84879667389283
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3337340036335666
the lambda is 0.4182258303615384
the regulation term lambda/alpha is 1.2531711656830216
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3765415024615214
the lambda is 0.48045566914566357
the regulation term lambda/alpha is 1.2759700219095
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2809919826160737
the lambda is 0.5236974297762849
the regulation term lambda/alpha is 1.8637450965703373
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28198308342402295
the lambda is 0.4340950329845749
the regulation term lambda/alpha is 1.5394364360922266
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3018790029853293
the lambda is 0.4755743224238269
the regulation term lambda/alpha is 1.5753805919616701
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2538867204003811
the lambda is 0.5268406126292928
the regulation term lambda/alpha is 2.075101099413398
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34234588087532736
the lambda is 0.3927962780700106
the regulation term lambda/alpha is 1.147366742271556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35891146820833214
the lambda is 0.516099627198665
the regulation term lambda/alpha is 1.4379580284102043
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25803986533138734
the lambda is 0.4600089145204787
the regulation term lambda/alpha is 1.7827048310140485
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34520613994026
the lambda is 0.4754169770122794
the regulation term lambda/alpha is 1.3771973380732834
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23838564215783495
the lambda is 0.5630362881328724
the regulation term lambda/alpha is 2.3618716422530452
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25754133054676154
the lambda is 0.4143181125878916
the regulation term lambda/alpha is 1.6087441643183724
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2686942246115477
the lambda is 0.48393214605429863
the regulation term lambda/alpha is 1.801051536384607
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33284102243103597
the lambda is 0.5320737701094066
the regulation term lambda/alpha is 1.5985823088247821
220
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3212463311318984
the lambda is 0.4769916426577436
the regulation term lambda/alpha is 1.48481584514003
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3042178610702673
the lambda is 0.4148228825111185
the regulation term lambda/alpha is 1.3635717543070358
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2626291180420681
the lambda is 0.46708132969361515
the regulation term lambda/alpha is 1.7784826495087942
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29984081980105104
the lambda is 0.4288941979403598
the regulation term lambda/alpha is 1.4304063009997694
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.44833171099689756
the lambda is 0.5589622079033661
the regulation term lambda/alpha is 1.2467603655794808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32348186005911045
the lambda is 0.5972566876608331
the regulation term lambda/alpha is 1.8463374964880417
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3659738699801642
the lambda is 0.5355596312979631
the regulation term lambda/alpha is 1.4633821571113548
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3934747483042076
the lambda is 0.4530736791366645
the regulation term lambda/alpha is 1.151468248189536
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2993392782176004
the lambda is 0.5409572896911269
the regulation term lambda/alpha is 1.8071710899826707
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3925722774043451
the lambda is 0.5197203893302614
the regulation term lambda/alpha is 1.3238845920720868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28552020109489923
the lambda is 0.5119842383618433
the regulation term lambda/alpha is 1.7931629229683594
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2827543411603968
the lambda is 0.4072797304025925
the regulation term lambda/alpha is 1.44040133471039
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2834344054417089
the lambda is 0.5151448783559724
the regulation term lambda/alpha is 1.8175100427669044
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3099249100660287
the lambda is 0.5516374840558673
the regulation term lambda/alpha is 1.7799068940226277
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3043365988303271
the lambda is 0.4983599148237793
the regulation term lambda/alpha is 1.6375286992729505
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28288893151465083
the lambda is 0.5423157895929926
the regulation term lambda/alpha is 1.9170625965792023
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.328646679614473
the lambda is 0.49543364411916135
the regulation term lambda/alpha is 1.5074962713767315
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3234130384790795
the lambda is 0.4399981307929844
the regulation term lambda/alpha is 1.360483587372271
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3065086660953078
the lambda is 0.47903468857637105
the regulation term lambda/alpha is 1.5628748598821571
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3207298087744385
the lambda is 0.43129389612487673
the regulation term lambda/alpha is 1.3447265714805925
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2786348892113824
the lambda is 0.508629856869621
the regulation term lambda/alpha is 1.8254349206202825
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28472433597369146
the lambda is 0.5269686495042749
the regulation term lambda/alpha is 1.8508029800198282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32068917207561054
the lambda is 0.5318469498721454
the regulation term lambda/alpha is 1.6584499764362144
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30314548328358415
the lambda is 0.49193697475441955
the regulation term lambda/alpha is 1.6227752082132334
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.420316824069018
the lambda is 0.5245817258314771
the regulation term lambda/alpha is 1.2480626417783798
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3551455072611808
the lambda is 0.5309532661580281
the regulation term lambda/alpha is 1.4950302208597415
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39063790332802667
the lambda is 0.546425455031987
the regulation term lambda/alpha is 1.398802958895523
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.276401298968058
the lambda is 0.458000100082018
the regulation term lambda/alpha is 1.6570113881228405
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32429114393318487
the lambda is 0.47175821216490976
the regulation term lambda/alpha is 1.4547366494291567
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37187917198772763
the lambda is 0.5103941766709275
the regulation term lambda/alpha is 1.3724731448196592
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3602529320603291
the lambda is 0.4613807120290118
the regulation term lambda/alpha is 1.2807132738388025
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40717930475344294
the lambda is 0.5916238099214577
the regulation term lambda/alpha is 1.4529810405754793
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28289233802128144
the lambda is 0.4859890307914424
the regulation term lambda/alpha is 1.7179292807671673
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3023173707582074
the lambda is 0.47549603769810184
the regulation term lambda/alpha is 1.5728373017586286
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2830788338311145
the lambda is 0.4767818333713626
the regulation term lambda/alpha is 1.6842722817482418
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33645080681883094
the lambda is 0.4394404314678964
the regulation term lambda/alpha is 1.306106041542419
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3804754770116731
the lambda is 0.5373827686807982
the regulation term lambda/alpha is 1.4123979103765236
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2571991459875365
the lambda is 0.520205021145601
the regulation term lambda/alpha is 2.022576782470379
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.252302475136011
the lambda is 0.4895224627501501
the regulation term lambda/alpha is 1.9402206121293846
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28202845367280555
the lambda is 0.429460368606152
the regulation term lambda/alpha is 1.5227554631930478
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29885939658236005
the lambda is 0.5098411894321806
the regulation term lambda/alpha is 1.7059566982418033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3171006909844479
the lambda is 0.4575314803051859
the regulation term lambda/alpha is 1.442858667020771
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29072096201744757
the lambda is 0.43067042359630137
the regulation term lambda/alpha is 1.481387584189594
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.384346157803329
the lambda is 0.5545547012236047
the regulation term lambda/alpha is 1.4428522048797792
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2927437514159003
the lambda is 0.5139208369124942
the regulation term lambda/alpha is 1.7555313629303335
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3133135027602437
the lambda is 0.5286310255673841
the regulation term lambda/alpha is 1.6872270773848752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31270215041032173
the lambda is 0.5114759667305762
the regulation term lambda/alpha is 1.6356650124069414
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2920099475027215
the lambda is 0.4553169935322741
the regulation term lambda/alpha is 1.5592516536719372
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35283788800154936
the lambda is 0.536557457079557
the regulation term lambda/alpha is 1.5206911596670734
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40853521870587395
the lambda is 0.4414922580836922
the regulation term lambda/alpha is 1.0806712319251617
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2920516657031365
the lambda is 0.5097310631818296
the regulation term lambda/alpha is 1.7453455091742534
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29910344834429414
the lambda is 0.5369185360237073
the regulation term lambda/alpha is 1.7950930990460106
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2953590928649769
the lambda is 0.45298335413835084
the regulation term lambda/alpha is 1.5336699125949431
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41423087465438974
the lambda is 0.568962847482228
the regulation term lambda/alpha is 1.37354041500875
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30579913256546654
the lambda is 0.5376256195016009
the regulation term lambda/alpha is 1.7581005380599115
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29532667919742817
the lambda is 0.5403829770053173
the regulation term lambda/alpha is 1.8297804264546893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43227693647580906
the lambda is 0.6644136665959472
the regulation term lambda/alpha is 1.5370092885654771
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3390430824389271
the lambda is 0.5302648491348576
the regulation term lambda/alpha is 1.5640043304242193
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28111953527369987
the lambda is 0.4113518006887034
the regulation term lambda/alpha is 1.4632629507167068
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.304776148505924
the lambda is 0.46363200072375615
the regulation term lambda/alpha is 1.5212214046163932
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2858278223927499
the lambda is 0.45076821698356734
the regulation term lambda/alpha is 1.5770620690807922
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31349019681615037
the lambda is 0.46202166029111447
the regulation term lambda/alpha is 1.4737993882535088
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25399581290878315
the lambda is 0.4603818451185974
the regulation term lambda/alpha is 1.8125568285802143
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3310676377232321
the lambda is 0.5020863285569949
the regulation term lambda/alpha is 1.5165672247818194
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28205718577528943
the lambda is 0.448126570742008
the regulation term lambda/alpha is 1.588779131828336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37546396164682433
the lambda is 0.5619662305441749
the regulation term lambda/alpha is 1.4967248203511518
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32319693415472894
the lambda is 0.48848668920131605
the regulation term lambda/alpha is 1.5114211726013944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33304098741759797
the lambda is 0.510411370522789
the regulation term lambda/alpha is 1.5325782405358634
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.293961547664091
the lambda is 0.4537554765332626
the regulation term lambda/alpha is 1.5435878608578006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4238527244664648
the lambda is 0.4767460162160561
the regulation term lambda/alpha is 1.12479167573164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3472765376040265
the lambda is 0.576932585585757
the regulation term lambda/alpha is 1.6613059712187932
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2865717172776618
the lambda is 0.47495940750107685
the regulation term lambda/alpha is 1.6573840992161994
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37810787613513713
the lambda is 0.4802724652704814
the regulation term lambda/alpha is 1.2701995794946896
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4225933220534917
the lambda is 0.6851046395362951
the regulation term lambda/alpha is 1.6211913529707287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3722543691184526
the lambda is 0.5149904491457288
the regulation term lambda/alpha is 1.3834369502909907
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41654526792722624
the lambda is 0.4919421164309033
the regulation term lambda/alpha is 1.1810051735285816
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34128372251758504
the lambda is 0.524452114399923
the regulation term lambda/alpha is 1.5367041549217162
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29673574584584866
the lambda is 0.49157543454364777
the regulation term lambda/alpha is 1.6566101031825684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36808194457311433
the lambda is 0.45790913370306335
the regulation term lambda/alpha is 1.2440412806287653
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29849539259490115
the lambda is 0.4833454593575916
the regulation term lambda/alpha is 1.619272763829749
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2909397560956897
the lambda is 0.4526028972098526
the regulation term lambda/alpha is 1.5556584747427644
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3803741312833546
the lambda is 0.6222273629406704
the regulation term lambda/alpha is 1.6358298626705254
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30683168757830404
the lambda is 0.5903225479804397
the regulation term lambda/alpha is 1.9239295414356063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.276736074347686
the lambda is 0.4763001244754971
the regulation term lambda/alpha is 1.7211349318957332
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2393974519097451
the lambda is 0.4869550339053041
the regulation term lambda/alpha is 2.034086119216049
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2979977356699425
the lambda is 0.5268941162102655
the regulation term lambda/alpha is 1.7681144959901474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2847279534842731
the lambda is 0.4259616242350607
the regulation term lambda/alpha is 1.4960302247197117
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3773822905311227
the lambda is 0.49642476776910355
the regulation term lambda/alpha is 1.315442669740655
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3178393763354385
the lambda is 0.5263173428251452
the regulation term lambda/alpha is 1.6559223998403678
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3880189348945347
the lambda is 0.5168004071464053
the regulation term lambda/alpha is 1.3318948140684783
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2922808870626002
the lambda is 0.5285898557515389
the regulation term lambda/alpha is 1.8084995603504055
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2574511704494388
the lambda is 0.4657073138817052
the regulation term lambda/alpha is 1.8089151160925334
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31758499655016625
the lambda is 0.5170633873566745
the regulation term lambda/alpha is 1.6281102475664282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2514339046741475
the lambda is 0.4704492380076718
the regulation term lambda/alpha is 1.871065235284649
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35078559828522304
the lambda is 0.5313258924878037
the regulation term lambda/alpha is 1.514674191543587
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3557129252358557
the lambda is 0.45818678968211196
the regulation term lambda/alpha is 1.288080238800181
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3163907930576249
the lambda is 0.5754028966924809
the regulation term lambda/alpha is 1.818646146848153
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34987500358672213
the lambda is 0.5068280034267767
the regulation term lambda/alpha is 1.448597351142724
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2335662644651059
the lambda is 0.5083859863810373
the regulation term lambda/alpha is 2.1766242121707977
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.314446196419849
the lambda is 0.5089323954814053
the regulation term lambda/alpha is 1.6185039007496154
230
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40947169636678626
the lambda is 0.5332321872152949
the regulation term lambda/alpha is 1.302244311259183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.44519354772757974
the lambda is 0.4662288797377224
the regulation term lambda/alpha is 1.0472498582190022
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3333327854559381
the lambda is 0.44818216926998117
the regulation term lambda/alpha is 1.3445487177534914
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31016227009788216
the lambda is 0.48451226069781617
the regulation term lambda/alpha is 1.562125079059139
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2727489067954653
the lambda is 0.4093684799363154
the regulation term lambda/alpha is 1.5008987011020405
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36547069709190905
the lambda is 0.538651623071795
the regulation term lambda/alpha is 1.4738572130622396
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33119772548708537
the lambda is 0.451382751528837
the regulation term lambda/alpha is 1.3628799861623389
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4375427428889793
the lambda is 0.5925698662028565
the regulation term lambda/alpha is 1.354313094739668
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2807186129835522
the lambda is 0.48269614848490694
the regulation term lambda/alpha is 1.7195017578445677
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2668878308870582
the lambda is 0.447482447756368
the regulation term lambda/alpha is 1.6766686074410562
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3140120365643925
the lambda is 0.45721028951118187
the regulation term lambda/alpha is 1.4560279106289116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4103096492971225
the lambda is 0.4957835774108242
the regulation term lambda/alpha is 1.2083156666193986
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2988686724158038
the lambda is 0.516559870620647
the regulation term lambda/alpha is 1.7283841308799952
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3199495475101805
the lambda is 0.47720172219798884
the regulation term lambda/alpha is 1.4914905362783946
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25147740809309094
the lambda is 0.4987648180197537
the regulation term lambda/alpha is 1.9833384708463468
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2975066125651815
the lambda is 0.4170609481069061
the regulation term lambda/alpha is 1.401854380683828
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3788448917629468
the lambda is 0.5696857149120096
the regulation term lambda/alpha is 1.5037439524682226
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.29294907710150236
the lambda is 0.4253225367201948
the regulation term lambda/alpha is 1.4518650849779844
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3337996930455561
the lambda is 0.47770700797862514
the regulation term lambda/alpha is 1.4311187755149581
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4913811706154406
the lambda is 0.572426400026413
the regulation term lambda/alpha is 1.1649335266743444
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28346614215938215
the lambda is 0.5188371734707575
the regulation term lambda/alpha is 1.8303320795858409
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3580690604249552
the lambda is 0.5100014489045953
the regulation term lambda/alpha is 1.424310294498294
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2954426943579148
the lambda is 0.4338727208453145
the regulation term lambda/alpha is 1.4685511915880995
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43535449664002945
the lambda is 0.5560913417377993
the regulation term lambda/alpha is 1.2773299599052963
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3293121609481726
the lambda is 0.46304197264845137
the regulation term lambda/alpha is 1.4060882881313492
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3538995489122861
the lambda is 0.5195025405298979
the regulation term lambda/alpha is 1.4679378431721495
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4337526693677827
the lambda is 0.6868744135152556
the regulation term lambda/alpha is 1.5835623894059514
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30882874257429305
the lambda is 0.4468644275702166
the regulation term lambda/alpha is 1.44696514918043
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37474032166279164
the lambda is 0.6506735490504069
the regulation term lambda/alpha is 1.7363318315020086
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2930500424244395
the lambda is 0.5069855531001046
the regulation term lambda/alpha is 1.7300306422266656
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3462722804439653
the lambda is 0.4593864301643486
the regulation term lambda/alpha is 1.326662444869559
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3581514657137891
the lambda is 0.5286563627206677
the regulation term lambda/alpha is 1.4760692425677098
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30156254674473354
the lambda is 0.5324368577302059
the regulation term lambda/alpha is 1.765593451433817
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3345297667801329
the lambda is 0.5565577168701507
the regulation term lambda/alpha is 1.663701625798651
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2792884361455098
the lambda is 0.5138057556311303
the regulation term lambda/alpha is 1.8396957737392197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2825583958717415
the lambda is 0.44686856424833643
the regulation term lambda/alpha is 1.5815087103310794
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3683622782675675
the lambda is 0.4626031352646657
the regulation term lambda/alpha is 1.2558374257003708
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33584151579545846
the lambda is 0.5542119786693633
the regulation term lambda/alpha is 1.6502187865508016
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28430766657065076
the lambda is 0.4543351453287351
the regulation term lambda/alpha is 1.5980404285574632
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2979897202696368
the lambda is 0.4817499148995265
the regulation term lambda/alpha is 1.6166662207797429
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30952980478660974
the lambda is 0.5773446269595525
the regulation term lambda/alpha is 1.8652311280898284
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3308168256938411
the lambda is 0.4945059269840436
the regulation term lambda/alpha is 1.4948028291695503
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35477647052757344
the lambda is 0.4288790597787561
the regulation term lambda/alpha is 1.2088712059765063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38393337170946296
the lambda is 0.6800764120154367
the regulation term lambda/alpha is 1.7713396701813056
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3311101642538605
the lambda is 0.5308826456917957
the regulation term lambda/alpha is 1.6033414343776249
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3113242776554168
the lambda is 0.4929810925961611
the regulation term lambda/alpha is 1.5834971056828646
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34383286890512116
the lambda is 0.4545039388100165
the regulation term lambda/alpha is 1.3218746080248496
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41404267505159137
the lambda is 0.534953418563009
the regulation term lambda/alpha is 1.292024834146267
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27232101367833106
the lambda is 0.4430824880773181
the regulation term lambda/alpha is 1.6270594842919195
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.41016811960550814
the lambda is 0.5965222824806263
the regulation term lambda/alpha is 1.454336048970237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.254461402002143
the lambda is 0.5177266535366549
the regulation term lambda/alpha is 2.0345979762081745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4419155754576321
the lambda is 0.5446169295666284
the regulation term lambda/alpha is 1.232400394583609
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31201275565888326
the lambda is 0.5130239293862421
the regulation term lambda/alpha is 1.6442402436492691
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33698367605678076
the lambda is 0.4210151611634812
the regulation term lambda/alpha is 1.249363666780528
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3430667490954846
the lambda is 0.4537851597508062
the regulation term lambda/alpha is 1.3227313954128084
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35882023136529095
the lambda is 0.46192766963957205
the regulation term lambda/alpha is 1.287351239594164
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38693309108290885
the lambda is 0.5699618008172233
the regulation term lambda/alpha is 1.4730241841608127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38206032953541197
the lambda is 0.4989670431641733
the regulation term lambda/alpha is 1.305990192101129
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3268468426481265
the lambda is 0.5080818261492328
the regulation term lambda/alpha is 1.5544951330498806
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3832395839812015
the lambda is 0.5213670371413046
the regulation term lambda/alpha is 1.3604206322457506
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36051359494960195
the lambda is 0.5871531625900307
the regulation term lambda/alpha is 1.6286574787064878
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.24348600467827256
the lambda is 0.43644859040379774
the regulation term lambda/alpha is 1.7924997002620093
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26418698489552134
the lambda is 0.507920337872492
the regulation term lambda/alpha is 1.9225789569965397
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32410173146838983
the lambda is 0.4971816893965631
the regulation term lambda/alpha is 1.5340297231489923
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3305300070911682
the lambda is 0.46369367145722484
the regulation term lambda/alpha is 1.4028791985876394
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30954010347465516
the lambda is 0.4046463479943102
the regulation term lambda/alpha is 1.3072501541870236
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30494173483121495
the lambda is 0.5120930007402056
the regulation term lambda/alpha is 1.6793142500604212
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2974127790914291
the lambda is 0.4630524203064912
the regulation term lambda/alpha is 1.5569351852367515
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31496876033920285
the lambda is 0.47071090215661093
the regulation term lambda/alpha is 1.4944685360214232
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2656448503901416
the lambda is 0.66110181499222
the regulation term lambda/alpha is 2.488667911391044
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3232098814703027
the lambda is 0.44442135461300264
the regulation term lambda/alpha is 1.375024032654265
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3098752333250051
the lambda is 0.5306980631513688
the regulation term lambda/alpha is 1.712618518933906
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3063070719388806
the lambda is 0.5049020768638957
the regulation term lambda/alpha is 1.6483526601848812
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.23190940017479458
the lambda is 0.4380742432541738
the regulation term lambda/alpha is 1.8889887297538988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31735198007316684
the lambda is 0.48656453887684287
the regulation term lambda/alpha is 1.5332015220597122
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31138822141639216
the lambda is 0.5269419027028085
the regulation term lambda/alpha is 1.692234537022437
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31826709316787066
the lambda is 0.45737374469741293
the regulation term lambda/alpha is 1.4370751941237299
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30219143082556654
the lambda is 0.3590363265909746
the regulation term lambda/alpha is 1.1881088937899784
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34883524818681344
the lambda is 0.5246388266956933
the regulation term lambda/alpha is 1.5039730916605392
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3818858996486598
the lambda is 0.45829786623137536
the regulation term lambda/alpha is 1.2000910917449834
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3135879449136522
the lambda is 0.4526176611063159
the regulation term lambda/alpha is 1.4433515970486241
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3053154976348022
the lambda is 0.45813563109878586
the regulation term lambda/alpha is 1.500531858513048
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2841018125345401
the lambda is 0.4699097026941652
the regulation term lambda/alpha is 1.654018672045731
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2686944540380535
the lambda is 0.429427964497114
the regulation term lambda/alpha is 1.598201816388428
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30575114166290085
the lambda is 0.4448697415935035
the regulation term lambda/alpha is 1.4550059868099685
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34503063296310404
the lambda is 0.48990734129156305
the regulation term lambda/alpha is 1.419895204910549
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3056061261843749
the lambda is 0.5487247805574608
the regulation term lambda/alpha is 1.795529387478346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.309611800606395
the lambda is 0.4173594870364028
the regulation term lambda/alpha is 1.3480089784012654
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28878999080329887
the lambda is 0.4890137970307
the regulation term lambda/alpha is 1.6933197569294496
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26959012241247515
the lambda is 0.45585736640743385
the regulation term lambda/alpha is 1.690927554496853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.349700206751828
the lambda is 0.49708357064905173
the regulation term lambda/alpha is 1.4214563247365117
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.294536599583798
the lambda is 0.4932508995248067
the regulation term lambda/alpha is 1.6746675972419274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4144488869797236
the lambda is 0.48607764990012303
the regulation term lambda/alpha is 1.1728289426529543
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30950307428927387
the lambda is 0.5104758734472603
the regulation term lambda/alpha is 1.6493402355355904
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3523842634117049
the lambda is 0.4695241115819299
the regulation term lambda/alpha is 1.3324207699745256
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2510933769627401
the lambda is 0.559712271526237
the regulation term lambda/alpha is 2.2291000993199956
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3736348785120328
the lambda is 0.5249427904789317
the regulation term lambda/alpha is 1.4049619579667427
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3158118716737004
the lambda is 0.5104614139433009
the regulation term lambda/alpha is 1.6163465015992626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2965936121668874
the lambda is 0.6049633674170208
the regulation term lambda/alpha is 2.039704641638134
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34213812875713817
the lambda is 0.4437474324814432
the regulation term lambda/alpha is 1.2969832800962997
240
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3053106489198822
the lambda is 0.44332695421584645
the regulation term lambda/alpha is 1.4520520518502507
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2707777288430239
the lambda is 0.5099709308307449
the regulation term lambda/alpha is 1.8833562605379068
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35805981397315445
the lambda is 0.5191147980762904
the regulation term lambda/alpha is 1.4497991056745927
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33558705211108475
the lambda is 0.488835742801911
the regulation term lambda/alpha is 1.456658532344384
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.315564391096161
the lambda is 0.48665863562379275
the regulation term lambda/alpha is 1.542184889534937
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34046778239439396
the lambda is 0.5155832537715418
the regulation term lambda/alpha is 1.514337862295282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3260867865076027
the lambda is 0.5297171570641495
the regulation term lambda/alpha is 1.6244667952891712
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2859102970963967
the lambda is 0.4812430842774666
the regulation term lambda/alpha is 1.683196055422978
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30371118947148545
the lambda is 0.4264334550986004
the regulation term lambda/alpha is 1.4040755490131094
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2777968723064096
the lambda is 0.4382193120119554
the regulation term lambda/alpha is 1.5774810867150444
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35166940865253354
the lambda is 0.5088962474583014
the regulation term lambda/alpha is 1.447087050898748
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26730877669137065
the lambda is 0.49523686370195413
the regulation term lambda/alpha is 1.852677154232555
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3434984582707904
the lambda is 0.4652129646130505
the regulation term lambda/alpha is 1.354337853377813
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24706434169481276
the lambda is 0.5073704646086239
the regulation term lambda/alpha is 2.053596488785724
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36695203044741304
the lambda is 0.5076322412474837
the regulation term lambda/alpha is 1.3833749349432507
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.33921278050836573
the lambda is 0.5072290690761663
the regulation term lambda/alpha is 1.495312376839106
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30581083450526203
the lambda is 0.45004082827136505
the regulation term lambda/alpha is 1.4716314057330147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36286610621069837
the lambda is 0.4548621695609556
the regulation term lambda/alpha is 1.2535261954083958
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2657301820685486
the lambda is 0.44118208197769715
the regulation term lambda/alpha is 1.6602633488727616
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3274678386909997
the lambda is 0.4351060365259435
the regulation term lambda/alpha is 1.3286985319389233
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2437748540726588
the lambda is 0.4222456557605708
the regulation term lambda/alpha is 1.732113254120614
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32626013854644337
the lambda is 0.45668046898129044
the regulation term lambda/alpha is 1.3997433796721128
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3419002491469065
the lambda is 0.5414806978613317
the regulation term lambda/alpha is 1.5837388221050117
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3630447320672146
the lambda is 0.5357528277996665
the regulation term lambda/alpha is 1.475721255474591
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28112627981911203
the lambda is 0.4675780298850728
the regulation term lambda/alpha is 1.6632313072471607
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39324545941990113
the lambda is 0.5206010727792394
the regulation term lambda/alpha is 1.3238578102013125
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3259604919487967
the lambda is 0.6027905748899193
the regulation term lambda/alpha is 1.849274957483523
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38347184434420967
the lambda is 0.5412557688335422
the regulation term lambda/alpha is 1.4114615631277052
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26126193059217145
the lambda is 0.39956489807838325
the regulation term lambda/alpha is 1.5293651745309271
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3501104643332409
the lambda is 0.5419533770958002
the regulation term lambda/alpha is 1.5479496681937506
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2819551269343577
the lambda is 0.4490573233363346
the regulation term lambda/alpha is 1.5926552860337955
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2920295108371552
the lambda is 0.5207492915129602
the regulation term lambda/alpha is 1.783207765612929
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3416997462746507
the lambda is 0.5241908010561832
the regulation term lambda/alpha is 1.534068452701894
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2717950140107716
the lambda is 0.45710936245986394
the regulation term lambda/alpha is 1.681816585648433
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35778882058278516
the lambda is 0.4972237073760131
the regulation term lambda/alpha is 1.3897128103838157
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.3141222464061118
the lambda is 0.46572375960743684
the regulation term lambda/alpha is 1.4826194735833118
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23425862507767442
the lambda is 0.5042660984097529
the regulation term lambda/alpha is 2.152604192236468
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3521352739775671
the lambda is 0.5139579270861547
the regulation term lambda/alpha is 1.4595468419869138
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3754364383839285
the lambda is 0.49177475134813037
the regulation term lambda/alpha is 1.3098748578187611
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31348600910942315
the lambda is 0.4785887590069961
the regulation term lambda/alpha is 1.5266670444611241
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3709354806912609
the lambda is 0.5164690511874621
the regulation term lambda/alpha is 1.3923420057444775
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35613378826098685
the lambda is 0.5384028078653215
the regulation term lambda/alpha is 1.511799288953627
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.31008574568924513
the lambda is 0.5119743788681786
the regulation term lambda/alpha is 1.6510735691193552
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3707016598114212
the lambda is 0.5427576509694727
the regulation term lambda/alpha is 1.464136015052044
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40630474723443005
the lambda is 0.560882291607714
the regulation term lambda/alpha is 1.3804473007648508
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31103154980174325
the lambda is 0.4898091450637574
the regulation term lambda/alpha is 1.5747892629412354
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26420988971597326
the lambda is 0.5184600037272068
the regulation term lambda/alpha is 1.9623035469435057
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3968736996554902
the lambda is 0.5771185740009159
the regulation term lambda/alpha is 1.4541618013536521
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39675093570580217
the lambda is 0.559078881431855
the regulation term lambda/alpha is 1.409143195685925
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3544997099929345
the lambda is 0.5202912405004919
the regulation term lambda/alpha is 1.467677478525615
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29189513093458475
the lambda is 0.44634225074811795
the regulation term lambda/alpha is 1.5291185204735245
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36749842350366996
the lambda is 0.465384322882938
the regulation term lambda/alpha is 1.2663573314030572
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2986727668255634
the lambda is 0.446736854572282
the regulation term lambda/alpha is 1.495740168480757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31089612791488
the lambda is 0.4924285909042614
the regulation term lambda/alpha is 1.5839006880107653
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.339145564518472
the lambda is 0.47401008855788085
the regulation term lambda/alpha is 1.3976597017593113
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3244647789668455
the lambda is 0.46551950315971147
the regulation term lambda/alpha is 1.434730464865893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3415877666625388
the lambda is 0.5947202363394376
the regulation term lambda/alpha is 1.7410466485674039
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3443417091559243
the lambda is 0.5144966953589034
the regulation term lambda/alpha is 1.494145732795703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33556095319137763
the lambda is 0.5516408562360104
the regulation term lambda/alpha is 1.6439363727799337
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4579385988229405
the lambda is 0.5588491038701651
the regulation term lambda/alpha is 1.220358155671086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.317315620125556
the lambda is 0.5531341977291097
the regulation term lambda/alpha is 1.7431672525614863
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3283882519110187
the lambda is 0.43656303460823864
the regulation term lambda/alpha is 1.3294112443661088
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3222421660674719
the lambda is 0.42347540059921995
the regulation term lambda/alpha is 1.3141526627851414
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3826190661270515
the lambda is 0.5166965493253545
the regulation term lambda/alpha is 1.3504202876125926
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3371926328465815
the lambda is 0.6884505991485327
the regulation term lambda/alpha is 2.0417130508950625
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3072867110038966
the lambda is 0.5268966030879517
the regulation term lambda/alpha is 1.7146742251449667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3543418878495723
the lambda is 0.47328137173860746
the regulation term lambda/alpha is 1.335663064310162
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25023242204681523
the lambda is 0.5936471616541408
the regulation term lambda/alpha is 2.372383070100633
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3479951194778838
the lambda is 0.45454890825642574
the regulation term lambda/alpha is 1.3061933424193144
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.49959126071074744
the lambda is 0.5237868216842466
the regulation term lambda/alpha is 1.0484307130174317
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3648525308988592
the lambda is 0.5704013737091976
the regulation term lambda/alpha is 1.5633751321498126
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3669665315416175
the lambda is 0.5058262109596855
the regulation term lambda/alpha is 1.3783987570602743
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36513741606560407
the lambda is 0.4809822831265067
the regulation term lambda/alpha is 1.3172637532169227
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26324986227573255
the lambda is 0.5162366240004177
the regulation term lambda/alpha is 1.9610138426575978
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26893147818268487
the lambda is 0.49247541558817637
the regulation term lambda/alpha is 1.8312300922008033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2941908538861963
the lambda is 0.5120936000524295
the regulation term lambda/alpha is 1.7406849780942746
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37155665165755564
the lambda is 0.4737389516306389
the regulation term lambda/alpha is 1.2750113596869728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35166277042858585
the lambda is 0.48869444888694885
the regulation term lambda/alpha is 1.3896678579064734
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3227026974482055
the lambda is 0.49711523662263446
the regulation term lambda/alpha is 1.5404743764263777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28402028969035387
the lambda is 0.4492048347035559
the regulation term lambda/alpha is 1.5815941712942072
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3691833061251751
the lambda is 0.5326339686982164
the regulation term lambda/alpha is 1.4427357896773965
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28214058749886756
the lambda is 0.5693429623581777
the regulation term lambda/alpha is 2.017940656483757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2305623621198267
the lambda is 0.38156589711803024
the regulation term lambda/alpha is 1.654935756252032
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26085460327102405
the lambda is 0.47370834768270725
the regulation term lambda/alpha is 1.8159861537522162
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30568981703140125
the lambda is 0.5542117413905436
the regulation term lambda/alpha is 1.81298725215179
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3769989829773866
the lambda is 0.5511984025332889
the regulation term lambda/alpha is 1.4620686723877747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28510267698700426
the lambda is 0.41774775898327826
the regulation term lambda/alpha is 1.4652537233184952
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.289239572955108
the lambda is 0.4557613623078537
the regulation term lambda/alpha is 1.575722705062184
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41896241273784113
the lambda is 0.5044678883195048
the regulation term lambda/alpha is 1.2040886556455062
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29463509174514024
the lambda is 0.541999854589215
the regulation term lambda/alpha is 1.8395631402183605
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2700348289612814
the lambda is 0.41322406746381757
the regulation term lambda/alpha is 1.530262111199986
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2746041297546767
the lambda is 0.5168300788633944
the regulation term lambda/alpha is 1.882091428577987
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.35456189730559573
the lambda is 0.41498475979767646
the regulation term lambda/alpha is 1.1704155549461155
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3109591498507219
the lambda is 0.49800590441811016
the regulation term lambda/alpha is 1.6015155195053155
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3179940069410466
the lambda is 0.4680999484867732
the regulation term lambda/alpha is 1.4720401588371914
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3007720336650133
the lambda is 0.49404551052869355
the regulation term lambda/alpha is 1.6425912492879566
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30798354839256575
the lambda is 0.5091715416790962
the regulation term lambda/alpha is 1.6532426629168182
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25970292849745585
the lambda is 0.4038590923745802
the regulation term lambda/alpha is 1.55508101010319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40150801585723417
the lambda is 0.6146977514724702
the regulation term lambda/alpha is 1.5309725514696593
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3681736582497397
the lambda is 0.5973572276832144
the regulation term lambda/alpha is 1.6224876883451962
250
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2839972237629287
the lambda is 0.4629931158851496
the regulation term lambda/alpha is 1.6302733870090245
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36821221464270726
the lambda is 0.5931621502212673
the regulation term lambda/alpha is 1.6109246967725908
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3156278995338203
the lambda is 0.553964143652835
the regulation term lambda/alpha is 1.755117796845701
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.236314424813788
the lambda is 0.558088592994674
the regulation term lambda/alpha is 2.361635746249679
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3095413491828443
the lambda is 0.5598446823032582
the regulation term lambda/alpha is 1.8086264848983429
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23191019213001354
the lambda is 0.4099032894157307
the regulation term lambda/alpha is 1.767508731077807
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.30046121251343394
the lambda is 0.5448980024782585
the regulation term lambda/alpha is 1.813538585962724
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3132075013439897
the lambda is 0.5179493138581014
the regulation term lambda/alpha is 1.6536938343927072
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30422076095622314
the lambda is 0.49990392474823064
the regulation term lambda/alpha is 1.6432275140491348
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2780529854042861
the lambda is 0.4675626811387125
the regulation term lambda/alpha is 1.6815596511538309
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28682685692639115
the lambda is 0.4290687400115736
the regulation term lambda/alpha is 1.4959154962315337
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3159732157289253
the lambda is 0.48067635933250863
the regulation term lambda/alpha is 1.5212566616560401
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35378514418496426
the lambda is 0.48991599357987364
the regulation term lambda/alpha is 1.384783961770136
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2695058862814834
the lambda is 0.5394549679005306
the regulation term lambda/alpha is 2.0016444736835948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29201890803930175
the lambda is 0.48683815279515563
the regulation term lambda/alpha is 1.667145994291691
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3121768667922027
the lambda is 0.4442513519958479
the regulation term lambda/alpha is 1.4230758241659183
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2793410686705932
the lambda is 0.4509476409811933
the regulation term lambda/alpha is 1.614326325617961
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24960280379815428
the lambda is 0.5319546031389628
the regulation term lambda/alpha is 2.131204437788036
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35752508890842927
the lambda is 0.5035941630157097
the regulation term lambda/alpha is 1.408556150711684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215833454830501
the lambda is 0.4764738168824553
the regulation term lambda/alpha is 1.4816495430344638
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.367137534081175
the lambda is 0.5895896178085177
the regulation term lambda/alpha is 1.605909402001262
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27249978059488644
the lambda is 0.5006874456096829
the regulation term lambda/alpha is 1.837386600886968
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32106286110338045
the lambda is 0.3943761380737556
the regulation term lambda/alpha is 1.228345554258201
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36030319536052835
the lambda is 0.5391970461502004
the regulation term lambda/alpha is 1.49650919862275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32685104492012207
the lambda is 0.4177329678618982
the regulation term lambda/alpha is 1.278053028602024
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4746129800509357
the lambda is 0.586556418979078
the regulation term lambda/alpha is 1.2358625735775883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.250078037611098
the lambda is 0.5217551859696572
the regulation term lambda/alpha is 2.0863694827174326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.289207591326526
the lambda is 0.4857602728223051
the regulation term lambda/alpha is 1.6796249040152749
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3042361586100092
the lambda is 0.48649671319328536
the regulation term lambda/alpha is 1.5990759133167674
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3641185711697543
the lambda is 0.4997107842262444
the regulation term lambda/alpha is 1.3723847773567037
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.361088224334625
the lambda is 0.39949172776032077
the regulation term lambda/alpha is 1.1063549039752312
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3480031348257606
the lambda is 0.5468518601644111
the regulation term lambda/alpha is 1.5713992359241555
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36834741441683233
the lambda is 0.5261786051460506
the regulation term lambda/alpha is 1.4284845896885054
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26642381372139334
the lambda is 0.48235993285522466
the regulation term lambda/alpha is 1.8104985666170277
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3316402177113891
the lambda is 0.6243665091510179
the regulation term lambda/alpha is 1.8826622219093305
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3514564256486397
the lambda is 0.48714876801503015
the regulation term lambda/alpha is 1.386085820215009
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3246195865965656
the lambda is 0.5531804722835754
the regulation term lambda/alpha is 1.704088401083029
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27046210074425
the lambda is 0.407207410033756
the regulation term lambda/alpha is 1.5055987841298804
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4006544024676416
the lambda is 0.6264677613332191
the regulation term lambda/alpha is 1.5636113255583535
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36001629579311495
the lambda is 0.4357303707184266
the regulation term lambda/alpha is 1.2103073550004555
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22012457106099528
the lambda is 0.390032461333343
the regulation term lambda/alpha is 1.7718715337110968
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2774105196731988
the lambda is 0.5261806222566551
the regulation term lambda/alpha is 1.896757999215451
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3513143719151444
the lambda is 0.5102474703714377
the regulation term lambda/alpha is 1.452395663718197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42438746236224434
the lambda is 0.5213698240488882
the regulation term lambda/alpha is 1.228523154635192
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3072282340583352
the lambda is 0.543017637524755
the regulation term lambda/alpha is 1.767473094356455
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.321775811877815
the lambda is 0.5180007382732008
the regulation term lambda/alpha is 1.6098187593724307
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2885360133781892
the lambda is 0.5353905675710742
the regulation term lambda/alpha is 1.8555415710597223
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30407933472723697
the lambda is 0.4271679991262756
the regulation term lambda/alpha is 1.404791284187236
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909361086393575
the lambda is 0.4561093943609501
the regulation term lambda/alpha is 1.5677304425843557
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909208144158478
the lambda is 0.5521918081336356
the regulation term lambda/alpha is 1.8980828485662151
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2798623497947265
the lambda is 0.4720533258409668
the regulation term lambda/alpha is 1.6867339468392535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39186585480221714
the lambda is 0.5079332370132239
the regulation term lambda/alpha is 1.2961916196285803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3645485333489362
the lambda is 0.6360036084563918
the regulation term lambda/alpha is 1.7446335680292697
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2787240207852332
the lambda is 0.48836172113638354
the regulation term lambda/alpha is 1.7521335970992027
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34044453624740334
the lambda is 0.5462108799919311
the regulation term lambda/alpha is 1.6044048937093116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38214976997490935
the lambda is 0.4852368460065276
the regulation term lambda/alpha is 1.2697556930058773
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33053225819563764
the lambda is 0.5588695734613209
the regulation term lambda/alpha is 1.6908170370788242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3257701235007334
the lambda is 0.5219257154792839
the regulation term lambda/alpha is 1.6021288566018819
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30409247885225793
the lambda is 0.4840938862315323
the regulation term lambda/alpha is 1.5919298236465997
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30184309168859486
the lambda is 0.5359510219118971
the regulation term lambda/alpha is 1.7755947930218874
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30427429356273805
the lambda is 0.5119363393659597
the regulation term lambda/alpha is 1.6824830430849527
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3269554378222396
the lambda is 0.5159691009290512
the regulation term lambda/alpha is 1.5781022159037321
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2876884626341041
the lambda is 0.39125675691648454
the regulation term lambda/alpha is 1.3600015563158108
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2688922625214771
the lambda is 0.48027545230877017
the regulation term lambda/alpha is 1.7861259666049685
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.40038640473912973
the lambda is 0.49052348534977075
the regulation term lambda/alpha is 1.2251252278892175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33995255075360875
the lambda is 0.5028920336365145
the regulation term lambda/alpha is 1.4793006627592602
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34008125245458337
the lambda is 0.46449131787039954
the regulation term lambda/alpha is 1.3658245331604413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2513445175839568
the lambda is 0.5081606938384607
the regulation term lambda/alpha is 2.021769556476279
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33472123002829735
the lambda is 0.4570304190630127
the regulation term lambda/alpha is 1.3654061292269253
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3561053177528324
the lambda is 0.5312326376085745
the regulation term lambda/alpha is 1.4917851858008353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3663268943939801
the lambda is 0.5758536212131151
the regulation term lambda/alpha is 1.5719665414295014
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29956488550950766
the lambda is 0.4609006922540606
the regulation term lambda/alpha is 1.5385671503859635
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3733029900491986
the lambda is 0.5476723845005053
the regulation term lambda/alpha is 1.4670988422255231
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35600853019048356
the lambda is 0.5209315952362008
the regulation term lambda/alpha is 1.4632559364728552
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4021761625442519
the lambda is 0.565777909152576
the regulation term lambda/alpha is 1.4067912567799759
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33312449602610167
the lambda is 0.5923071867596934
the regulation term lambda/alpha is 1.7780355207300147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2912805585815925
the lambda is 0.469884068923165
the regulation term lambda/alpha is 1.6131666020255266
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2540873828300812
the lambda is 0.3674634402087783
the regulation term lambda/alpha is 1.4462089227567683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3750816931204887
the lambda is 0.5388233009847746
the regulation term lambda/alpha is 1.4365491861307307
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3108393415091971
the lambda is 0.589869692891169
the regulation term lambda/alpha is 1.8976674253240107
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34284772072445535
the lambda is 0.5069738318784616
the regulation term lambda/alpha is 1.478714313186038
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33918662016156254
the lambda is 0.581700564946993
the regulation term lambda/alpha is 1.7149867664883578
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36131423373120575
the lambda is 0.5660642780632845
the regulation term lambda/alpha is 1.5666813682308445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3919774205589814
the lambda is 0.5578083733962496
the regulation term lambda/alpha is 1.4230625136539348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32104642479335765
the lambda is 0.48871203582632533
the regulation term lambda/alpha is 1.5222472455218465
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3572339294459747
the lambda is 0.5249464682077495
the regulation term lambda/alpha is 1.4694753911586058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30107873743551045
the lambda is 0.46957026370310456
the regulation term lambda/alpha is 1.5596261220661063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3421331232628933
the lambda is 0.47591233320292875
the regulation term lambda/alpha is 1.391015078178327
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3237590678923939
the lambda is 0.49261935071776375
the regulation term lambda/alpha is 1.5215615547839823
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3089549920646305
the lambda is 0.4825907404068056
the regulation term lambda/alpha is 1.562009848689715
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3270265769304817
the lambda is 0.5050920147632322
the regulation term lambda/alpha is 1.544498369227658
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2911385550295575
the lambda is 0.5388641802725904
the regulation term lambda/alpha is 1.85088567269245
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31141214151235214
the lambda is 0.6371425818098428
the regulation term lambda/alpha is 2.045978614435528
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36427602064541204
the lambda is 0.517073402218438
the regulation term lambda/alpha is 1.4194549542467954
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3185196657498412
the lambda is 0.49404772889490095
the regulation term lambda/alpha is 1.551074492470791
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3423661576254833
the lambda is 0.5218179277886787
the regulation term lambda/alpha is 1.5241516025059316
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2596646361124736
the lambda is 0.4833887160792936
the regulation term lambda/alpha is 1.8615885602146998
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3700422435627406
the lambda is 0.5851558233406393
the regulation term lambda/alpha is 1.5813216829159835
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2677956704588236
the lambda is 0.46256234957725545
the regulation term lambda/alpha is 1.7272958475569504
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27832417216032806
the lambda is 0.46465054133718153
the regulation term lambda/alpha is 1.6694580917302453
260
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34979289152482
the lambda is 0.5733972257792542
the regulation term lambda/alpha is 1.639247793972303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41333142205580053
the lambda is 0.5244720797549094
the regulation term lambda/alpha is 1.2688899313445003
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27033431597863006
the lambda is 0.5140494697646011
the regulation term lambda/alpha is 1.9015324336597974
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34918191554707834
the lambda is 0.4639598474998532
the regulation term lambda/alpha is 1.328705258899068
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2676836258334316
the lambda is 0.43085043576220655
the regulation term lambda/alpha is 1.6095509556132017
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3297494947006156
the lambda is 0.514424565768464
the regulation term lambda/alpha is 1.5600465627264042
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.25107973087673646
the lambda is 0.4871539577730186
the regulation term lambda/alpha is 1.9402360997916595
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33619305337551814
the lambda is 0.48763278061818394
the regulation term lambda/alpha is 1.4504546590780147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35141713286569387
the lambda is 0.5134131775698201
the regulation term lambda/alpha is 1.4609793591538935
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3305465351675986
the lambda is 0.4913700192379888
the regulation term lambda/alpha is 1.48653810268756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4166415153897846
the lambda is 0.5409875627935309
the regulation term lambda/alpha is 1.2984485290368042
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25524574125077654
the lambda is 0.494265556840333
the regulation term lambda/alpha is 1.9364301806497988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3008004879574257
the lambda is 0.4048302384357039
the regulation term lambda/alpha is 1.3458430243404467
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34449317927312223
the lambda is 0.5740041408505749
the regulation term lambda/alpha is 1.6662278831230242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3111429316023929
the lambda is 0.5912987252339459
the regulation term lambda/alpha is 1.9004086713098205
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29768997330738567
the lambda is 0.49822673974833914
the regulation term lambda/alpha is 1.6736429991677457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27996376922089755
the lambda is 0.5616504795218933
the regulation term lambda/alpha is 2.0061541573214736
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4173726154367814
the lambda is 0.6155858573040796
the regulation term lambda/alpha is 1.4749071561867266
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33379804956921455
the lambda is 0.4540571108370563
the regulation term lambda/alpha is 1.3602749070075242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3913285476527521
the lambda is 0.5461612235694774
the regulation term lambda/alpha is 1.3956590359825143
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36766894142548573
the lambda is 0.5124273520290769
the regulation term lambda/alpha is 1.3937194423938821
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33395291838779695
the lambda is 0.5327101928867187
the regulation term lambda/alpha is 1.5951655564456495
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25583343873444825
the lambda is 0.5258504183191124
the regulation term lambda/alpha is 2.055440527713573
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30745689484128574
the lambda is 0.40157272468172583
the regulation term lambda/alpha is 1.3061106497189605
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32507031160220823
the lambda is 0.4127911917281814
the regulation term lambda/alpha is 1.269852019686492
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.41304796905646707
the lambda is 0.5529027553650839
the regulation term lambda/alpha is 1.3385921171046784
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28688067910745596
the lambda is 0.4736149175302043
the regulation term lambda/alpha is 1.65091256407966
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2576527594802697
the lambda is 0.5542351580201342
the regulation term lambda/alpha is 2.15109342953719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3391114917520621
the lambda is 0.5200801231876557
the regulation term lambda/alpha is 1.5336552604000426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3137758301235071
the lambda is 0.4211069902752116
the regulation term lambda/alpha is 1.3420631860314327
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2584732517925856
the lambda is 0.4361221204346976
the regulation term lambda/alpha is 1.6873007841626415
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2950003082798512
the lambda is 0.46743592038144216
the regulation term lambda/alpha is 1.5845268878092509
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27901231997618736
the lambda is 0.4644213273648619
the regulation term lambda/alpha is 1.6645190699984092
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29302963055873515
the lambda is 0.41096793947755483
the regulation term lambda/alpha is 1.4024791236774945
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31390373879244465
the lambda is 0.5912633936554674
the regulation term lambda/alpha is 1.8835818774570727
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3074731079769864
the lambda is 0.47778522876173996
the regulation term lambda/alpha is 1.5539089968072948
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24455609998591674
the lambda is 0.44959400111341485
the regulation term lambda/alpha is 1.8384084516366823
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2685997996655394
the lambda is 0.4904919225130319
the regulation term lambda/alpha is 1.826106806943984
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2718667980061553
the lambda is 0.43534844723554766
the regulation term lambda/alpha is 1.6013299543318673
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.22513909913321875
the lambda is 0.44879552029221137
the regulation term lambda/alpha is 1.9934143914587275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2844393269050091
the lambda is 0.5026765710682339
the regulation term lambda/alpha is 1.767254115448343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28136676756993134
the lambda is 0.5480299926671811
the regulation term lambda/alpha is 1.9477424338358398
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.277996219794938
the lambda is 0.4487869206899952
the regulation term lambda/alpha is 1.6143633932182235
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27727590169296856
the lambda is 0.5526006359594675
the regulation term lambda/alpha is 1.9929630832879586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26313093847743263
the lambda is 0.4727807622353191
the regulation term lambda/alpha is 1.796750944495518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2964860942621981
the lambda is 0.5924059133360748
the regulation term lambda/alpha is 1.9980900446959224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3003727907329487
the lambda is 0.48792245240182275
the regulation term lambda/alpha is 1.6243896499787096
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3234259355444011
the lambda is 0.4861757306280786
the regulation term lambda/alpha is 1.5032057642802572
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3480882410681945
the lambda is 0.6713746590387412
the regulation term lambda/alpha is 1.9287484603859717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3888478593648942
the lambda is 0.5488321067125229
the regulation term lambda/alpha is 1.4114314724759736
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.47479751069721016
the lambda is 0.5735464031440222
the regulation term lambda/alpha is 1.207981066079739
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3280263265544581
the lambda is 0.4647120390149994
the regulation term lambda/alpha is 1.4166912878495717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3527310125878022
the lambda is 0.49135825243367304
the regulation term lambda/alpha is 1.3930112037181974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3167338625517163
the lambda is 0.4699007431283202
the regulation term lambda/alpha is 1.4835822710670692
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3063658750823264
the lambda is 0.4337603940099982
the regulation term lambda/alpha is 1.4158247679949292
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34141263270771993
the lambda is 0.4743561301891577
the regulation term lambda/alpha is 1.3893924381973568
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29521054891390347
the lambda is 0.47342166979973144
the regulation term lambda/alpha is 1.6036746367684924
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3536982943920497
the lambda is 0.48957986425555944
the regulation term lambda/alpha is 1.3841736644420868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29816513648887366
the lambda is 0.49158895177469986
the regulation term lambda/alpha is 1.6487137214080159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3610382964544112
the lambda is 0.4773015142483774
the regulation term lambda/alpha is 1.3220246132771316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33484418021658074
the lambda is 0.5145324374241503
the regulation term lambda/alpha is 1.5366324631694221
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.26970700535022096
the lambda is 0.4676222141716
the regulation term lambda/alpha is 1.7338156032112753
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35755890134039614
the lambda is 0.525278502370655
the regulation term lambda/alpha is 1.4690684539009413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31521112765536563
the lambda is 0.570756845540516
the regulation term lambda/alpha is 1.810712869770733
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3340597017734183
the lambda is 0.5181823814006967
the regulation term lambda/alpha is 1.5511669879660095
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3426603373641706
the lambda is 0.42084482992580013
the regulation term lambda/alpha is 1.2281690760099178
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35751683006015295
the lambda is 0.47621203454407446
the regulation term lambda/alpha is 1.3319989284531046
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27031682655784095
the lambda is 0.5240867530867709
the regulation term lambda/alpha is 1.9387870143356747
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.27292167583218735
the lambda is 0.4626998145185879
the regulation term lambda/alpha is 1.6953575164293302
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.352334603122578
the lambda is 0.46437584247075503
the regulation term lambda/alpha is 1.3179966950597741
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36460308408310316
the lambda is 0.47585731252895225
the regulation term lambda/alpha is 1.3051379247809411
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33895597414561013
the lambda is 0.5474242309970395
the regulation term lambda/alpha is 1.615030484052996
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4082762468953094
the lambda is 0.5549767936809819
the regulation term lambda/alpha is 1.359316878954483
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29999057474535207
the lambda is 0.5037347712752543
the regulation term lambda/alpha is 1.679168659558225
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42480649264092285
the lambda is 0.5529296997063513
the regulation term lambda/alpha is 1.3016036931754889
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24895246118730724
the lambda is 0.4724242839939624
the regulation term lambda/alpha is 1.8976485781296177
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2024976020187246
the lambda is 0.44599332060659547
the regulation term lambda/alpha is 2.2024622324434007
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.32587030306585757
the lambda is 0.48061952806886155
the regulation term lambda/alpha is 1.4748798020166003
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26812564374422515
the lambda is 0.431725301524906
the regulation term lambda/alpha is 1.6101604288799192
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3109387458868938
the lambda is 0.54585127878233
the regulation term lambda/alpha is 1.7554945660612116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3373022134899871
the lambda is 0.5030723106727143
the regulation term lambda/alpha is 1.4914586698603094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35523408977996906
the lambda is 0.536484675218872
the regulation term lambda/alpha is 1.5102285806837092
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31102501887020634
the lambda is 0.4689792021684211
the regulation term lambda/alpha is 1.5078504098222738
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3439287740838169
the lambda is 0.5301380699095137
the regulation term lambda/alpha is 1.54141819428088
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2561032840269559
the lambda is 0.44404184922744616
the regulation term lambda/alpha is 1.7338389506192702
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2880001869608369
the lambda is 0.42367292670053336
the regulation term lambda/alpha is 1.471085596059511
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3957232555854647
the lambda is 0.5604966159216743
the regulation term lambda/alpha is 1.4163853349796962
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35063850849924616
the lambda is 0.45560230850005756
the regulation term lambda/alpha is 1.2993504633876718
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3095954539543113
the lambda is 0.4574588511029053
the regulation term lambda/alpha is 1.4776019649513814
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40345900578545085
the lambda is 0.48738463949255706
the regulation term lambda/alpha is 1.2080152692185429
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3360629766830536
the lambda is 0.47979571199927207
the regulation term lambda/alpha is 1.4276958346761746
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4309440801719286
the lambda is 0.5501590941353242
the regulation term lambda/alpha is 1.2766368525490217
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3141962971427299
the lambda is 0.5294308819220856
the regulation term lambda/alpha is 1.6850322130995108
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3323932155242088
the lambda is 0.5365056763773242
the regulation term lambda/alpha is 1.6140692749435779
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3298193569363605
the lambda is 0.4653642294043189
the regulation term lambda/alpha is 1.410967002443438
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27390447480159325
the lambda is 0.4553272420400343
the regulation term lambda/alpha is 1.662357806931987
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3154090491721413
the lambda is 0.5251095587853764
the regulation term lambda/alpha is 1.6648525467599582
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3546450493131348
the lambda is 0.6297316406562234
the regulation term lambda/alpha is 1.7756673662183289
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33110974386045083
the lambda is 0.506266558714903
the regulation term lambda/alpha is 1.5289992762287103
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2441962067268288
the lambda is 0.5098583937565504
the regulation term lambda/alpha is 2.087904642707681
270
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3050272662280192
the lambda is 0.5267080414284774
the regulation term lambda/alpha is 1.726757243513908
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3529478638702772
the lambda is 0.4730955251149328
the regulation term lambda/alpha is 1.3404119235265148
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3019369877428759
the lambda is 0.536684273384958
the regulation term lambda/alpha is 1.7774711120917344
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33436596542010805
the lambda is 0.4019359586712291
the regulation term lambda/alpha is 1.202083944656939
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38999899050014225
the lambda is 0.4783755286675558
the regulation term lambda/alpha is 1.2266070946852394
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32896159631996863
the lambda is 0.4604175250425903
the regulation term lambda/alpha is 1.3996087391148218
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2937056278285821
the lambda is 0.5293919026237459
the regulation term lambda/alpha is 1.802457469193336
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3319486407859377
the lambda is 0.5379814954241381
the regulation term lambda/alpha is 1.6206769039643814
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35877356912554836
the lambda is 0.4840537479256023
the regulation term lambda/alpha is 1.3491901008912217
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.346286588090939
the lambda is 0.5146306362847597
the regulation term lambda/alpha is 1.4861408266542842
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3881439428713797
the lambda is 0.5031383797308369
the regulation term lambda/alpha is 1.2962675032586124
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34545823772860673
the lambda is 0.45202814316364615
the regulation term lambda/alpha is 1.3084885343471275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29172158711475377
the lambda is 0.6141060183345879
the regulation term lambda/alpha is 2.105109959150944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3285470839167197
the lambda is 0.5804732284252038
the regulation term lambda/alpha is 1.7667885573817554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31942318633084893
the lambda is 0.4487917854173503
the regulation term lambda/alpha is 1.4050069144088535
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.323627326076822
the lambda is 0.468011077399832
the regulation term lambda/alpha is 1.4461420272302237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3212847895607666
the lambda is 0.4791419600957622
the regulation term lambda/alpha is 1.4913309800653949
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34206048238166337
the lambda is 0.5141226372721998
the regulation term lambda/alpha is 1.5030167580087586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34920314292854376
the lambda is 0.5624840597596032
the regulation term lambda/alpha is 1.6107645969117248
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39518954907830406
the lambda is 0.5730816974608632
the regulation term lambda/alpha is 1.4501438583015542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33424924319268057
the lambda is 0.5484638954753798
the regulation term lambda/alpha is 1.640882983717673
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3071277896187652
the lambda is 0.4574685149472835
the regulation term lambda/alpha is 1.4895054449977805
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3203338302585985
the lambda is 0.46336230162791653
the regulation term lambda/alpha is 1.4464981773977923
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32036769613218996
the lambda is 0.48900811459061394
the regulation term lambda/alpha is 1.5263964516223871
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3139892077609638
the lambda is 0.46792616401733195
the regulation term lambda/alpha is 1.4902619340138548
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3583177037945736
the lambda is 0.6196772098318677
the regulation term lambda/alpha is 1.7294071804700266
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28987548295639487
the lambda is 0.42242136252929713
the regulation term lambda/alpha is 1.4572510866427457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23371569003124937
the lambda is 0.44737308926030234
the regulation term lambda/alpha is 1.914176533036723
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28979620603234363
the lambda is 0.4927889006608746
the regulation term lambda/alpha is 1.7004670537538897
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2914678925401712
the lambda is 0.4481025977338919
the regulation term lambda/alpha is 1.5373995187896474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35443643348283105
the lambda is 0.5208401862622393
the regulation term lambda/alpha is 1.4694882835386303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3647664754575794
the lambda is 0.5053252123744566
the regulation term lambda/alpha is 1.3853389671859346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2914683042632205
the lambda is 0.5613872439248874
the regulation term lambda/alpha is 1.9260661818580014
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2525857653521968
the lambda is 0.4237720706396622
the regulation term lambda/alpha is 1.6777353626748095
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34871825779701277
the lambda is 0.4515244827321423
the regulation term lambda/alpha is 1.2948117072636114
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.323454085117
the lambda is 0.4927228816421131
the regulation term lambda/alpha is 1.5233163045811744
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2981012935422062
the lambda is 0.4751625448249516
the regulation term lambda/alpha is 1.5939633779471556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3230592567059959
the lambda is 0.5042660278786938
the regulation term lambda/alpha is 1.5609087726515987
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37330535464870535
the lambda is 0.4986691427304826
the regulation term lambda/alpha is 1.3358210283368406
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2821759320118392
the lambda is 0.5417148010824201
the regulation term lambda/alpha is 1.9197767762124072
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2659673928221223
the lambda is 0.5582415141308347
the regulation term lambda/alpha is 2.098909600186155
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.384483608160882
the lambda is 0.5106094455472774
the regulation term lambda/alpha is 1.328039569722358
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3366113957289845
the lambda is 0.5073704728784584
the regulation term lambda/alpha is 1.5072884617577145
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28900542913692623
the lambda is 0.4427181937648972
the regulation term lambda/alpha is 1.5318680866550236
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30160243863440905
the lambda is 0.47227869236861253
the regulation term lambda/alpha is 1.5658981223991053
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3992954288268366
the lambda is 0.5362432821018168
the regulation term lambda/alpha is 1.342973756742832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34520896174764615
the lambda is 0.5608990916668409
the regulation term lambda/alpha is 1.6248103433562309
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31928218669692165
the lambda is 0.495886608459888
the regulation term lambda/alpha is 1.5531295797927116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2816211832149904
the lambda is 0.5003883435275682
the regulation term lambda/alpha is 1.7768135827537175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37731016136616846
the lambda is 0.5211046528470127
the regulation term lambda/alpha is 1.3811042113474805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41973007631995163
the lambda is 0.5946516035349902
the regulation term lambda/alpha is 1.4167476601836355
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35392152313399966
the lambda is 0.49586107447052374
the regulation term lambda/alpha is 1.401048091338553
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3557558046058796
the lambda is 0.4800492684348082
the regulation term lambda/alpha is 1.349378596834494
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2881242522034903
the lambda is 0.612683082597201
the regulation term lambda/alpha is 2.126454395669852
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3300516886897143
the lambda is 0.44135159014264297
the regulation term lambda/alpha is 1.3372196091308688
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43173272401146673
the lambda is 0.5967977019541502
the regulation term lambda/alpha is 1.3823314026534141
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4183394492098452
the lambda is 0.523189941172538
the regulation term lambda/alpha is 1.2506349620164514
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.37842430477847977
the lambda is 0.426359076144058
the regulation term lambda/alpha is 1.1266693781564534
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3092415944696962
the lambda is 0.38707669200519085
the regulation term lambda/alpha is 1.2516967281486515
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3161146110220479
the lambda is 0.5018776309774443
the regulation term lambda/alpha is 1.5876445234682306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32093599932288264
the lambda is 0.5301298833539236
the regulation term lambda/alpha is 1.651824302890304
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3280174868533748
the lambda is 0.4954458537044822
the regulation term lambda/alpha is 1.5104251253712841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36204258502596165
the lambda is 0.5797629359739643
the regulation term lambda/alpha is 1.6013666898671333
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138916160225229
the lambda is 0.5832667403892046
the regulation term lambda/alpha is 1.8581787808800634
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3037398180876831
the lambda is 0.47360782299330717
the regulation term lambda/alpha is 1.5592549767597046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039365019104401
the lambda is 0.529679313328866
the regulation term lambda/alpha is 1.7427301755448403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3490968189192555
the lambda is 0.5588055426685585
the regulation term lambda/alpha is 1.6007179452351519
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3549640511756352
the lambda is 0.3876930995305071
the regulation term lambda/alpha is 1.092203839364786
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26074014256069733
the lambda is 0.43429585412012556
the regulation term lambda/alpha is 1.6656271253630477
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.286736195719623
the lambda is 0.46923070983063314
the regulation term lambda/alpha is 1.6364544024621759
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29314566838367
the lambda is 0.5570183074527673
the regulation term lambda/alpha is 1.9001416958470623
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2893706988360715
the lambda is 0.5088803692028839
the regulation term lambda/alpha is 1.7585760108046207
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37800009398243595
the lambda is 0.5293497722707097
the regulation term lambda/alpha is 1.4003958747568626
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42718689367541934
the lambda is 0.485882590226099
the regulation term lambda/alpha is 1.1374005088163524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3363924580284171
the lambda is 0.5358548092273991
the regulation term lambda/alpha is 1.5929453721050197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26729266895293197
the lambda is 0.3869772461484445
the regulation term lambda/alpha is 1.4477660298890875
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.338605529561756
the lambda is 0.6066278073334299
the regulation term lambda/alpha is 1.7915472559428216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33577724954064386
the lambda is 0.5734957807779386
the regulation term lambda/alpha is 1.7079649725003787
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3165504018069476
the lambda is 0.510031158371031
the regulation term lambda/alpha is 1.6112162722259948
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3212599558571548
the lambda is 0.402593159854093
the regulation term lambda/alpha is 1.2531694427334799
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2933020232982832
the lambda is 0.5031564141470997
the regulation term lambda/alpha is 1.7154890664882938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3132667445271097
the lambda is 0.45155290789052216
the regulation term lambda/alpha is 1.4414326313894623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3760152517938731
the lambda is 0.5761834041319811
the regulation term lambda/alpha is 1.5323405138040458
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31570431238861146
the lambda is 0.5496874844140569
the regulation term lambda/alpha is 1.7411465819238712
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35490326975059916
the lambda is 0.5527136091996157
the regulation term lambda/alpha is 1.5573640941319689
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3209217815616348
the lambda is 0.49607402350843016
the regulation term lambda/alpha is 1.545778604040176
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2877957579579123
the lambda is 0.41818635892699807
the regulation term lambda/alpha is 1.4530664450869157
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3174796727620904
the lambda is 0.5673868646344113
the regulation term lambda/alpha is 1.7871596619024923
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28732626168592174
the lambda is 0.4796146971728414
the regulation term lambda/alpha is 1.6692337635921057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3750896085182672
the lambda is 0.5458462367974267
the regulation term lambda/alpha is 1.4552422258609266
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33095852518189295
the lambda is 0.48211221295118156
the regulation term lambda/alpha is 1.4567148940678152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3861643598577031
the lambda is 0.5694259648418193
the regulation term lambda/alpha is 1.4745689246196771
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29311690516892397
the lambda is 0.43397131207833944
the regulation term lambda/alpha is 1.4805400317263884
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3543937364689201
the lambda is 0.45837756265565666
the regulation term lambda/alpha is 1.2934132731091759
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3382991054496797
the lambda is 0.46447867918646263
the regulation term lambda/alpha is 1.3729822861017038
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4263714568994198
the lambda is 0.5566535921547252
the regulation term lambda/alpha is 1.305560170942772
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38021537266522387
the lambda is 0.5062328013782301
the regulation term lambda/alpha is 1.3314369638177765
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29511154686731494
the lambda is 0.44702744565873875
the regulation term lambda/alpha is 1.5147744993513477
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28247055403563054
the lambda is 0.4158650356823565
the regulation term lambda/alpha is 1.4722420788324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30481141074245466
the lambda is 0.5594817098253857
the regulation term lambda/alpha is 1.8355011987989862
280
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3159665993435503
the lambda is 0.5303971976149672
the regulation term lambda/alpha is 1.678649574723772
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29764575090444645
the lambda is 0.47974156423770264
the regulation term lambda/alpha is 1.6117870414072015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37409424978692934
the lambda is 0.5876934374380376
the regulation term lambda/alpha is 1.5709769336811958
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3189711216697099
the lambda is 0.4714834842273297
the regulation term lambda/alpha is 1.478138465197938
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3077399039590204
the lambda is 0.5287373341414988
the regulation term lambda/alpha is 1.7181305620083223
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3041735077869269
the lambda is 0.4617043532208889
the regulation term lambda/alpha is 1.5178979805970219
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2875455617284616
the lambda is 0.46157767089323964
the regulation term lambda/alpha is 1.6052331606812353
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3830997235335252
the lambda is 0.5347150584798693
the regulation term lambda/alpha is 1.3957594475608548
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2976570375806464
the lambda is 0.4409079896814413
the regulation term lambda/alpha is 1.4812617677886515
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3104643270109803
the lambda is 0.42851692707740063
the regulation term lambda/alpha is 1.3802452964660417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32444103443453076
the lambda is 0.48991183105594377
the regulation term lambda/alpha is 1.5100180897580127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30286799392333424
the lambda is 0.47123074980475255
the regulation term lambda/alpha is 1.55589484283386
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25538338714474795
the lambda is 0.4897924508548429
the regulation term lambda/alpha is 1.9178712301173881
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23439151632549177
the lambda is 0.41671493573109586
the regulation term lambda/alpha is 1.777858440714286
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3349590452061852
the lambda is 0.4798966416704945
the regulation term lambda/alpha is 1.4327024409061486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3532130439617827
the lambda is 0.5459930638662003
the regulation term lambda/alpha is 1.5457896394258763
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28150826653882016
the lambda is 0.49130467697694385
the regulation term lambda/alpha is 1.7452584359869683
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35436976847414475
the lambda is 0.46167711894285485
the regulation term lambda/alpha is 1.3028118084981037
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2187643725708243
the lambda is 0.45930110662301427
the regulation term lambda/alpha is 2.0995242562831704
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24118932105164065
the lambda is 0.4463950818298606
the regulation term lambda/alpha is 1.8508078213557544
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3156439131663962
the lambda is 0.42762906973188447
the regulation term lambda/alpha is 1.3547831968058694
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2826720981841717
the lambda is 0.41907631180399924
the regulation term lambda/alpha is 1.4825528041007958
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3104768693463737
the lambda is 0.5339824328424637
the regulation term lambda/alpha is 1.7198783083796916
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33998798972674626
the lambda is 0.600151560807648
the regulation term lambda/alpha is 1.765214004441743
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3595785970761317
the lambda is 0.5555978086010676
the regulation term lambda/alpha is 1.5451359261058402
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2862300521148711
the lambda is 0.48117090705828514
the regulation term lambda/alpha is 1.681063548369755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34725765238058975
the lambda is 0.5010149442444567
the regulation term lambda/alpha is 1.4427758202297325
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33194375585462543
the lambda is 0.48292964758107965
the regulation term lambda/alpha is 1.4548538391322485
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32981438610060754
the lambda is 0.48169568231595844
the regulation term lambda/alpha is 1.4605053709483145
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37423632497139253
the lambda is 0.5387416470795577
the regulation term lambda/alpha is 1.4395760409434877
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.400627481358649
the lambda is 0.5594086612831078
the regulation term lambda/alpha is 1.3963312236743814
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35168351527302527
the lambda is 0.5231921097289249
the regulation term lambda/alpha is 1.4876787992827898
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3596315583296212
the lambda is 0.5680854413679198
the regulation term lambda/alpha is 1.579631787617592
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3468689111375265
the lambda is 0.5284045617146259
the regulation term lambda/alpha is 1.523355206385516
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23754449756059606
the lambda is 0.3728001923653955
the regulation term lambda/alpha is 1.5693909822949976
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34337633127816036
the lambda is 0.5506944262045473
the regulation term lambda/alpha is 1.6037634980683741
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.264952103006135
the lambda is 0.4240968574211468
the regulation term lambda/alpha is 1.600654807451469
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3000459829556937
the lambda is 0.4048514653534728
the regulation term lambda/alpha is 1.3492980688005252
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3870370868569661
the lambda is 0.557258094708432
the regulation term lambda/alpha is 1.4398054182191926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3898598078888122
the lambda is 0.5427054459842691
the regulation term lambda/alpha is 1.3920528225855187
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3468460353709923
the lambda is 0.5123851752966849
the regulation term lambda/alpha is 1.477269805747179
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30134705774958287
the lambda is 0.5808842482833767
the regulation term lambda/alpha is 1.927625418417349
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.268841596733665
the lambda is 0.44799786215817294
the regulation term lambda/alpha is 1.666400838267576
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26628147081861536
the lambda is 0.5235124646912257
the regulation term lambda/alpha is 1.96601161576064
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3343154647497213
the lambda is 0.47886656742178474
the regulation term lambda/alpha is 1.43237934799181
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3170738720193529
the lambda is 0.4539686515587047
the regulation term lambda/alpha is 1.431744119020303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25467530173182995
the lambda is 0.44077026243966927
the regulation term lambda/alpha is 1.730714597930643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2423131573480636
the lambda is 0.4472463497399775
the regulation term lambda/alpha is 1.8457369572282187
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3076959653788591
the lambda is 0.4652950594178516
the regulation term lambda/alpha is 1.5121909669661877
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3481978408958266
the lambda is 0.5266235348680404
the regulation term lambda/alpha is 1.5124261928596936
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30649566748825335
the lambda is 0.5512340121641266
the regulation term lambda/alpha is 1.7985050708269898
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3339915061460464
the lambda is 0.46134573970774284
the regulation term lambda/alpha is 1.3813097974593627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32959299628438965
the lambda is 0.5688850637387741
the regulation term lambda/alpha is 1.7260229135691678
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2855717584191414
the lambda is 0.5576220205811968
the regulation term lambda/alpha is 1.9526511433345586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26783666181029164
the lambda is 0.49665198452938236
the regulation term lambda/alpha is 1.8543091941653616
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3345743416606515
the lambda is 0.4779356129668695
the regulation term lambda/alpha is 1.4284885403783443
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3128390254948413
the lambda is 0.5091665769183416
the regulation term lambda/alpha is 1.6275673283183067
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3173389320665468
the lambda is 0.581645555102095
the regulation term lambda/alpha is 1.832884327536977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2619845474058545
the lambda is 0.508580973463478
the regulation term lambda/alpha is 1.9412632481548906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30599363931169427
the lambda is 0.490429977499293
the regulation term lambda/alpha is 1.6027456603427184
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3099593628485178
the lambda is 0.5455693513700256
the regulation term lambda/alpha is 1.7601318648878956
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2532726199902247
the lambda is 0.4764227780178297
the regulation term lambda/alpha is 1.8810670416573954
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33596297617421456
the lambda is 0.46871828891443706
the regulation term lambda/alpha is 1.3951486388529368
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23935389553206626
the lambda is 0.5173157919935577
the regulation term lambda/alpha is 2.1613009090309663
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31025590344281423
the lambda is 0.5369468164903597
the regulation term lambda/alpha is 1.7306578554413508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2846246688082985
the lambda is 0.5307720093456844
the regulation term lambda/alpha is 1.8648137969487526
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30507053995988914
the lambda is 0.5942128314815772
the regulation term lambda/alpha is 1.9477883100731546
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3011652676994584
the lambda is 0.560914576097447
the regulation term lambda/alpha is 1.8624809573234056
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37138853054240006
the lambda is 0.45833291292880707
the regulation term lambda/alpha is 1.2341062667159586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33610232922024386
the lambda is 0.46392513349875525
the regulation term lambda/alpha is 1.3803091890944637
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3624735256447128
the lambda is 0.4394770968586244
the regulation term lambda/alpha is 1.212439159734354
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24773796272628693
the lambda is 0.49840007067245007
the regulation term lambda/alpha is 2.0118033796181125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.402477768251649
the lambda is 0.5713698841938286
the regulation term lambda/alpha is 1.4196309194315049
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2514139436489647
the lambda is 0.6060431945956375
the regulation term lambda/alpha is 2.4105393113829114
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.310151269083148
the lambda is 0.4903801980436341
the regulation term lambda/alpha is 1.5811000854301478
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31414944904778774
the lambda is 0.4030905571757137
the regulation term lambda/alpha is 1.2831171864140256
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2939713433319792
the lambda is 0.4970285650177973
the regulation term lambda/alpha is 1.6907381494546132
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2998623618099627
the lambda is 0.5196483803966419
the regulation term lambda/alpha is 1.7329563379013477
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35810914428223184
the lambda is 0.5596301472749351
the regulation term lambda/alpha is 1.5627362668904126
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4319394286320562
the lambda is 0.47414960728663047
the regulation term lambda/alpha is 1.0977224486966912
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3283784662017423
the lambda is 0.5186599324757065
the regulation term lambda/alpha is 1.5794578081653594
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2932652873775557
the lambda is 0.4730504767277586
the regulation term lambda/alpha is 1.613046265918079
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3486976302901364
the lambda is 0.5937413978469445
the regulation term lambda/alpha is 1.7027399852213438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40873226492191345
the lambda is 0.570675342679745
the regulation term lambda/alpha is 1.396208206828913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26836641082767376
the lambda is 0.47023938792707914
the regulation term lambda/alpha is 1.752228926402545
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32492132299367454
the lambda is 0.4785105307493508
the regulation term lambda/alpha is 1.4726966095686687
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29785121051145313
the lambda is 0.426551772292079
the regulation term lambda/alpha is 1.4320968229728817
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2803565036788342
the lambda is 0.5131785190192676
the regulation term lambda/alpha is 1.8304498461257224
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3687030870992876
the lambda is 0.500667222295289
the regulation term lambda/alpha is 1.3579143755866219
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3568214585918025
the lambda is 0.494091441765312
the regulation term lambda/alpha is 1.3847021524861374
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2861807168385384
the lambda is 0.4788285558462165
the regulation term lambda/alpha is 1.6731684829637523
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2537962899689675
the lambda is 0.4262912656218636
the regulation term lambda/alpha is 1.6796591694621996
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32658274923913927
the lambda is 0.4313308970577467
the regulation term lambda/alpha is 1.3207399902862165
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40734916572775637
the lambda is 0.6008577360881131
the regulation term lambda/alpha is 1.4750434925149307
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2794977081557483
the lambda is 0.4283717124922377
the regulation term lambda/alpha is 1.5326483902813626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2940855886692214
the lambda is 0.4741921652876498
the regulation term lambda/alpha is 1.6124291143725742
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26285802657031965
the lambda is 0.47640272986640564
the regulation term lambda/alpha is 1.812395596521602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909070521000697
the lambda is 0.5752101912438081
the regulation term lambda/alpha is 1.9772988901140165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2899384651387788
the lambda is 0.5530515426623828
the regulation term lambda/alpha is 1.9074790314478112
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3243691489098803
the lambda is 0.46584076155486465
the regulation term lambda/alpha is 1.4361438599214302
290
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37829734551780936
the lambda is 0.5112696505265896
the regulation term lambda/alpha is 1.3515020831742004
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3065384245245957
the lambda is 0.4972626371885266
the regulation term lambda/alpha is 1.622186967130536
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31045748878227153
the lambda is 0.39384985602884015
the regulation term lambda/alpha is 1.268611227816292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.274574106315981
the lambda is 0.47467360551861665
the regulation term lambda/alpha is 1.728763181231519
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3874386322790235
the lambda is 0.5134598266109924
the regulation term lambda/alpha is 1.325267497437405
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31458020845937257
the lambda is 0.47528416101076326
the regulation term lambda/alpha is 1.5108520759726858
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26770689279840526
the lambda is 0.4880780562625254
the regulation term lambda/alpha is 1.8231807599741894
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2949241137100199
the lambda is 0.4431054176747496
the regulation term lambda/alpha is 1.5024387531445695
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2840663959486325
the lambda is 0.47182249631857887
the regulation term lambda/alpha is 1.6609585049401556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40217285839035827
the lambda is 0.5834608858292465
the regulation term lambda/alpha is 1.450771412482853
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.306608786052108
the lambda is 0.5143075206838135
the regulation term lambda/alpha is 1.6774063369351953
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4435530683776559
the lambda is 0.5100289977197177
the regulation term lambda/alpha is 1.149871422567777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2867558096109687
the lambda is 0.4985312172259189
the regulation term lambda/alpha is 1.7385217684072671
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2881641105217642
the lambda is 0.4813506922560572
the regulation term lambda/alpha is 1.6704047266139417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4478641640646076
the lambda is 0.5433103944195778
the regulation term lambda/alpha is 1.2131142386761746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3145113082941538
the lambda is 0.5051556802764359
the regulation term lambda/alpha is 1.606160627470913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2785627213611245
the lambda is 0.445683018899394
the regulation term lambda/alpha is 1.5999377688503311
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32738743254227654
the lambda is 0.5190448149566301
the regulation term lambda/alpha is 1.5854145986181198
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.34080975667964303
the lambda is 0.45275661801771033
the regulation term lambda/alpha is 1.3284731705709234
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37107353836548185
the lambda is 0.5664586960318347
the regulation term lambda/alpha is 1.5265402607984189
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246606071352496
the lambda is 0.4397322119272279
the regulation term lambda/alpha is 1.3544366093791012
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.276686130063351
the lambda is 0.47151196315273397
the regulation term lambda/alpha is 1.7041402221527149
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22560828242542402
the lambda is 0.39419041722569675
the regulation term lambda/alpha is 1.7472338027128878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27175223976120233
the lambda is 0.500054587278575
the regulation term lambda/alpha is 1.8401121099056608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3374647806573763
the lambda is 0.5514666698491371
the regulation term lambda/alpha is 1.6341458470862895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29826860606791133
the lambda is 0.524098789830365
the regulation term lambda/alpha is 1.757136953632443
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.336079489262589
the lambda is 0.42785603872156297
the regulation term lambda/alpha is 1.2730798885119292
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.357395769821595
the lambda is 0.5100356025588721
the regulation term lambda/alpha is 1.4270890861788095
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3483951099264505
the lambda is 0.5286772341478326
the regulation term lambda/alpha is 1.517464565617587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196367472587794
the lambda is 0.4734575370153172
the regulation term lambda/alpha is 1.4812362504490253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25817601893577047
the lambda is 0.5744824592159912
the regulation term lambda/alpha is 2.2251580978902306
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.338009320839519
the lambda is 0.4540475911564827
the regulation term lambda/alpha is 1.3432990250942123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4499541245363494
the lambda is 0.5711486611916932
the regulation term lambda/alpha is 1.269348651443583
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4154123715499529
the lambda is 0.5445731380819507
the regulation term lambda/alpha is 1.3109218101764366
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28936134249118256
the lambda is 0.4440499770831415
the regulation term lambda/alpha is 1.5345863869036778
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2655582458964943
the lambda is 0.49240108586793785
the regulation term lambda/alpha is 1.85421124546763
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30156655844331715
the lambda is 0.5200748433620008
the regulation term lambda/alpha is 1.7245773073998016
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.395396102889468
the lambda is 0.548922728961356
the regulation term lambda/alpha is 1.3882856329385875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.284335838451521
the lambda is 0.5199742985159923
the regulation term lambda/alpha is 1.8287328862508039
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2887516562895786
the lambda is 0.46567694121887526
the regulation term lambda/alpha is 1.6127247448647175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2744816023054625
the lambda is 0.44856396901363804
the regulation term lambda/alpha is 1.6342223494981074
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3218214094599915
the lambda is 0.5709428775785459
the regulation term lambda/alpha is 1.7740984931256567
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.301822457625311
the lambda is 0.480680936112775
the regulation term lambda/alpha is 1.5925949973858566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3035479039254963
the lambda is 0.4860097781142594
the regulation term lambda/alpha is 1.601097460496868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33690872208937356
the lambda is 0.5584135524561293
the regulation term lambda/alpha is 1.657462439657457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32835168257359304
the lambda is 0.4772109805810206
the regulation term lambda/alpha is 1.453353236507518
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23313243478840837
the lambda is 0.4368080741734268
the regulation term lambda/alpha is 1.8736478026743684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32061656510085224
the lambda is 0.5776417031557806
the regulation term lambda/alpha is 1.801658947266431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2755294025341728
the lambda is 0.5401893802546893
the regulation term lambda/alpha is 1.9605507625912695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3468511221235314
the lambda is 0.5755173622927638
the regulation term lambda/alpha is 1.6592633714697704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4015402354728856
the lambda is 0.5587780134800236
the regulation term lambda/alpha is 1.3915866060644269
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33718815856139767
the lambda is 0.5414821703247684
the regulation term lambda/alpha is 1.6058754039138994
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2677447451989515
the lambda is 0.45706508239091126
the regulation term lambda/alpha is 1.7070926342598531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32270252897632795
the lambda is 0.5249768552494843
the regulation term lambda/alpha is 1.6268135763137894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3857915241803321
the lambda is 0.6154735846723665
the regulation term lambda/alpha is 1.5953527905519074
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3006591655469719
the lambda is 0.4468654767844626
the regulation term lambda/alpha is 1.4862858944330066
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28437008296536515
the lambda is 0.4485697767066394
the regulation term lambda/alpha is 1.57741550035442
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3388094121632702
the lambda is 0.4474455803465072
the regulation term lambda/alpha is 1.320640939369435
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29590567822727987
the lambda is 0.4730391096817333
the regulation term lambda/alpha is 1.5986145062022108
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3383143220594686
the lambda is 0.5184737041552615
the regulation term lambda/alpha is 1.5325207073678797
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3018398501058574
the lambda is 0.4891356961541934
the regulation term lambda/alpha is 1.6205139778019702
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34758246433052886
the lambda is 0.5728183987095758
the regulation term lambda/alpha is 1.6480071853246945
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33566488428320307
the lambda is 0.5245881406027865
the regulation term lambda/alpha is 1.5628329478760352
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2852932702782549
the lambda is 0.5074556529266763
the regulation term lambda/alpha is 1.7787158190999033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28595703035347286
the lambda is 0.41744586868706507
the regulation term lambda/alpha is 1.4598202679999097
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33705198707231754
the lambda is 0.5144389795987111
the regulation term lambda/alpha is 1.526289709985699
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3052734447067897
the lambda is 0.464118801185694
the regulation term lambda/alpha is 1.520337943680207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35785875568937714
the lambda is 0.4999916500160565
the regulation term lambda/alpha is 1.3971759585786168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3602500018443933
the lambda is 0.5174402599572032
the regulation term lambda/alpha is 1.4363365921111273
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3732087668758396
the lambda is 0.5295878596879817
the regulation term lambda/alpha is 1.4190123777670176
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2735173634534265
the lambda is 0.4439084551380307
the regulation term lambda/alpha is 1.6229626139022715
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3629289424388507
the lambda is 0.5538647283246936
the regulation term lambda/alpha is 1.52609688442804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32027875947504436
the lambda is 0.43740561016678237
the regulation term lambda/alpha is 1.3657028361284893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30785837176651853
the lambda is 0.5249556138328916
the regulation term lambda/alpha is 1.7051854423209278
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3084134260828152
the lambda is 0.4957680184903701
the regulation term lambda/alpha is 1.6074787170816827
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3251985255637966
the lambda is 0.4382757649968055
the regulation term lambda/alpha is 1.3477175649458033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31802590663568325
the lambda is 0.5606652642631221
the regulation term lambda/alpha is 1.7629546919439996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36013282462234963
the lambda is 0.5859671355809382
the regulation term lambda/alpha is 1.6270861624330075
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28895303925263516
the lambda is 0.4324054067065841
the regulation term lambda/alpha is 1.4964556449206503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3232372781386461
the lambda is 0.5238210454846437
the regulation term lambda/alpha is 1.6205465177192875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2829303394142814
the lambda is 0.5241514864703376
the regulation term lambda/alpha is 1.852581407690066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24368845440536227
the lambda is 0.5028096314539605
the regulation term lambda/alpha is 2.0633297243437085
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27383399323723523
the lambda is 0.5411781268210668
the regulation term lambda/alpha is 1.9763000218611237
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3155970472690653
the lambda is 0.6017599202354655
the regulation term lambda/alpha is 1.9067349502875082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367799779333188
the lambda is 0.4309436977967588
the regulation term lambda/alpha is 1.2796001129321413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3467915649572076
the lambda is 0.5187445936461974
the regulation term lambda/alpha is 1.495839709106558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3024284956600466
the lambda is 0.5075877493976596
the regulation term lambda/alpha is 1.6783727614352457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2889827856532819
the lambda is 0.4976606041507281
the regulation term lambda/alpha is 1.7221115888467329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41401528485191186
the lambda is 0.6098683910043032
the regulation term lambda/alpha is 1.4730576703767002
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3067712548908579
the lambda is 0.5177785140345729
the regulation term lambda/alpha is 1.687832565077802
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36176818772808517
the lambda is 0.5203911757231329
the regulation term lambda/alpha is 1.4384658280519487
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28238759856180107
the lambda is 0.4512323384320619
the regulation term lambda/alpha is 1.5979183956030167
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30639915841156645
the lambda is 0.41384192749142873
the regulation term lambda/alpha is 1.3506627421461166
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3324061209614823
the lambda is 0.5322927461169069
the regulation term lambda/alpha is 1.6013325644463283
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2519541752666305
the lambda is 0.43605556285553204
the regulation term lambda/alpha is 1.7306939343000618
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2834902184651182
the lambda is 0.4936774431213811
the regulation term lambda/alpha is 1.7414267264467371
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2720384018865334
the lambda is 0.4409944803806307
the regulation term lambda/alpha is 1.6210743678922528
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31547089600307243
the lambda is 0.5705331970430976
the regulation term lambda/alpha is 1.8085129381873029
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909065051633235
the lambda is 0.5157607036486566
the regulation term lambda/alpha is 1.7729431775995979
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34065843811945173
the lambda is 0.5042448819326731
the regulation term lambda/alpha is 1.480206639577969
300
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39188479588565234
the lambda is 0.48793710975794424
the regulation term lambda/alpha is 1.2451034459125045
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2618365967771993
the lambda is 0.453865893817548
the regulation term lambda/alpha is 1.733393648572928
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2837282562322258
the lambda is 0.463066360125383
the regulation term lambda/alpha is 1.6320769960478403
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31800566403925884
the lambda is 0.49461289997636887
the regulation term lambda/alpha is 1.5553587747270667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32161334045234624
the lambda is 0.51144925247827
the regulation term lambda/alpha is 1.5902613111723576
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3187499570910488
the lambda is 0.539799418208675
the regulation term lambda/alpha is 1.6934885988219441
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29190518909596513
the lambda is 0.4660815420401952
the regulation term lambda/alpha is 1.5966881009674987
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2743344151478426
the lambda is 0.5423341984440191
the regulation term lambda/alpha is 1.9769090879529192
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26084550378958976
the lambda is 0.5481874827305825
the regulation term lambda/alpha is 2.101579190618429
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31671166779313975
the lambda is 0.4673560902773467
the regulation term lambda/alpha is 1.475651634604761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31453487963320864
the lambda is 0.5331305531466892
the regulation term lambda/alpha is 1.694980708557326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3062753968153241
the lambda is 0.5288410426855616
the regulation term lambda/alpha is 1.7266847033241741
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27160943616374544
the lambda is 0.504331884232211
the regulation term lambda/alpha is 1.8568275511906882
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34169062144326723
the lambda is 0.46694541881143237
the regulation term lambda/alpha is 1.3665737058837064
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29183877626231325
the lambda is 0.5092179439032934
the regulation term lambda/alpha is 1.7448604685951445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37243014929105944
the lambda is 0.4407194009356861
the regulation term lambda/alpha is 1.1833612337095127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28404712147304023
the lambda is 0.43339857618344496
the regulation term lambda/alpha is 1.5257981631212556
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4138927962347292
the lambda is 0.4279923732017494
the regulation term lambda/alpha is 1.0340657704006617
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31589437225692363
the lambda is 0.4772341799165815
the regulation term lambda/alpha is 1.5107397340033546
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38746515174089385
the lambda is 0.5207153335887107
the regulation term lambda/alpha is 1.3439023645071546
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2957966068008867
the lambda is 0.4161285433696078
the regulation term lambda/alpha is 1.4068063453132227
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26858159078164534
the lambda is 0.4565556990961707
the regulation term lambda/alpha is 1.6998771128261982
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32698102460970024
the lambda is 0.4467813731111751
the regulation term lambda/alpha is 1.366383182768707
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2650522635011809
the lambda is 0.4051029192493971
the regulation term lambda/alpha is 1.5283888313128564
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2551462645093776
the lambda is 0.4126153866957634
the regulation term lambda/alpha is 1.6171719679658418
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33294387379941975
the lambda is 0.4664075690338723
the regulation term lambda/alpha is 1.4008594412968747
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2775173616206869
the lambda is 0.4724888282399179
the regulation term lambda/alpha is 1.7025559247198365
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.305108189110128
the lambda is 0.46224663161259333
the regulation term lambda/alpha is 1.5150253192507614
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3302676630904541
the lambda is 0.5634115266157118
the regulation term lambda/alpha is 1.7059239810026574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3264801188662872
the lambda is 0.45386971546066857
the regulation term lambda/alpha is 1.3901909771313055
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2564661295739275
the lambda is 0.5157962058325719
the regulation term lambda/alpha is 2.0111669587304757
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350816822778124
the lambda is 0.5230790675979259
the regulation term lambda/alpha is 1.5610494254479927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4001913069224252
the lambda is 0.5469636481119242
the regulation term lambda/alpha is 1.3667554458346842
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26112729445616706
the lambda is 0.4246493687441427
the regulation term lambda/alpha is 1.6262159404995655
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3415601161326823
the lambda is 0.46257584803093715
the regulation term lambda/alpha is 1.3543028772459054
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31230941001864493
the lambda is 0.45673136026560546
the regulation term lambda/alpha is 1.4624322726565893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24149930783044185
the lambda is 0.47835601434671066
the regulation term lambda/alpha is 1.9807759228965052
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.362086259420274
the lambda is 0.6059461710428274
the regulation term lambda/alpha is 1.6734856827016595
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30395396623138954
the lambda is 0.4703956753919959
the regulation term lambda/alpha is 1.547588541858013
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3393472426751615
the lambda is 0.5285620294421766
the regulation term lambda/alpha is 1.5575845711177327
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32205996478421933
the lambda is 0.489066832591747
the regulation term lambda/alpha is 1.51855829990984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36672089262470375
the lambda is 0.5526149855272917
the regulation term lambda/alpha is 1.5069089234924746
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3984060977426124
the lambda is 0.49526805413537306
the regulation term lambda/alpha is 1.2431236794355938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37022767026161774
the lambda is 0.604102795059828
the regulation term lambda/alpha is 1.6317062272329474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35701802171779695
the lambda is 0.4810064879362287
the regulation term lambda/alpha is 1.3472890965611752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2734044176277323
the lambda is 0.5466001411785427
the regulation term lambda/alpha is 1.9992366835959245
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3647697862936256
the lambda is 0.6007176269273742
the regulation term lambda/alpha is 1.646840416886446
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336182785641805
the lambda is 0.516871611161303
the regulation term lambda/alpha is 1.5492904447136542
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29319792745218753
the lambda is 0.48215141955258217
the regulation term lambda/alpha is 1.644457120629571
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2917270934948673
the lambda is 0.5029010443543146
the regulation term lambda/alpha is 1.723875003619308
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31443521200879904
the lambda is 0.6102893858227487
the regulation term lambda/alpha is 1.9409066240509687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36062829999662754
the lambda is 0.4457062378067972
the regulation term lambda/alpha is 1.2359158663115604
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27917354984611725
the lambda is 0.5398503519368514
the regulation term lambda/alpha is 1.9337446267184744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34252883335949924
the lambda is 0.5852540137165368
the regulation term lambda/alpha is 1.7086270022187788
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2905057917060984
the lambda is 0.502721698347256
the regulation term lambda/alpha is 1.730504907991143
using Bay_non_info_prior option for model regressor
Convergence after  6  iterations
the alpha is 0.2827383339451695
the lambda is 0.3791986632059534
the regulation term lambda/alpha is 1.341164665982258
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3360023412480009
the lambda is 0.517585247084112
the regulation term lambda/alpha is 1.540421549331069
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38954581722603165
the lambda is 0.5575484111851462
the regulation term lambda/alpha is 1.4312781360494804
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31414555332607896
the lambda is 0.4850600233603103
the regulation term lambda/alpha is 1.5440614015530068
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28532086679734153
the lambda is 0.46648322751800714
the regulation term lambda/alpha is 1.6349425569681242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.280605128754743
the lambda is 0.45491089420642045
the regulation term lambda/alpha is 1.6211781168263169
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2749190741431996
the lambda is 0.46981686640991704
the regulation term lambda/alpha is 1.7089278649512665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.387777048651147
the lambda is 0.5058220513667969
the regulation term lambda/alpha is 1.3044146194991697
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.293154151271047
the lambda is 0.4769305967272021
the regulation term lambda/alpha is 1.6268935461406362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3433629591826237
the lambda is 0.5291220572782741
the regulation term lambda/alpha is 1.5409992345646435
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3125516947725935
the lambda is 0.46081347554505986
the regulation term lambda/alpha is 1.4743592284160825
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.304654613674311
the lambda is 0.5674155653620497
the regulation term lambda/alpha is 1.8624880106645672
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27369056052185886
the lambda is 0.4853250140169582
the regulation term lambda/alpha is 1.7732617927763596
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31378862671001867
the lambda is 0.4768203451464171
the regulation term lambda/alpha is 1.5195590424858223
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28102390489057194
the lambda is 0.5209601722761877
the regulation term lambda/alpha is 1.8537930873853765
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30917154315716966
the lambda is 0.5826306419485991
the regulation term lambda/alpha is 1.88448987251202
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3263864561598839
the lambda is 0.5019754937989194
the regulation term lambda/alpha is 1.5379789336387824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3827022827500758
the lambda is 0.524582680020051
the regulation term lambda/alpha is 1.3707330833002385
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3706916538143283
the lambda is 0.5375959030998462
the regulation term lambda/alpha is 1.4502508960428786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3416796918810166
the lambda is 0.5716251451402258
the regulation term lambda/alpha is 1.672985426770062
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30263414925653254
the lambda is 0.4971152385326809
the regulation term lambda/alpha is 1.642627706601919
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3033661971070787
the lambda is 0.5072604234839444
the regulation term lambda/alpha is 1.6721059508976786
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2968985469520714
the lambda is 0.4554656152372309
the regulation term lambda/alpha is 1.53407829008593
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31435387788058466
the lambda is 0.5368105258776618
the regulation term lambda/alpha is 1.7076631263368187
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3021298108858773
the lambda is 0.42518734467528524
the regulation term lambda/alpha is 1.4073002045994398
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2952493738212038
the lambda is 0.4948581725092419
the regulation term lambda/alpha is 1.67606849120336
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32027581894435836
the lambda is 0.46801522422192193
the regulation term lambda/alpha is 1.4612880415528042
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26351968934221187
the lambda is 0.5131974569886462
the regulation term lambda/alpha is 1.9474729128198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.347905508618623
the lambda is 0.4902590134340792
the regulation term lambda/alpha is 1.4091728969187012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3122756682427609
the lambda is 0.5028437353016398
the regulation term lambda/alpha is 1.6102558938749358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308883532200777
the lambda is 0.5041097549406481
the regulation term lambda/alpha is 1.6320383004846382
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3105023061315271
the lambda is 0.48421187319546016
the regulation term lambda/alpha is 1.5594469465561736
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3362591216101033
the lambda is 0.5386546317397005
the regulation term lambda/alpha is 1.60190340461389
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35630538161937725
the lambda is 0.5435256369054743
the regulation term lambda/alpha is 1.5254488563579847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27280778992013444
the lambda is 0.5764757908646209
the regulation term lambda/alpha is 2.1131207104950573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31365035563033317
the lambda is 0.5146457028995622
the regulation term lambda/alpha is 1.640826141788665
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3355965108573954
the lambda is 0.48380274929769196
the regulation term lambda/alpha is 1.4416203197752364
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2929814320020788
the lambda is 0.4620533217683392
the regulation term lambda/alpha is 1.5770737367583783
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3074665371852198
the lambda is 0.48172655334569436
the regulation term lambda/alpha is 1.5667609156943774
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2520904595226629
the lambda is 0.4899732839752835
the regulation term lambda/alpha is 1.9436407268369271
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3410311419374128
the lambda is 0.5233817086632216
the regulation term lambda/alpha is 1.534703563111179
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28865028868414366
the lambda is 0.45234553434859853
the regulation term lambda/alpha is 1.5671057749870425
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30445621429443676
the lambda is 0.4693771213038844
the regulation term lambda/alpha is 1.5416900666378062
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30616018424927055
the lambda is 0.5015446039285418
the regulation term lambda/alpha is 1.6381771037875799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35883840980521564
the lambda is 0.5095344503389604
the regulation term lambda/alpha is 1.419955156460384
310
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31181942488258074
the lambda is 0.5424505689814398
the regulation term lambda/alpha is 1.7396304581913264
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3792313368796688
the lambda is 0.555353018962679
the regulation term lambda/alpha is 1.4644175334563505
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3666291750237601
the lambda is 0.5236792280677967
the regulation term lambda/alpha is 1.428362126483411
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2690697559927845
the lambda is 0.4885328667041214
the regulation term lambda/alpha is 1.8156364876520055
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40263780320355386
the lambda is 0.49804197223801605
the regulation term lambda/alpha is 1.2369478679731185
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31092744923583293
the lambda is 0.522324701760336
the regulation term lambda/alpha is 1.6798925377738585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137110251717631
the lambda is 0.5785360049164214
the regulation term lambda/alpha is 1.844168545238923
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3342246068129747
the lambda is 0.4364553736525561
the regulation term lambda/alpha is 1.305874447170156
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3587287231853219
the lambda is 0.5281012978443466
the regulation term lambda/alpha is 1.4721466771745666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.43285209677840614
the lambda is 0.5088700541251228
the regulation term lambda/alpha is 1.1756210906970221
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30591650698354067
the lambda is 0.4675190279505009
the regulation term lambda/alpha is 1.5282569501084653
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34723661423595215
the lambda is 0.5354209408857001
the regulation term lambda/alpha is 1.541948397532393
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33977985020378343
the lambda is 0.528137701607919
the regulation term lambda/alpha is 1.5543526235919158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246318135167693
the lambda is 0.5286215646739951
the regulation term lambda/alpha is 1.6283726445273008
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29438623242101175
the lambda is 0.5464958206012754
the regulation term lambda/alpha is 1.8563905523262147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.259599886641647
the lambda is 0.4806797209301856
the regulation term lambda/alpha is 1.8516176071899382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3355092748670738
the lambda is 0.4728188330223161
the regulation term lambda/alpha is 1.4092571157970022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3307918705484229
the lambda is 0.4742930763385151
the regulation term lambda/alpha is 1.4338111621430727
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30644251868258976
the lambda is 0.5440855776905281
the regulation term lambda/alpha is 1.7754898374728696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3642309918479302
the lambda is 0.5416385989067489
the regulation term lambda/alpha is 1.4870744418500446
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3720014981985058
the lambda is 0.5161660920615491
the regulation term lambda/alpha is 1.387537670039476
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33736092208879465
the lambda is 0.45555112433271516
the regulation term lambda/alpha is 1.3503375598813796
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29427436459427025
the lambda is 0.5129991965127212
the regulation term lambda/alpha is 1.7432683856781648
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32901793245601774
the lambda is 0.472874972064025
the regulation term lambda/alpha is 1.4372316078158984
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32025080443208725
the lambda is 0.5004897074860984
the regulation term lambda/alpha is 1.5628054654652175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31733725506951693
the lambda is 0.5406150099330491
the regulation term lambda/alpha is 1.7035976750180821
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4001596162001442
the lambda is 0.4899104165126871
the regulation term lambda/alpha is 1.2242875009847398
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32018667700676107
the lambda is 0.5501512862214336
the regulation term lambda/alpha is 1.7182204186772474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3412338250765496
the lambda is 0.5293110072781627
the regulation term lambda/alpha is 1.5511680507037116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3846860542966885
the lambda is 0.518110017147481
the regulation term lambda/alpha is 1.3468385748860274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35182099902708963
the lambda is 0.4829809384239633
the regulation term lambda/alpha is 1.372803044046767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38093558732507043
the lambda is 0.5391239688460149
the regulation term lambda/alpha is 1.415262807635651
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196966515645047
the lambda is 0.5696388217062389
the regulation term lambda/alpha is 1.7818104097074152
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3784869151068253
the lambda is 0.5490177795417421
the regulation term lambda/alpha is 1.4505594714860504
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2955228651274338
the lambda is 0.5191249745230737
the regulation term lambda/alpha is 1.7566321790336574
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3581775702240951
the lambda is 0.5512794738479284
the regulation term lambda/alpha is 1.5391233836976963
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31672385975994927
the lambda is 0.43309366151277673
the regulation term lambda/alpha is 1.3674172253426888
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35719456059500104
the lambda is 0.5173113766927541
the regulation term lambda/alpha is 1.4482621903061361
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2797956911669311
the lambda is 0.4577486415546965
the regulation term lambda/alpha is 1.636010331844587
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.241339995631761
the lambda is 0.4459834640579381
the regulation term lambda/alpha is 1.847946764441084
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35160562550041546
the lambda is 0.4064285161465284
the regulation term lambda/alpha is 1.1559215401291927
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3127757256932266
the lambda is 0.45005801969425413
the regulation term lambda/alpha is 1.4389160753979844
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314833728537417
the lambda is 0.4510500010398273
the regulation term lambda/alpha is 1.3607017364302048
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24370544443676406
the lambda is 0.393133201492819
the regulation term lambda/alpha is 1.6131490307957728
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.300397658043289
the lambda is 0.4895632366000614
the regulation term lambda/alpha is 1.6297172214622013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31974184836784014
the lambda is 0.5127683983252344
the regulation term lambda/alpha is 1.603694983758682
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28749316075359166
the lambda is 0.5046268846302969
the regulation term lambda/alpha is 1.7552657019998088
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3314280398181314
the lambda is 0.44098169597185904
the regulation term lambda/alpha is 1.3305503548035476
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2844300374071186
the lambda is 0.45030072167176344
the regulation term lambda/alpha is 1.583168661709333
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3404780338956656
the lambda is 0.5214027122081769
the regulation term lambda/alpha is 1.5313842900301549
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.320305466019187
the lambda is 0.4492853736385603
the regulation term lambda/alpha is 1.4026778225871646
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33637465886372175
the lambda is 0.47212443379062724
the regulation term lambda/alpha is 1.403567187211635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3078908907478159
the lambda is 0.5314714797158564
the regulation term lambda/alpha is 1.7261682488397119
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32926999022398634
the lambda is 0.5401359038121445
the regulation term lambda/alpha is 1.6404042878147393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3581136028652997
the lambda is 0.5855316971006889
the regulation term lambda/alpha is 1.6350445568551326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32052513162361024
the lambda is 0.4632101151320957
the regulation term lambda/alpha is 1.4451600496526404
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.43054475507112505
the lambda is 0.562248484714113
the regulation term lambda/alpha is 1.3059002068698544
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29873886995454624
the lambda is 0.4279925728050493
the regulation term lambda/alpha is 1.4326644968234945
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3918530705619084
the lambda is 0.5449207558316868
the regulation term lambda/alpha is 1.3906252030902368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3144958267837158
the lambda is 0.49729427415352667
the regulation term lambda/alpha is 1.5812428394972775
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3373174540205466
the lambda is 0.5148746896808967
the regulation term lambda/alpha is 1.526380220009412
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27776773060566723
the lambda is 0.45885710265933927
the regulation term lambda/alpha is 1.6519453201378365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30271875713713975
the lambda is 0.5434936603532207
the regulation term lambda/alpha is 1.795374906705908
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3289194964579482
the lambda is 0.49256241311649007
the regulation term lambda/alpha is 1.497516621607328
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2821325139845521
the lambda is 0.494353429383264
the regulation term lambda/alpha is 1.7522029715806944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33569667754918797
the lambda is 0.49282249944459194
the regulation term lambda/alpha is 1.4680589127140857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.376145620988392
the lambda is 0.527516050841765
the regulation term lambda/alpha is 1.4024250753089171
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30603390461135493
the lambda is 0.4096345745737294
the regulation term lambda/alpha is 1.3385267723651117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3902292589059463
the lambda is 0.556421607744971
the regulation term lambda/alpha is 1.4258838747893086
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31379587292240946
the lambda is 0.495609694309851
the regulation term lambda/alpha is 1.579401569861939
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3104802370802228
the lambda is 0.4818366323509735
the regulation term lambda/alpha is 1.551907576734023
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2699232623436564
the lambda is 0.3981072476217025
the regulation term lambda/alpha is 1.4748904713327264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31309234471090175
the lambda is 0.5404706393316492
the regulation term lambda/alpha is 1.7262339640744024
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3403392483580373
the lambda is 0.4914206766553554
the regulation term lambda/alpha is 1.4439142092080435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3983594933996446
the lambda is 0.5727302270364953
the regulation term lambda/alpha is 1.4377220488678488
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37343987144845325
the lambda is 0.5029756615679535
the regulation term lambda/alpha is 1.346871879580165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3444533605786445
the lambda is 0.507677728954262
the regulation term lambda/alpha is 1.473864932255032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31163974136465056
the lambda is 0.5763681380908318
the regulation term lambda/alpha is 1.8494693121196688
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3485191905858758
the lambda is 0.5070730624955464
the regulation term lambda/alpha is 1.454935843398278
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3188795873870214
the lambda is 0.5176515731307175
the regulation term lambda/alpha is 1.6233449665827882
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.323704592688666
the lambda is 0.5254715656882833
the regulation term lambda/alpha is 1.623305870713035
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31363553973315744
the lambda is 0.4255505142061082
the regulation term lambda/alpha is 1.3568312907656082
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.306435157757168
the lambda is 0.4940460518036005
the regulation term lambda/alpha is 1.612236844556535
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4414512380781648
the lambda is 0.46717500668035034
the regulation term lambda/alpha is 1.0582709173365843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28405622584430934
the lambda is 0.4416276711065095
the regulation term lambda/alpha is 1.5547192102332754
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42256472618860985
the lambda is 0.5433711737005313
the regulation term lambda/alpha is 1.2858886225586186
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2967713633907883
the lambda is 0.4375407335295069
the regulation term lambda/alpha is 1.4743360967525483
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33355747494946714
the lambda is 0.4819145928122763
the regulation term lambda/alpha is 1.4447722776570506
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38696053036157485
the lambda is 0.4956286495215779
the regulation term lambda/alpha is 1.280824814506182
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321532523635526
the lambda is 0.5685364427152998
the regulation term lambda/alpha is 1.7682081933327707
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32409426081943166
the lambda is 0.5002216833590163
the regulation term lambda/alpha is 1.5434450523568932
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.255680129287044
the lambda is 0.5155052066682402
the regulation term lambda/alpha is 2.0162114596300866
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2760475938275998
the lambda is 0.46643020626270987
the regulation term lambda/alpha is 1.6896731458344456
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2466972603541148
the lambda is 0.5443454189478888
the regulation term lambda/alpha is 2.206532079709856
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.42318150930553133
the lambda is 0.46296427423243297
the regulation term lambda/alpha is 1.0940087505056346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34540527805874643
the lambda is 0.4305685595576624
the regulation term lambda/alpha is 1.2465604520508555
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3309209494699956
the lambda is 0.4702968174485041
the regulation term lambda/alpha is 1.4211757164414445
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27068194786338506
the lambda is 0.4279609934610491
the regulation term lambda/alpha is 1.5810474131693621
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30904077747820824
the lambda is 0.4832758359448963
the regulation term lambda/alpha is 1.563793101636803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32933029793968455
the lambda is 0.46564845840090197
the regulation term lambda/alpha is 1.4139253549218953
320
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28943962739612583
the lambda is 0.43585223457613037
the regulation term lambda/alpha is 1.5058485201116738
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37335593637009695
the lambda is 0.5086747224398452
the regulation term lambda/alpha is 1.3624390906580113
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2501310657180348
the lambda is 0.49755699845828794
the regulation term lambda/alpha is 1.9891851379195296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.385259783532288
the lambda is 0.5788625209441532
the regulation term lambda/alpha is 1.5025251679186487
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34877304723222385
the lambda is 0.5425782011436237
the regulation term lambda/alpha is 1.5556769809175028
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2641981302761814
the lambda is 0.4994965716990185
the regulation term lambda/alpha is 1.890613575413521
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30142991311705125
the lambda is 0.4705410472188618
the regulation term lambda/alpha is 1.5610297012431587
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31860141230540007
the lambda is 0.5250290537338858
the regulation term lambda/alpha is 1.6479181618649306
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3202996382412854
the lambda is 0.46204776586446705
the regulation term lambda/alpha is 1.44254850989373
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32674904416930795
the lambda is 0.5987686203821845
the regulation term lambda/alpha is 1.8325030510936313
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36706038903383287
the lambda is 0.6522175314545221
the regulation term lambda/alpha is 1.7768671067212474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27946462089520435
the lambda is 0.5813822558578162
the regulation term lambda/alpha is 2.080342957171051
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36362089939992315
the lambda is 0.5627869669097759
the regulation term lambda/alpha is 1.5477299787733128
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3402674949764405
the lambda is 0.4631099322468791
the regulation term lambda/alpha is 1.3610172557885494
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3654021815338708
the lambda is 0.4708128228802684
the regulation term lambda/alpha is 1.2884784127557996
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3122188496950237
the lambda is 0.5029738128366621
the regulation term lambda/alpha is 1.6109655561410479
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36330126768019877
the lambda is 0.553516795802824
the regulation term lambda/alpha is 1.5235751841363383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40683031844711537
the lambda is 0.5326814442563479
the regulation term lambda/alpha is 1.3093454939386286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2717920639007668
the lambda is 0.43743246583751894
the regulation term lambda/alpha is 1.6094379635647809
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3762042881301688
the lambda is 0.5329125732295835
the regulation term lambda/alpha is 1.4165510336904845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3548340838559731
the lambda is 0.5020279669451052
the regulation term lambda/alpha is 1.414824532890358
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27985751222660876
the lambda is 0.5602745023727057
the regulation term lambda/alpha is 2.0019991527654084
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32540413499178455
the lambda is 0.5247960648075071
the regulation term lambda/alpha is 1.6127516782193212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3745697527189677
the lambda is 0.5058150182459492
the regulation term lambda/alpha is 1.3503893856198588
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2361616154935345
the lambda is 0.4771591902285779
the regulation term lambda/alpha is 2.020477329609228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37285902157942746
the lambda is 0.5906854122895477
the regulation term lambda/alpha is 1.584205767068233
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3043293852747984
the lambda is 0.5071012932340461
the regulation term lambda/alpha is 1.6662909261166219
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.317817834964392
the lambda is 0.500562031867344
the regulation term lambda/alpha is 1.5749966704147569
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2643648085774837
the lambda is 0.4499157257760097
the regulation term lambda/alpha is 1.7018744975814064
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909276050411757
the lambda is 0.5097747351534472
the regulation term lambda/alpha is 1.752239135510353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35816273381791625
the lambda is 0.48093456944921803
the regulation term lambda/alpha is 1.3427822719650027
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2721914596417253
the lambda is 0.4642335412380659
the regulation term lambda/alpha is 1.7055404377827206
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3239360115690597
the lambda is 0.5422556604592393
the regulation term lambda/alpha is 1.673959180495856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3079214732312195
the lambda is 0.4721891278509507
the regulation term lambda/alpha is 1.533472553557127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308824764640568
the lambda is 0.5553439510092574
the regulation term lambda/alpha is 1.7982494106507478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3766014590318038
the lambda is 0.5269259882286325
the regulation term lambda/alpha is 1.3991607721948147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2680382194005404
the lambda is 0.5035430572764505
the regulation term lambda/alpha is 1.8786240947377197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31231203320194595
the lambda is 0.45059931437961037
the regulation term lambda/alpha is 1.442785632560772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3642012902217147
the lambda is 0.4688330540228675
the regulation term lambda/alpha is 1.2872910300165499
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3555688546097547
the lambda is 0.49293660441435655
the regulation term lambda/alpha is 1.3863323461087902
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30033516303712143
the lambda is 0.5165657109801448
the regulation term lambda/alpha is 1.719964141915335
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33255795873367666
the lambda is 0.535394327016645
the regulation term lambda/alpha is 1.6099278725889894
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28488946439913165
the lambda is 0.4896779619115329
the regulation term lambda/alpha is 1.7188349275896404
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28447050093783316
the lambda is 0.4629918428218229
the regulation term lambda/alpha is 1.6275566053261985
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31697392486277837
the lambda is 0.465962266904021
the regulation term lambda/alpha is 1.4700334328943347
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3300929205126003
the lambda is 0.46974348744993816
the regulation term lambda/alpha is 1.4230644108346064
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39913603613629683
the lambda is 0.49912982356893154
the regulation term lambda/alpha is 1.2505255812043212
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32994034008786105
the lambda is 0.5106669093082373
the regulation term lambda/alpha is 1.547755297737312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3035445991652772
the lambda is 0.5133569367577986
the regulation term lambda/alpha is 1.6912076122239965
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2596056729941941
the lambda is 0.45094369857728356
the regulation term lambda/alpha is 1.737033298911648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3274186382311434
the lambda is 0.5536516429406841
the regulation term lambda/alpha is 1.6909594576892413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3887691400371876
the lambda is 0.42850467837054695
the regulation term lambda/alpha is 1.1022085712090175
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32498251902877207
the lambda is 0.4647155122352096
the regulation term lambda/alpha is 1.4299707985033694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31923825700111025
the lambda is 0.5038078123429061
the regulation term lambda/alpha is 1.5781561303949667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39160065526760157
the lambda is 0.6050728607654481
the regulation term lambda/alpha is 1.5451272939060063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2910701277398777
the lambda is 0.527911265670471
the regulation term lambda/alpha is 1.8136909815158098
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3293199838746486
the lambda is 0.51167278015853
the regulation term lambda/alpha is 1.5537252678637674
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33867983688311776
the lambda is 0.5210790948297248
the regulation term lambda/alpha is 1.5385595423253824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34749708526130746
the lambda is 0.47549311820355433
the regulation term lambda/alpha is 1.3683369972614237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3121492793415795
the lambda is 0.5087218624630618
the regulation term lambda/alpha is 1.6297390259433417
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28593015054304277
the lambda is 0.47579876739147986
the regulation term lambda/alpha is 1.664038460049896
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3304280609726902
the lambda is 0.44900139725523974
the regulation term lambda/alpha is 1.3588476594073216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28879803319715264
the lambda is 0.4381695148844725
the regulation term lambda/alpha is 1.5172177941577218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419424832719552
the lambda is 0.5351103171109469
the regulation term lambda/alpha is 1.5649132333327551
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4056364775571118
the lambda is 0.5013179051751162
the regulation term lambda/alpha is 1.2358797418669847
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2734204757847679
the lambda is 0.4595576824929245
the regulation term lambda/alpha is 1.680772740863346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2814563237219544
the lambda is 0.5333307525954714
the regulation term lambda/alpha is 1.8948970324871406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3870197820058213
the lambda is 0.4587531294809712
the regulation term lambda/alpha is 1.1853480127123603
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3440182675454459
the lambda is 0.5139038643034445
the regulation term lambda/alpha is 1.4938272550760874
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30301902111830925
the lambda is 0.5041462896828796
the regulation term lambda/alpha is 1.6637446976836585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38973833727872104
the lambda is 0.5237453546764016
the regulation term lambda/alpha is 1.3438384284526916
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3189208783407574
the lambda is 0.4552056835501569
the regulation term lambda/alpha is 1.4273310857490593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3208210574468553
the lambda is 0.5375514345129064
the regulation term lambda/alpha is 1.6755491013926136
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35641591484972995
the lambda is 0.5159968394565543
the regulation term lambda/alpha is 1.447737931888103
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36231596288842305
the lambda is 0.5279511501907662
the regulation term lambda/alpha is 1.4571567478890002
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3546304536861179
the lambda is 0.5154364866344011
the regulation term lambda/alpha is 1.453446767689647
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3160302663126587
the lambda is 0.505637972362805
the regulation term lambda/alpha is 1.5999669217205972
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3655170793004887
the lambda is 0.5249377731760241
the regulation term lambda/alpha is 1.4361511483420364
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33227154578527357
the lambda is 0.4887293947035244
the regulation term lambda/alpha is 1.4708734494507687
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138385400055048
the lambda is 0.4871097887266214
the regulation term lambda/alpha is 1.5521031569866384
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33472489287070967
the lambda is 0.5039376393888881
the regulation term lambda/alpha is 1.5055278233625078
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.312305834082621
the lambda is 0.48738339965391986
the regulation term lambda/alpha is 1.5605965257920278
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2913471085625577
the lambda is 0.4835276797284078
the regulation term lambda/alpha is 1.6596275216666012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41468459250405715
the lambda is 0.46025800680032225
the regulation term lambda/alpha is 1.1098989813464537
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27367875022869964
the lambda is 0.4352465477730116
the regulation term lambda/alpha is 1.5903556538799517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3649035382351197
the lambda is 0.5366289477235785
the regulation term lambda/alpha is 1.470604944854797
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26419495637297485
the lambda is 0.4826345550295362
the regulation term lambda/alpha is 1.8268121453014463
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3909033420481279
the lambda is 0.5090377591851782
the regulation term lambda/alpha is 1.3022087673082767
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3394107125341266
the lambda is 0.4545719592211377
the regulation term lambda/alpha is 1.339297619179984
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.259177042607396
the lambda is 0.478388728287564
the regulation term lambda/alpha is 1.8457990085650915
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3069871043773571
the lambda is 0.4052862413703386
the regulation term lambda/alpha is 1.3202060789893943
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2889544416683012
the lambda is 0.4907214751021945
the regulation term lambda/alpha is 1.698265900565416
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3126452700328988
the lambda is 0.5187569401741425
the regulation term lambda/alpha is 1.6592508823803895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2834042005864334
the lambda is 0.4987302011925034
the regulation term lambda/alpha is 1.7597840828064906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2987288439257141
the lambda is 0.47212038390063915
the regulation term lambda/alpha is 1.5804311953821337
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35610728011843173
the lambda is 0.48629354733080693
the regulation term lambda/alpha is 1.3655815943135976
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26174292065305493
the lambda is 0.4779428527906589
the regulation term lambda/alpha is 1.8260010685224262
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3625528329550309
the lambda is 0.5343769073515636
the regulation term lambda/alpha is 1.4739283734071522
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30973788331213375
the lambda is 0.509802709957734
the regulation term lambda/alpha is 1.645916555334589
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2531438033315232
the lambda is 0.4535296688134525
the regulation term lambda/alpha is 1.7915890606237719
330
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33826034920853937
the lambda is 0.5790668286794387
the regulation term lambda/alpha is 1.7118968570639086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.44698498294573347
the lambda is 0.5358209723742634
the regulation term lambda/alpha is 1.1987449082586186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2572648602224086
the lambda is 0.4833552667006343
the regulation term lambda/alpha is 1.8788235061825693
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3163962711106947
the lambda is 0.4381460286653919
the regulation term lambda/alpha is 1.384801493163305
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3056978715579938
the lambda is 0.44250641691134923
the regulation term lambda/alpha is 1.4475286159373912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41437196876288473
the lambda is 0.46747205465863445
the regulation term lambda/alpha is 1.1281459410835173
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25142359348371146
the lambda is 0.4664566873602339
the regulation term lambda/alpha is 1.8552621927681316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2823395135195396
the lambda is 0.5384340441396341
the regulation term lambda/alpha is 1.9070445982842257
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4161191569046515
the lambda is 0.5445017801217098
the regulation term lambda/alpha is 1.3085237030951582
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2876012607730609
the lambda is 0.49231067611714274
the regulation term lambda/alpha is 1.7117820512811068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27101417809384587
the lambda is 0.5704595441289426
the regulation term lambda/alpha is 2.1049066441513102
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.357784402823082
the lambda is 0.5130478709575033
the regulation term lambda/alpha is 1.4339581795889418
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4071938596398933
the lambda is 0.5188615272379069
the regulation term lambda/alpha is 1.274237110787398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35948339939085683
the lambda is 0.4355629247798169
the regulation term lambda/alpha is 1.21163571257498
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3360590087201686
the lambda is 0.4865492796425719
the regulation term lambda/alpha is 1.447809066317024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3361022806986881
the lambda is 0.4935823843263505
the regulation term lambda/alpha is 1.4685481553421578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2832463396114818
the lambda is 0.54019366140478
the regulation term lambda/alpha is 1.9071514291967302
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3387003405821677
the lambda is 0.5353519227128793
the regulation term lambda/alpha is 1.5806063902761402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3490495612130249
the lambda is 0.5144923102126862
the regulation term lambda/alpha is 1.4739806817825838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141990493460597
the lambda is 0.5332138748585021
the regulation term lambda/alpha is 1.6970575689782528
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3060956043838929
the lambda is 0.48210853889213773
the regulation term lambda/alpha is 1.575026011440192
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2836021433858912
the lambda is 0.4349068825221095
the regulation term lambda/alpha is 1.533510562825124
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2851488341357062
the lambda is 0.4573727570320047
the regulation term lambda/alpha is 1.6039790533189935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300164542793833
the lambda is 0.4395118390414904
the regulation term lambda/alpha is 1.3317876528344588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41295626268979374
the lambda is 0.6732289522385302
the regulation term lambda/alpha is 1.6302669630276299
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36297749195383655
the lambda is 0.47411516553031147
the regulation term lambda/alpha is 1.306183375112993
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3258586903750277
the lambda is 0.5893131963621624
the regulation term lambda/alpha is 1.808493109954893
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27046833600769615
the lambda is 0.49190327834191794
the regulation term lambda/alpha is 1.818709301069242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3424498130600421
the lambda is 0.45321418831536353
the regulation term lambda/alpha is 1.3234470308672677
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32412005478673334
the lambda is 0.484327613449985
the regulation term lambda/alpha is 1.4942846216926198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28354664378898864
the lambda is 0.5100278066149581
the regulation term lambda/alpha is 1.798743937856353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3335507574844477
the lambda is 0.5412469329505049
the regulation term lambda/alpha is 1.6226823678424456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34617712646514376
the lambda is 0.4786980582550986
the regulation term lambda/alpha is 1.3828125016321615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34452065700792667
the lambda is 0.48068828414955267
the regulation term lambda/alpha is 1.3952379178775718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33183925964373984
the lambda is 0.5493296221884478
the regulation term lambda/alpha is 1.6554087746525352
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27065703908860306
the lambda is 0.4923890342530203
the regulation term lambda/alpha is 1.8192360188047074
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3219191544140022
the lambda is 0.45331986013383835
the regulation term lambda/alpha is 1.408179208717879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37861230431151877
the lambda is 0.5877979032592255
the regulation term lambda/alpha is 1.5525060769699413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3615501903739735
the lambda is 0.5086636890437127
the regulation term lambda/alpha is 1.406896476855871
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138778609122418
the lambda is 0.45006687806849033
the regulation term lambda/alpha is 1.4338917589167786
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3637246769651654
the lambda is 0.48674682013292137
the regulation term lambda/alpha is 1.3382287509173814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29015055527065087
the lambda is 0.5846691601324133
the regulation term lambda/alpha is 2.0150544243730195
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31360233363622103
the lambda is 0.5491207223614328
the regulation term lambda/alpha is 1.75100968157467
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2753193688825401
the lambda is 0.46139860777720093
the regulation term lambda/alpha is 1.6758668656328646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4338852844765588
the lambda is 0.5776137385440043
the regulation term lambda/alpha is 1.3312591120504127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30447993555042224
the lambda is 0.47214541288749284
the regulation term lambda/alpha is 1.5506618261527614
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3306806541160168
the lambda is 0.5272658996693453
the regulation term lambda/alpha is 1.5944866840754406
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3014427848609742
the lambda is 0.3997501730543867
the regulation term lambda/alpha is 1.3261228768130975
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3100375520862897
the lambda is 0.5109182188457074
the regulation term lambda/alpha is 1.647923664109916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3584903326937994
the lambda is 0.626445636547365
the regulation term lambda/alpha is 1.7474547551675172
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35999372938985835
the lambda is 0.41489354074560375
the regulation term lambda/alpha is 1.1525021323254527
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25673309056300775
the lambda is 0.46586403056445946
the regulation term lambda/alpha is 1.8145850600825706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34406143370346604
the lambda is 0.5678518264650373
the regulation term lambda/alpha is 1.6504373081071562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2608769819169015
the lambda is 0.4284356053216368
the regulation term lambda/alpha is 1.6422897956482363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3315738695440548
the lambda is 0.5649831353766238
the regulation term lambda/alpha is 1.7039434867214616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34987905389367174
the lambda is 0.48965340746911973
the regulation term lambda/alpha is 1.399493344971504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3864875108971464
the lambda is 0.6407505972319164
the regulation term lambda/alpha is 1.6578817663332865
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28357580076084044
the lambda is 0.4702862864561523
the regulation term lambda/alpha is 1.6584147349469287
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32867812546081954
the lambda is 0.5242091767963178
the regulation term lambda/alpha is 1.5949013219585457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26416290475982057
the lambda is 0.4903600559289409
the regulation term lambda/alpha is 1.8562790122813835
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33824343801163925
the lambda is 0.4911606161044308
the regulation term lambda/alpha is 1.4520920760258165
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2841203698556103
the lambda is 0.46777439468163434
the regulation term lambda/alpha is 1.6463951349892894
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.3414793496685748
the lambda is 0.3919512868097225
the regulation term lambda/alpha is 1.147803775514196
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31888691436801736
the lambda is 0.45583534669239784
the regulation term lambda/alpha is 1.4294576734068574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28928000157129813
the lambda is 0.46541756366565235
the regulation term lambda/alpha is 1.6088826090210804
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27772472007432514
the lambda is 0.4873286237755766
the regulation term lambda/alpha is 1.7547182103384853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30668255316787413
the lambda is 0.41404375931230164
the regulation term lambda/alpha is 1.3500727544995341
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.45603372191086167
the lambda is 0.5855894061560327
the regulation term lambda/alpha is 1.2840923335719778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268685212960248
the lambda is 0.5715747045486582
the regulation term lambda/alpha is 1.748637960860777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3218531192557511
the lambda is 0.5154450541274188
the regulation term lambda/alpha is 1.601491560247504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34582073279124254
the lambda is 0.6249690549992042
the regulation term lambda/alpha is 1.80720528221329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29469209166708155
the lambda is 0.5052267413866036
the regulation term lambda/alpha is 1.7144224621995168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319253426638027
the lambda is 0.43205006504419663
the regulation term lambda/alpha is 1.3533137908463537
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30195695733515426
the lambda is 0.40912610305792785
the regulation term lambda/alpha is 1.3549153053752034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3247305918554743
the lambda is 0.5719954442250192
the regulation term lambda/alpha is 1.7614461297184882
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2614119530006421
the lambda is 0.5003226571425453
the regulation term lambda/alpha is 1.9139241775272469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38527563158079553
the lambda is 0.4489959729253075
the regulation term lambda/alpha is 1.1653889738187329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30340479958097777
the lambda is 0.44917323949065374
the regulation term lambda/alpha is 1.4804421027979515
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3445949985456576
the lambda is 0.44412877288523017
the regulation term lambda/alpha is 1.2888427712521913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3121822674324036
the lambda is 0.4828994571403921
the regulation term lambda/alpha is 1.5468510146719132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4428687097928968
the lambda is 0.5298189326392343
the regulation term lambda/alpha is 1.1963340848510136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35453165196295644
the lambda is 0.6221885073949502
the regulation term lambda/alpha is 1.7549589830697547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32391753065164935
the lambda is 0.4222135611578806
the regulation term lambda/alpha is 1.303460051416426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32517305364657767
the lambda is 0.5711999336883083
the regulation term lambda/alpha is 1.756602914302767
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33245933189699656
the lambda is 0.5098551708626649
the regulation term lambda/alpha is 1.5335865832174311
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3631423532046497
the lambda is 0.48543308350997727
the regulation term lambda/alpha is 1.3367570023880149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33279004846311805
the lambda is 0.49602007689107475
the regulation term lambda/alpha is 1.490489511876275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3617148976467468
the lambda is 0.5505330091282967
the regulation term lambda/alpha is 1.522008113876335
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31344332513612916
the lambda is 0.48822782103487294
the regulation term lambda/alpha is 1.557627111130328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32455573253985537
the lambda is 0.4474882273630013
the regulation term lambda/alpha is 1.3787716022179637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37298739803888864
the lambda is 0.5135634419871963
the regulation term lambda/alpha is 1.3768922078532284
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3513329117700881
the lambda is 0.4945107976109228
the regulation term lambda/alpha is 1.407527678290869
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27101668367158877
the lambda is 0.4412976047468238
the regulation term lambda/alpha is 1.6283042016762967
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36156672275662466
the lambda is 0.5087701421638674
the regulation term lambda/alpha is 1.4071265692952815
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2952047557876053
the lambda is 0.49004517606557957
the regulation term lambda/alpha is 1.6600178908301821
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3943751230746455
the lambda is 0.4594353802892278
the regulation term lambda/alpha is 1.1649704897899151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2928519392415868
the lambda is 0.5141633097016419
the regulation term lambda/alpha is 1.7557107903509062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33538835547699464
the lambda is 0.53560280058059
the regulation term lambda/alpha is 1.596963018644005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2975341615995443
the lambda is 0.5012808701059265
the regulation term lambda/alpha is 1.6847842527091323
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2818711314316268
the lambda is 0.4605248283233473
the regulation term lambda/alpha is 1.6338133883535226
340
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30724935391643715
the lambda is 0.5213559574888267
the regulation term lambda/alpha is 1.696849646201763
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30636732957983576
the lambda is 0.5017685996280875
the regulation term lambda/alpha is 1.6378006111690588
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2897738825701118
the lambda is 0.46764515894626996
the regulation term lambda/alpha is 1.6138278398265296
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3178034815263601
the lambda is 0.42697910716883497
the regulation term lambda/alpha is 1.3435318742202618
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3435376219790833
the lambda is 0.5779135175247383
the regulation term lambda/alpha is 1.6822422947316242
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3175313487611536
the lambda is 0.465059141511993
the regulation term lambda/alpha is 1.4646085916443152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2799915946253105
the lambda is 0.494456952719313
the regulation term lambda/alpha is 1.765970701302672
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30250924448032224
the lambda is 0.5424751711278782
the regulation term lambda/alpha is 1.7932515485924776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38562495402363434
the lambda is 0.5588633688121288
the regulation term lambda/alpha is 1.4492406753787956
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37677070323879647
the lambda is 0.593595767741259
the regulation term lambda/alpha is 1.575482813919954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31576520265930585
the lambda is 0.4400941731705234
the regulation term lambda/alpha is 1.3937386686821285
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4088739939542418
the lambda is 0.5209660778911548
the regulation term lambda/alpha is 1.274148235383876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936612969023601
the lambda is 0.5292158319196616
the regulation term lambda/alpha is 1.8021299963666013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4102398806751172
the lambda is 0.563903795787873
the regulation term lambda/alpha is 1.3745708848683276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32655853710481475
the lambda is 0.4838477845626539
the regulation term lambda/alpha is 1.4816571290780691
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34670655935401024
the lambda is 0.5266058728623585
the regulation term lambda/alpha is 1.5188806172099536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36588781443597046
the lambda is 0.49159429717980535
the regulation term lambda/alpha is 1.3435656443973574
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31859068349302083
the lambda is 0.425784603147546
the regulation term lambda/alpha is 1.3364628195628747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3567135995644937
the lambda is 0.551338251585883
the regulation term lambda/alpha is 1.5456047996460005
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3223049962440484
the lambda is 0.49217895779626997
the regulation term lambda/alpha is 1.5270596594276606
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28298729482816265
the lambda is 0.47580725316641015
the regulation term lambda/alpha is 1.6813731989463798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27827792878029156
the lambda is 0.5028332397450289
the regulation term lambda/alpha is 1.8069461776899678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31835016505852065
the lambda is 0.5075435723509522
the regulation term lambda/alpha is 1.5942934166773655
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3199772148910257
the lambda is 0.49186859815294354
the regulation term lambda/alpha is 1.5371988231113853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3500523455396773
the lambda is 0.4788848968085575
the regulation term lambda/alpha is 1.3680379603520683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289544437129022
the lambda is 0.47544685554209903
the regulation term lambda/alpha is 1.4453273534649353
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32549300213322346
the lambda is 0.5377721273778386
the regulation term lambda/alpha is 1.6521772322396346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32103636412764364
the lambda is 0.4565028575232851
the regulation term lambda/alpha is 1.4219661961464907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3396817643628364
the lambda is 0.6601309362353317
the regulation term lambda/alpha is 1.943380556426345
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.2969890074577561
the lambda is 0.5479105894126108
the regulation term lambda/alpha is 1.8448850821205764
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30549329468693454
the lambda is 0.46026542520462776
the regulation term lambda/alpha is 1.5066302050141613
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34040111080907814
the lambda is 0.5691139521919556
the regulation term lambda/alpha is 1.6718921710897598
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3617681527773931
the lambda is 0.46107425453395434
the regulation term lambda/alpha is 1.2745020560659117
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30490065653501014
the lambda is 0.5206105060232122
the regulation term lambda/alpha is 1.7074758445573675
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3382362125651557
the lambda is 0.49914275943047637
the regulation term lambda/alpha is 1.4757224119943237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36491703372521145
the lambda is 0.48419238799186504
the regulation term lambda/alpha is 1.3268560884896097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2890173610190388
the lambda is 0.5350045435996128
the regulation term lambda/alpha is 1.8511155928946765
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39375118760836086
the lambda is 0.5277938723583342
the regulation term lambda/alpha is 1.340424839259906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26404996378288986
the lambda is 0.5869751183530371
the regulation term lambda/alpha is 2.222969887758312
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27816273844547956
the lambda is 0.4783999404680319
the regulation term lambda/alpha is 1.7198563083667628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3054542680858329
the lambda is 0.47795177747697243
the regulation term lambda/alpha is 1.5647245018775364
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29292447532524146
the lambda is 0.4599809058641539
the regulation term lambda/alpha is 1.5703054698772627
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.40153395294462924
the lambda is 0.5994853226030336
the regulation term lambda/alpha is 1.4929878736449005
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2951903768649297
the lambda is 0.46299115808344105
the regulation term lambda/alpha is 1.5684493613939587
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34072193216699753
the lambda is 0.6115244008974013
the regulation term lambda/alpha is 1.7947902473083999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34285049674944607
the lambda is 0.48106221874719957
the regulation term lambda/alpha is 1.403125336868793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3208132807971307
the lambda is 0.4544918059650576
the regulation term lambda/alpha is 1.4166863816727706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.446472862976629
the lambda is 0.5591764961804412
the regulation term lambda/alpha is 1.252431093913342
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.260432617485146
the lambda is 0.4350716895024209
the regulation term lambda/alpha is 1.670572963185902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936847908334173
the lambda is 0.5039577340340063
the regulation term lambda/alpha is 1.7159817251818776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35065462718198687
the lambda is 0.5227804057988137
the regulation term lambda/alpha is 1.4908698339448831
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26735448504168335
the lambda is 0.5477456824425796
the regulation term lambda/alpha is 2.0487618988594125
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28206303771466235
the lambda is 0.4926067575184743
the regulation term lambda/alpha is 1.7464420773089737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295810230338523
the lambda is 0.49340376478411185
the regulation term lambda/alpha is 1.4970636362562442
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2931887946718028
the lambda is 0.500580390853299
the regulation term lambda/alpha is 1.707365356215784
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.367609391306959
the lambda is 0.5268419780623357
the regulation term lambda/alpha is 1.43315701535605
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32324252153837607
the lambda is 0.5418350998249675
the regulation term lambda/alpha is 1.6762494527213359
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2880452370354117
the lambda is 0.4500596447780826
the regulation term lambda/alpha is 1.5624616793186314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35188026825724505
the lambda is 0.45873877539394364
the regulation term lambda/alpha is 1.3036785997292089
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.301993583041584
the lambda is 0.4940253685887748
the regulation term lambda/alpha is 1.6358803508773507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25829847083337776
the lambda is 0.46787292875605435
the regulation term lambda/alpha is 1.8113654612298038
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3101830000356214
the lambda is 0.49459989913143965
the regulation term lambda/alpha is 1.5945422511054437
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3039513285144894
the lambda is 0.4749417553870941
the regulation term lambda/alpha is 1.5625585770863097
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2461331947933605
the lambda is 0.5095798611728934
the regulation term lambda/alpha is 2.0703418797318576
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30602812332836354
the lambda is 0.5698927601463227
the regulation term lambda/alpha is 1.862223490926801
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2718592681739043
the lambda is 0.5038215409822293
the regulation term lambda/alpha is 1.853243938918949
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3366373894157668
the lambda is 0.48605807712854665
the regulation term lambda/alpha is 1.4438624241118878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36775683844404844
the lambda is 0.5519622507148887
the regulation term lambda/alpha is 1.5008891555904154
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25045948581328625
the lambda is 0.42296293100106375
the regulation term lambda/alpha is 1.6887479011929944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.334021144179557
the lambda is 0.5346831437675607
the regulation term lambda/alpha is 1.6007463990966257
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3356954663325617
the lambda is 0.5136746411349496
the regulation term lambda/alpha is 1.5301804541681545
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3051783159622175
the lambda is 0.5025516395841928
the regulation term lambda/alpha is 1.646747535124386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3380568823259344
the lambda is 0.44159055300416333
the regulation term lambda/alpha is 1.306261094185942
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25500415524546516
the lambda is 0.45313842000343696
the regulation term lambda/alpha is 1.776984455673866
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30981145555271217
the lambda is 0.534670456284896
the regulation term lambda/alpha is 1.7257930483268578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4087858167962454
the lambda is 0.5374695493234866
the regulation term lambda/alpha is 1.314795003250766
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33472720388861293
the lambda is 0.5436667883139404
the regulation term lambda/alpha is 1.624208555498394
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2627487755926086
the lambda is 0.48882629991999954
the regulation term lambda/alpha is 1.8604322658307022
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2554261001734912
the lambda is 0.4416242414013229
the regulation term lambda/alpha is 1.7289706928985005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32800446467166305
the lambda is 0.4849507975948365
the regulation term lambda/alpha is 1.4784884043583946
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3205726254635662
the lambda is 0.46595162357510894
the regulation term lambda/alpha is 1.4534978552872895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33072893509452667
the lambda is 0.5057726568413201
the regulation term lambda/alpha is 1.52926642689054
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24446546304686562
the lambda is 0.4061396705930044
the regulation term lambda/alpha is 1.661337620173958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27796725593790916
the lambda is 0.47237947882672987
the regulation term lambda/alpha is 1.6994069219874137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2709968511288961
the lambda is 0.4720429903444855
the regulation term lambda/alpha is 1.7418762925771578
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30585693033371536
the lambda is 0.5277252238635156
the regulation term lambda/alpha is 1.7253989415499706
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32029304122924757
the lambda is 0.5395392661773841
the regulation term lambda/alpha is 1.6845176033381648
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33428962334519535
the lambda is 0.5710603947984995
the regulation term lambda/alpha is 1.708280350086754
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3442522461508082
the lambda is 0.5626958787193005
the regulation term lambda/alpha is 1.634545264441928
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3041902672926186
the lambda is 0.4846011684787732
the regulation term lambda/alpha is 1.5930857117548956
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27276231617800295
the lambda is 0.567714013296861
the regulation term lambda/alpha is 2.081350610494063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29789634880977556
the lambda is 0.5301838168467744
the regulation term lambda/alpha is 1.7797593658501942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2911741092621826
the lambda is 0.5388145832842416
the regulation term lambda/alpha is 1.850489333167584
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2938771250409938
the lambda is 0.5141159656429991
the regulation term lambda/alpha is 1.749424918905422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3096538195684485
the lambda is 0.47847400942263657
the regulation term lambda/alpha is 1.5451900773885678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28953860683294064
the lambda is 0.4393876908599855
the regulation term lambda/alpha is 1.517544398193176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2682805205498688
the lambda is 0.40437397338549863
the regulation term lambda/alpha is 1.5072804114018126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3688743196444611
the lambda is 0.5320731387378971
the regulation term lambda/alpha is 1.4424239108071684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34196330418622173
the lambda is 0.5205386089368735
the regulation term lambda/alpha is 1.5222060453989699
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3238868176118592
the lambda is 0.6174324962480504
the regulation term lambda/alpha is 1.9063217848772458
350
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32058923017501934
the lambda is 0.4588323974175755
the regulation term lambda/alpha is 1.4312158807302573
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23833776554909822
the lambda is 0.45275447563226595
the regulation term lambda/alpha is 1.8996338015890197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29225831693956916
the lambda is 0.4130000227569135
the regulation term lambda/alpha is 1.413133515178322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2858011062245364
the lambda is 0.5573832958988126
the regulation term lambda/alpha is 1.950248910026649
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.356251414472647
the lambda is 0.5064664143848435
the regulation term lambda/alpha is 1.4216544659466328
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28311179221295124
the lambda is 0.4917583087053758
the regulation term lambda/alpha is 1.7369757185369539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3752183613057947
the lambda is 0.4958548271955718
the regulation term lambda/alpha is 1.3215100281072358
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3512444219955384
the lambda is 0.4524400275833017
the regulation term lambda/alpha is 1.2881059434704667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30268691065140496
the lambda is 0.5592214049128214
the regulation term lambda/alpha is 1.8475242411683244
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33223619988839964
the lambda is 0.45382670483942206
the regulation term lambda/alpha is 1.3659760886738577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3107713438412194
the lambda is 0.5211989992957093
the regulation term lambda/alpha is 1.6771140892643002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3210990019127521
the lambda is 0.5212404360499112
the regulation term lambda/alpha is 1.6233013274564487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32527848009211285
the lambda is 0.5220369370931983
the regulation term lambda/alpha is 1.6048923277843867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397362593491793
the lambda is 0.5095348209686685
the regulation term lambda/alpha is 1.4997952292309522
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33048209591757777
the lambda is 0.49330779396347685
the regulation term lambda/alpha is 1.492691434898512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33512533877508804
the lambda is 0.5866898590650548
the regulation term lambda/alpha is 1.750658011147282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3030109258656935
the lambda is 0.5443898844106005
the regulation term lambda/alpha is 1.7966015015969945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3540549023776177
the lambda is 0.4978887846270611
the regulation term lambda/alpha is 1.406247396331875
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3272256495771858
the lambda is 0.5083689471130364
the regulation term lambda/alpha is 1.553573039796572
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2751529373095245
the lambda is 0.4698862425643247
the regulation term lambda/alpha is 1.7077275174996267
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35877010285445676
the lambda is 0.501388119262904
the regulation term lambda/alpha is 1.3975192338317652
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33698031916624405
the lambda is 0.5057081090270532
the regulation term lambda/alpha is 1.5007051755374767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25997540645583356
the lambda is 0.5328710578020072
the regulation term lambda/alpha is 2.049697950534929
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.298356857686431
the lambda is 0.5511246445518792
the regulation term lambda/alpha is 1.8471995208204788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980845800598389
the lambda is 0.4696156133547695
the regulation term lambda/alpha is 1.575444168431982
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3570999593508133
the lambda is 0.4757038027615377
the regulation term lambda/alpha is 1.3321306550309868
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28170600370773574
the lambda is 0.5001300891010307
the regulation term lambda/alpha is 1.7753618400689306
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3113335127240674
the lambda is 0.47471481152460526
the regulation term lambda/alpha is 1.5247790299573099
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3376145298133604
the lambda is 0.5063982238875535
the regulation term lambda/alpha is 1.4999301841881625
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2924116540509161
the lambda is 0.5229151294903006
the regulation term lambda/alpha is 1.7882841612025768
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4022802400003671
the lambda is 0.6025536031724666
the regulation term lambda/alpha is 1.4978453904967264
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3770800516356261
the lambda is 0.5047093559177048
the regulation term lambda/alpha is 1.3384673989739648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3322750170245176
the lambda is 0.4908050041688646
the regulation term lambda/alpha is 1.4771047446298062
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34039303557073186
the lambda is 0.39851433290030647
the regulation term lambda/alpha is 1.1707476101328675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3228422328257734
the lambda is 0.4300596021013053
the regulation term lambda/alpha is 1.3321045339609991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32430344539123107
the lambda is 0.4982474659769987
the regulation term lambda/alpha is 1.5363619260224823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35651078123054447
the lambda is 0.4708787892462098
the regulation term lambda/alpha is 1.3207981750815752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3430485269685096
the lambda is 0.5456475831376429
the regulation term lambda/alpha is 1.590584247539215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35148731229794195
the lambda is 0.5975206306487904
the regulation term lambda/alpha is 1.699977807854116
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31968092033570944
the lambda is 0.49779605250524633
the regulation term lambda/alpha is 1.557165350945847
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3082774771887398
the lambda is 0.49786221102440714
the regulation term lambda/alpha is 1.6149808139230228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3259901698131462
the lambda is 0.4924571211179508
the regulation term lambda/alpha is 1.510650218073206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787855984263041
the lambda is 0.4703434728467476
the regulation term lambda/alpha is 1.6871153872429354
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3487002839876926
the lambda is 0.5168916739943046
the regulation term lambda/alpha is 1.482337978286672
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36052430299229843
the lambda is 0.5433623452723592
the regulation term lambda/alpha is 1.5071448464431718
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27203061624127456
the lambda is 0.49110112461479927
the regulation term lambda/alpha is 1.8053156346902606
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34367253408163767
the lambda is 0.5114455810732316
the regulation term lambda/alpha is 1.4881770591296082
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29692123040142737
the lambda is 0.44286551698222504
the regulation term lambda/alpha is 1.4915252654163058
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2853875899405521
the lambda is 0.395064860289082
the regulation term lambda/alpha is 1.3843098796670743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112289005312537
the lambda is 0.522220149799939
the regulation term lambda/alpha is 1.6779294882593898
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35127890192234806
the lambda is 0.49525435323456374
the regulation term lambda/alpha is 1.4098607987109972
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3039405789330296
the lambda is 0.5122434899879482
the regulation term lambda/alpha is 1.6853409037587448
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27427230597559044
the lambda is 0.49951877545330803
the regulation term lambda/alpha is 1.8212512330638442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2788853456081505
the lambda is 0.4918942316816029
the regulation term lambda/alpha is 1.7637865862365598
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2911086179964545
the lambda is 0.47288502758734524
the regulation term lambda/alpha is 1.6244281287237765
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3823689008049098
the lambda is 0.5536842059987412
the regulation term lambda/alpha is 1.4480367122775997
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3244064576045297
the lambda is 0.5530742407259679
the regulation term lambda/alpha is 1.704880491004891
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2907086274581286
the lambda is 0.5193821711606743
the regulation term lambda/alpha is 1.7866073521862782
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2890407444462995
the lambda is 0.4080449431658123
the regulation term lambda/alpha is 1.4117211881234357
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30324858566463697
the lambda is 0.3921306264389389
the regulation term lambda/alpha is 1.2930996053270853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2975851033700385
the lambda is 0.45088882538859537
the regulation term lambda/alpha is 1.515159261275011
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31574924576563224
the lambda is 0.4605992603379714
the regulation term lambda/alpha is 1.4587501522643553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2709005703717604
the lambda is 0.4420040358746206
the regulation term lambda/alpha is 1.6316098385029336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35598108488065533
the lambda is 0.5899557924053658
the regulation term lambda/alpha is 1.6572672466660743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.325649311645884
the lambda is 0.5523522184882728
the regulation term lambda/alpha is 1.6961565670033072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3126205241864978
the lambda is 0.5340487306068303
the regulation term lambda/alpha is 1.7082970863686375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222412083403361
the lambda is 0.47543615037769493
the regulation term lambda/alpha is 1.4754045667416984
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3103201932625786
the lambda is 0.47735387371763965
the regulation term lambda/alpha is 1.5382623628160894
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2948044639866142
the lambda is 0.4871264898951954
the regulation term lambda/alpha is 1.6523714848405882
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2639947292708789
the lambda is 0.47932949365002864
the regulation term lambda/alpha is 1.8156782712059363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.346308899030095
the lambda is 0.4750946491473898
the regulation term lambda/alpha is 1.3718811456418942
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36453932052784965
the lambda is 0.4356879259556974
the regulation term lambda/alpha is 1.1951740221735894
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3040602785340701
the lambda is 0.4556665556235366
the regulation term lambda/alpha is 1.498605992931362
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2897094760863169
the lambda is 0.4615836681559146
the regulation term lambda/alpha is 1.593263963579807
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138115749974176
the lambda is 0.37580362630500674
the regulation term lambda/alpha is 1.1975454579968865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2871606088308769
the lambda is 0.5424017355332034
the regulation term lambda/alpha is 1.888844496261152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34534832927757914
the lambda is 0.4918650378641572
the regulation term lambda/alpha is 1.4242577599638913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30980845119181966
the lambda is 0.5860027335298791
the regulation term lambda/alpha is 1.891500155259006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2942299284406451
the lambda is 0.445376465144862
the regulation term lambda/alpha is 1.513702115570842
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3584451912952442
the lambda is 0.531114503357004
the regulation term lambda/alpha is 1.4817174738425645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4046969193056239
the lambda is 0.5095007278225195
the regulation term lambda/alpha is 1.258968634346704
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28152861927365896
the lambda is 0.4909184495386498
the regulation term lambda/alpha is 1.7437603708113745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32509652713397635
the lambda is 0.49922144172482086
the regulation term lambda/alpha is 1.5356098883181408
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.39351173992100785
the lambda is 0.5126171250686067
the regulation term lambda/alpha is 1.3026730159855144
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29406463657165954
the lambda is 0.594602628921665
the regulation term lambda/alpha is 2.0220133772418722
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32867541280564977
the lambda is 0.5342491698938076
the regulation term lambda/alpha is 1.625461318610152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2830175489099101
the lambda is 0.45745842544426735
the regulation term lambda/alpha is 1.6163606363147647
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3276473352554928
the lambda is 0.4307196111499208
the regulation term lambda/alpha is 1.3145829823827329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3768040881281728
the lambda is 0.5789555016678904
the regulation term lambda/alpha is 1.5364894381691376
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3833887987439792
the lambda is 0.6460513462706436
the regulation term lambda/alpha is 1.6851075158877196
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29093156003654724
the lambda is 0.5209651039144105
the regulation term lambda/alpha is 1.7906792368932616
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27224327236323986
the lambda is 0.4780779650086555
the regulation term lambda/alpha is 1.756068977788297
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3018365962314749
the lambda is 0.4870256945356999
the regulation term lambda/alpha is 1.6135409046363802
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4004021505359311
the lambda is 0.5410018947138031
the regulation term lambda/alpha is 1.3511463262364645
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37394032700983365
the lambda is 0.5207779475281296
the regulation term lambda/alpha is 1.3926766115130302
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3378948152621447
the lambda is 0.5462112880694218
the regulation term lambda/alpha is 1.61651278267073
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29601244922422104
the lambda is 0.43409847283183317
the regulation term lambda/alpha is 1.4664872169042318
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27096454432737965
the lambda is 0.4344817065953611
the regulation term lambda/alpha is 1.6034633153716962
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34865479431202284
the lambda is 0.4755884563722972
the regulation term lambda/alpha is 1.3640668768394366
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3138473132320459
the lambda is 0.5352847147228638
the regulation term lambda/alpha is 1.705557741471236
360
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39203352103097394
the lambda is 0.5689548623234524
the regulation term lambda/alpha is 1.4512913610734328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34415740314003546
the lambda is 0.5809900664979956
the regulation term lambda/alpha is 1.6881521687377283
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36568082354667364
the lambda is 0.562994819306992
the regulation term lambda/alpha is 1.5395798276940116
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2687982041593975
the lambda is 0.44413720552261604
the regulation term lambda/alpha is 1.6523071904871895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2606559175266899
the lambda is 0.4306359452360151
the regulation term lambda/alpha is 1.6521241847191908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28001574667283724
the lambda is 0.5080054308568138
the regulation term lambda/alpha is 1.8142030828371718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2572991952327411
the lambda is 0.5140090205353588
the regulation term lambda/alpha is 1.9977093984705616
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28488146740120895
the lambda is 0.5492658729384013
the regulation term lambda/alpha is 1.9280505606384364
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3851326619314841
the lambda is 0.49388778927515037
the regulation term lambda/alpha is 1.28238354752424
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29540403995934417
the lambda is 0.5237102186344298
the regulation term lambda/alpha is 1.7728607188530898
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27326454624614965
the lambda is 0.482924857489288
the regulation term lambda/alpha is 1.7672430036140938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30631923580765896
the lambda is 0.5185784023743404
the regulation term lambda/alpha is 1.6929345002021394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36887997332441874
the lambda is 0.48973895887416174
the regulation term lambda/alpha is 1.3276376986816012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35383632062349396
the lambda is 0.6174243181666678
the regulation term lambda/alpha is 1.744943303385888
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2888817554210606
the lambda is 0.48333726508679825
the regulation term lambda/alpha is 1.6731318472580878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38442238230346687
the lambda is 0.534943679480916
the regulation term lambda/alpha is 1.391551855736189
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2922681871063136
the lambda is 0.4572854186534581
the regulation term lambda/alpha is 1.5646089407846464
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2931867928591117
the lambda is 0.43598673794259046
the regulation term lambda/alpha is 1.4870613157261146
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2664501676823394
the lambda is 0.41775830437154127
the regulation term lambda/alpha is 1.5678665470745383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3791570982354946
the lambda is 0.5496388710017885
the regulation term lambda/alpha is 1.4496336045393186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34941904112382977
the lambda is 0.5188440576259735
the regulation term lambda/alpha is 1.4848763134293579
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35132948201663655
the lambda is 0.550040759141826
the regulation term lambda/alpha is 1.5655980704624723
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.295062381083825
the lambda is 0.49653832524814023
the regulation term lambda/alpha is 1.6828249112077676
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2740110403257569
the lambda is 0.41312805817268505
the regulation term lambda/alpha is 1.5077058854327163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37486773210664665
the lambda is 0.5405932325694573
the regulation term lambda/alpha is 1.442090599613581
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3369391525031127
the lambda is 0.5327846490386421
the regulation term lambda/alpha is 1.5812488548172512
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3097741450794007
the lambda is 0.4986945097274943
the regulation term lambda/alpha is 1.60986485686102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2689544164834421
the lambda is 0.5047747652508449
the regulation term lambda/alpha is 1.8768041508696356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219817685322687
the lambda is 0.4756995259429061
the regulation term lambda/alpha is 1.4774113705609764
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32359805705702827
the lambda is 0.5443267485311131
the regulation term lambda/alpha is 1.682107591997023
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28151043803628134
the lambda is 0.4517840357153479
the regulation term lambda/alpha is 1.6048571373297411
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28234800576658564
the lambda is 0.5074505870024003
the regulation term lambda/alpha is 1.7972522441752423
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2785565322072189
the lambda is 0.4825947087012164
the regulation term lambda/alpha is 1.7324839050703469
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3145529789503905
the lambda is 0.5466299168041976
the regulation term lambda/alpha is 1.7377992051711229
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33760509772160063
the lambda is 0.5559398109445518
the regulation term lambda/alpha is 1.646716280934231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323937342165771
the lambda is 0.5432947556905993
the regulation term lambda/alpha is 1.6771600089642482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3286037370453235
the lambda is 0.5252880968035257
the regulation term lambda/alpha is 1.5985457180941132
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27856020178618857
the lambda is 0.4543528659908794
the regulation term lambda/alpha is 1.6310760226244454
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31863649728240145
the lambda is 0.5190100641758497
the regulation term lambda/alpha is 1.6288468791315547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37179060469383723
the lambda is 0.5282737742089852
the regulation term lambda/alpha is 1.4208905968562844
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3475445434894568
the lambda is 0.4992335738112526
the regulation term lambda/alpha is 1.4364592486441885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.364155243497376
the lambda is 0.5563819671381391
the regulation term lambda/alpha is 1.5278702615802051
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2803128247622587
the lambda is 0.5712627714875071
the regulation term lambda/alpha is 2.0379473253569875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.275771353151154
the lambda is 0.5166044294028654
the regulation term lambda/alpha is 1.873307083929445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3405075649498423
the lambda is 0.48815692270272154
the regulation term lambda/alpha is 1.4336154991875978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2633601839909379
the lambda is 0.473003322363705
the regulation term lambda/alpha is 1.796032016669539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33695430729082093
the lambda is 0.5974385588540745
the regulation term lambda/alpha is 1.7730551173469136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33185002881130404
the lambda is 0.4782212774730086
the regulation term lambda/alpha is 1.4410764982784856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33211664541221986
the lambda is 0.532495651377429
the regulation term lambda/alpha is 1.6033392446093775
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3359045548432529
the lambda is 0.49464806524141797
the regulation term lambda/alpha is 1.4725851677487418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4090486564318627
the lambda is 0.5935640634944481
the regulation term lambda/alpha is 1.4510842516196385
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29298793071815543
the lambda is 0.5650508868726605
the regulation term lambda/alpha is 1.9285807626533957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30934410357380393
the lambda is 0.5990930402564225
the regulation term lambda/alpha is 1.9366557608022734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28097594338015913
the lambda is 0.4823117335337117
the regulation term lambda/alpha is 1.7165588189916536
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3992924893488355
the lambda is 0.5386489491417717
the regulation term lambda/alpha is 1.3490084675026024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.392890723705329
the lambda is 0.536996950630501
the regulation term lambda/alpha is 1.3667844981579478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28179453693432804
the lambda is 0.4987161304536705
the regulation term lambda/alpha is 1.7697863694564664
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2995339400588335
the lambda is 0.5289130234481856
the regulation term lambda/alpha is 1.76578661952064
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39020021632758517
the lambda is 0.48804675333600456
the regulation term lambda/alpha is 1.2507598225580536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37577060531066225
the lambda is 0.5600695315167034
the regulation term lambda/alpha is 1.4904559420066266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34549299388893157
the lambda is 0.5698972722624696
the regulation term lambda/alpha is 1.6495190418989483
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4081523290073046
the lambda is 0.5971767466062504
the regulation term lambda/alpha is 1.4631222319830568
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34692481282581655
the lambda is 0.462243470799396
the regulation term lambda/alpha is 1.3324024506470755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3489740801645531
the lambda is 0.5621482742951006
the regulation term lambda/alpha is 1.610859677687319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34888720341549223
the lambda is 0.5423744928840455
the regulation term lambda/alpha is 1.5545840821170156
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30108070411283633
the lambda is 0.47017261760942186
the regulation term lambda/alpha is 1.5616165738512913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2937883914855314
the lambda is 0.47429924642920535
the regulation term lambda/alpha is 1.6144247362223088
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38883950396354605
the lambda is 0.5370736583911945
the regulation term lambda/alpha is 1.3812219512592154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38950318512515547
the lambda is 0.5409283835168475
the regulation term lambda/alpha is 1.3887649810695024
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2723460238571467
the lambda is 0.5269353057566025
the regulation term lambda/alpha is 1.9348008033816393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3562568480805564
the lambda is 0.431600697110855
the regulation term lambda/alpha is 1.2114874406940859
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32032953535465053
the lambda is 0.5053118083790346
the regulation term lambda/alpha is 1.5774749206924745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2620398962229007
the lambda is 0.49531274344199305
the regulation term lambda/alpha is 1.8902188200405252
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2545710455213985
the lambda is 0.49801450140801923
the regulation term lambda/alpha is 1.9562888638337215
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33829155411629536
the lambda is 0.49802889595176403
the regulation term lambda/alpha is 1.4721883827479634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2553487062944854
the lambda is 0.5029738400454992
the regulation term lambda/alpha is 1.969752842473522
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3755097171189118
the lambda is 0.511301349550754
the regulation term lambda/alpha is 1.3616194900992173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973741049050169
the lambda is 0.49941350530453454
the regulation term lambda/alpha is 1.6794115461534562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3191844761395572
the lambda is 0.5239305341099747
the regulation term lambda/alpha is 1.6414662155464488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26861938921090694
the lambda is 0.4489782327490163
the regulation term lambda/alpha is 1.6714289838418936
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36265930203666324
the lambda is 0.4814135107236078
the regulation term lambda/alpha is 1.3274539161687875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3429868559352369
the lambda is 0.5437626690204197
the regulation term lambda/alpha is 1.5853746568151097
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28548675388890526
the lambda is 0.4618150840490398
the regulation term lambda/alpha is 1.617641021021771
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32901476281813075
the lambda is 0.5503503923715966
the regulation term lambda/alpha is 1.6727224871542112
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2803771469728683
the lambda is 0.4976620324550927
the regulation term lambda/alpha is 1.774973594774651
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3153616905181938
the lambda is 0.4842802144733516
the regulation term lambda/alpha is 1.5356342543623338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27034311132362426
the lambda is 0.5676939445750715
the regulation term lambda/alpha is 2.0999016464506557
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4562248765785742
the lambda is 0.5339042283649663
the regulation term lambda/alpha is 1.170265489179246
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34235420518766774
the lambda is 0.5392441971751036
the regulation term lambda/alpha is 1.5751061006524136
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.326726012573279
the lambda is 0.5146679419428789
the regulation term lambda/alpha is 1.5752279345295404
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30666563455395884
the lambda is 0.5001344870331866
the regulation term lambda/alpha is 1.630878816143275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3621725214748856
the lambda is 0.4994265657942774
the regulation term lambda/alpha is 1.378974207541887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33095951874366103
the lambda is 0.4679786778704691
the regulation term lambda/alpha is 1.414005796379387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34390738361456114
the lambda is 0.41360218348186173
the regulation term lambda/alpha is 1.2026557241510465
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192977255933402
the lambda is 0.45926071447321526
the regulation term lambda/alpha is 1.4383463384206279
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27128671549575606
the lambda is 0.43980105363674127
the regulation term lambda/alpha is 1.6211669371020911
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3095010104999793
the lambda is 0.49011997532356144
the regulation term lambda/alpha is 1.5835811796924464
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3239493679832312
the lambda is 0.526187613499307
the regulation term lambda/alpha is 1.6242896745720596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2383612410259366
the lambda is 0.4955982164053709
the regulation term lambda/alpha is 2.0791896126746705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2986005911563277
the lambda is 0.4741989119553738
the regulation term lambda/alpha is 1.588070908095136
370
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3109307053027148
the lambda is 0.49360389578338976
the regulation term lambda/alpha is 1.5875045061980244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2735713805742206
the lambda is 0.46630058992847845
the regulation term lambda/alpha is 1.704493317063076
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3492282095921345
the lambda is 0.5078669898272802
the regulation term lambda/alpha is 1.454255343290912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3183528236008251
the lambda is 0.5016914894408904
the regulation term lambda/alpha is 1.5758977217992234
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3327889586530439
the lambda is 0.5004377075428039
the regulation term lambda/alpha is 1.5037689638752278
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32151913748837424
the lambda is 0.5132527362712023
the regulation term lambda/alpha is 1.596336505131863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37759532421875225
the lambda is 0.618772030861397
the regulation term lambda/alpha is 1.6387174076947093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3723373151896273
the lambda is 0.5553823424095429
the regulation term lambda/alpha is 1.491610751199333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2914361944834031
the lambda is 0.5388657914603447
the regulation term lambda/alpha is 1.8490009191052366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2918791282353253
the lambda is 0.5691883676326636
the regulation term lambda/alpha is 1.9500824573306244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100840971772046
the lambda is 0.5757704465566043
the regulation term lambda/alpha is 1.8568203006798094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31990975090285007
the lambda is 0.4657648051936777
the regulation term lambda/alpha is 1.4559256286474394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3203987436723171
the lambda is 0.5229702506913653
the regulation term lambda/alpha is 1.6322481314915052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.355511258602828
the lambda is 0.46187743487936217
the regulation term lambda/alpha is 1.2991921456849413
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3147341416555279
the lambda is 0.5761686931913181
the regulation term lambda/alpha is 1.830652023198445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34931597957162835
the lambda is 0.44734162061170857
the regulation term lambda/alpha is 1.2806216914562298
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2953938733904702
the lambda is 0.47131864804933243
the regulation term lambda/alpha is 1.5955599980447592
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3733730525430835
the lambda is 0.542766447725003
the regulation term lambda/alpha is 1.4536840407419955
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26166192793897536
the lambda is 0.5171237621579573
the regulation term lambda/alpha is 1.9763049452060928
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31535258084972284
the lambda is 0.49522009409374884
the regulation term lambda/alpha is 1.570369561458384
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33818866347639887
the lambda is 0.46014171673369275
the regulation term lambda/alpha is 1.360606567954353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2956043328400029
the lambda is 0.498878595778706
the regulation term lambda/alpha is 1.687656574535821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35126837232110397
the lambda is 0.5192864792247468
the regulation term lambda/alpha is 1.4783183461505978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018370905386265
the lambda is 0.46975699781392816
the regulation term lambda/alpha is 1.556326285068709
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38535113693150486
the lambda is 0.5221023976985881
the regulation term lambda/alpha is 1.3548744188378778
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25920643710371855
the lambda is 0.5109542543984816
the regulation term lambda/alpha is 1.9712251752221301
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2753785181766021
the lambda is 0.4716027778518706
the regulation term lambda/alpha is 1.7125619709720008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3836223094522395
the lambda is 0.5271576748561082
the regulation term lambda/alpha is 1.3741580243568672
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.24327464252915104
the lambda is 0.5207352856287742
the regulation term lambda/alpha is 2.1405243070755957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2986172537580254
the lambda is 0.47655239349876066
the regulation term lambda/alpha is 1.5958635594610322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32731984601560393
the lambda is 0.5058695623458216
the regulation term lambda/alpha is 1.5454900413270567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125624461254151
the lambda is 0.4848321953177427
the regulation term lambda/alpha is 1.5511530618211398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32123303058461145
the lambda is 0.5173816072619025
the regulation term lambda/alpha is 1.6106114813919372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2907348883558383
the lambda is 0.5382993361301355
the regulation term lambda/alpha is 1.8515126931422705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3575523434351341
the lambda is 0.478373626260819
the regulation term lambda/alpha is 1.3379121548048358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3179434649424478
the lambda is 0.4567696547013043
the regulation term lambda/alpha is 1.4366379720494837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2877708044137633
the lambda is 0.5858298825332876
the regulation term lambda/alpha is 2.035751624375933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36308002123148414
the lambda is 0.5336773826131285
the regulation term lambda/alpha is 1.4698616046209791
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31699438662117685
the lambda is 0.48860817040336924
the regulation term lambda/alpha is 1.541377989722193
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35776602585089956
the lambda is 0.5274429856914317
the regulation term lambda/alpha is 1.4742679505047405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3163347051145737
the lambda is 0.5026588134754008
the regulation term lambda/alpha is 1.5890093794588303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2781157581239633
the lambda is 0.3969908470420159
the regulation term lambda/alpha is 1.427430253215163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31196571646440874
the lambda is 0.5344895164130378
the regulation term lambda/alpha is 1.7132956866881113
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2917290158929179
the lambda is 0.5073792489815482
the regulation term lambda/alpha is 1.7392142068164618
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37478832997081724
the lambda is 0.5360875889177147
the regulation term lambda/alpha is 1.4303742834240782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3725129089536415
the lambda is 0.5388060869286267
the regulation term lambda/alpha is 1.44640916858986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3554610951036371
the lambda is 0.5125087129233212
the regulation term lambda/alpha is 1.441813801799873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33013082545712
the lambda is 0.604431866495964
the regulation term lambda/alpha is 1.8308858788300955
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2888884336098281
the lambda is 0.48894327184927505
the regulation term lambda/alpha is 1.6924986083369489
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.250808840919188
the lambda is 0.42874695512643674
the regulation term lambda/alpha is 1.7094571050810023
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.277624637244975
the lambda is 0.47033961628328064
the regulation term lambda/alpha is 1.694156617189038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33210893618700205
the lambda is 0.47112828177189037
the regulation term lambda/alpha is 1.418595618597297
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30675604926432753
the lambda is 0.4509804858294968
the regulation term lambda/alpha is 1.4701600405633501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.296105717703987
the lambda is 0.5548373036222383
the regulation term lambda/alpha is 1.873781120893119
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3069452713478537
the lambda is 0.5186015888386187
the regulation term lambda/alpha is 1.6895571857528309
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3048870838582369
the lambda is 0.5054841132583432
the regulation term lambda/alpha is 1.6579387583810463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30316697929479747
the lambda is 0.4971741599235335
the regulation term lambda/alpha is 1.6399350650919169
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3274270870069922
the lambda is 0.48813389197281554
the regulation term lambda/alpha is 1.4908170745274703
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25792708212355736
the lambda is 0.45459313662979883
the regulation term lambda/alpha is 1.7624870288418593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36830623260741346
the lambda is 0.5044263777066552
the regulation term lambda/alpha is 1.369584147777199
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2798334815229
the lambda is 0.47393260228377715
the regulation term lambda/alpha is 1.693623649695375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29951062176609583
the lambda is 0.5449314853519573
the regulation term lambda/alpha is 1.8194062105000204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3164544316591735
the lambda is 0.47008102221936576
the regulation term lambda/alpha is 1.485461966055355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36922086913194846
the lambda is 0.4949025226425859
the regulation term lambda/alpha is 1.340396938575329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3179189334662559
the lambda is 0.48707173398564185
the regulation term lambda/alpha is 1.5320626823798147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31978119428784185
the lambda is 0.5397192909123191
the regulation term lambda/alpha is 1.6877768316372797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38954135757871333
the lambda is 0.5889432050323916
the regulation term lambda/alpha is 1.5118887727175048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2963939940491667
the lambda is 0.5713046259363384
the regulation term lambda/alpha is 1.9275175523346422
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38797916382727177
the lambda is 0.5416768974956603
the regulation term lambda/alpha is 1.3961494533681058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3528435326557879
the lambda is 0.5561076673210216
the regulation term lambda/alpha is 1.5760744235137376
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30259185883178785
the lambda is 0.5171452575509997
the regulation term lambda/alpha is 1.7090521190739736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33230809357907226
the lambda is 0.6149500527788071
the regulation term lambda/alpha is 1.8505419057224393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35226196310803815
the lambda is 0.5761672072695245
the regulation term lambda/alpha is 1.6356214056889673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3395758155514898
the lambda is 0.5721199799282766
the regulation term lambda/alpha is 1.684807791741948
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35654605830245933
the lambda is 0.47036310843237156
the regulation term lambda/alpha is 1.3192211706723198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41457710206377457
the lambda is 0.5433594439278788
the regulation term lambda/alpha is 1.3106354432577745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3201721126454246
the lambda is 0.5008377169879655
the regulation term lambda/alpha is 1.5642765163080254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35428977572031567
the lambda is 0.49026881617574275
the regulation term lambda/alpha is 1.3838074078738642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29704422346016635
the lambda is 0.5227342483296684
the regulation term lambda/alpha is 1.7597859410983197
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28332260869493386
the lambda is 0.42492570015237835
the regulation term lambda/alpha is 1.4997945349639035
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3712392878418773
the lambda is 0.5887184483556523
the regulation term lambda/alpha is 1.5858193559686127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3498213435160705
the lambda is 0.5016046595621569
the regulation term lambda/alpha is 1.4338880941926107
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27195995212954294
the lambda is 0.45527071158426596
the regulation term lambda/alpha is 1.6740358571890264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32194668265387427
the lambda is 0.47632679753797147
the regulation term lambda/alpha is 1.4795207504904522
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29110062435602024
the lambda is 0.4298726908918686
the regulation term lambda/alpha is 1.476715111287869
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3242264966812341
the lambda is 0.4424798631114224
the regulation term lambda/alpha is 1.3647245602707483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.23920292065343582
the lambda is 0.4932209633648568
the regulation term lambda/alpha is 2.061935372768503
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26914562326228636
the lambda is 0.4414960123025673
the regulation term lambda/alpha is 1.6403611061968597
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29273260454072264
the lambda is 0.4666380138550169
the regulation term lambda/alpha is 1.594075981345296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3738647671361966
the lambda is 0.5425291886698692
the regulation term lambda/alpha is 1.4511375137744105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023407990326555
the lambda is 0.5131745137338195
the regulation term lambda/alpha is 1.697337955630633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32241846179843936
the lambda is 0.5483796897841983
the regulation term lambda/alpha is 1.7008321630385392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34574050478288165
the lambda is 0.5407126315145162
the regulation term lambda/alpha is 1.5639261932994322
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3463149589698748
the lambda is 0.4921377344162703
the regulation term lambda/alpha is 1.4210698142527545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29416410994625997
the lambda is 0.4707920446807422
the regulation term lambda/alpha is 1.600440124278757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34218801663972354
the lambda is 0.4767283839585871
the regulation term lambda/alpha is 1.393176735526995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2846243151874585
the lambda is 0.5401103126234804
the regulation term lambda/alpha is 1.8976253390992066
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26295558089722104
the lambda is 0.49021036677786434
the regulation term lambda/alpha is 1.8642326019673574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33513701386745276
the lambda is 0.5802255066142294
the regulation term lambda/alpha is 1.7313083383971117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28662599084454415
the lambda is 0.47100893879535344
the regulation term lambda/alpha is 1.6432876076852783
380
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3272597948773194
the lambda is 0.5031049401523787
the regulation term lambda/alpha is 1.5373258433440589
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26925798538990675
the lambda is 0.4667264086286054
the regulation term lambda/alpha is 1.7333800071063774
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.339716550893156
the lambda is 0.4959480390859517
the regulation term lambda/alpha is 1.4598877734453743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32158187543755745
the lambda is 0.5108879852572781
the regulation term lambda/alpha is 1.5886715772216422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879223435385429
the lambda is 0.49805789368830145
the regulation term lambda/alpha is 1.7298341197394034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3539686189756742
the lambda is 0.4912045979928285
the regulation term lambda/alpha is 1.3877066261249151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33406831089977534
the lambda is 0.5696290608655145
the regulation term lambda/alpha is 1.7051274912346004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3028587135555592
the lambda is 0.49551525697572163
the regulation term lambda/alpha is 1.6361267970743716
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2739436306893354
the lambda is 0.47684417226635173
the regulation term lambda/alpha is 1.7406653006184136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3984908778603587
the lambda is 0.5106748520455364
the regulation term lambda/alpha is 1.281522063409667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35416346257879994
the lambda is 0.5433539048927211
the regulation term lambda/alpha is 1.5341896110241102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2963902292362507
the lambda is 0.5370928311661963
the regulation term lambda/alpha is 1.8121138222072875
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30887010576775
the lambda is 0.4353288236205666
the regulation term lambda/alpha is 1.409423623365821
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3442700856441874
the lambda is 0.5143017430718743
the regulation term lambda/alpha is 1.493890304496044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29169941154909307
the lambda is 0.491815016275139
the regulation term lambda/alpha is 1.6860336250365264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38436783010195447
the lambda is 0.6108164898029861
the regulation term lambda/alpha is 1.5891457139921559
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30337639302534014
the lambda is 0.48805331234889
the regulation term lambda/alpha is 1.60873859525426
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2948215420046585
the lambda is 0.5491672455726685
the regulation term lambda/alpha is 1.8627107159082394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3131806986417072
the lambda is 0.5352274131627814
the regulation term lambda/alpha is 1.7090051062664804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25848118887861316
the lambda is 0.45168119254073413
the regulation term lambda/alpha is 1.7474431872597536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31533823643255593
the lambda is 0.5041852203186377
the regulation term lambda/alpha is 1.598871186769233
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32374691201010286
the lambda is 0.48459357821074495
the regulation term lambda/alpha is 1.4968284182294307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3134206182146649
the lambda is 0.4735112318077812
the regulation term lambda/alpha is 1.5107852013854068
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3564438676504263
the lambda is 0.5139651387725643
the regulation term lambda/alpha is 1.4419244807337328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29968364146380655
the lambda is 0.515893281411451
the regulation term lambda/alpha is 1.7214595995015514
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3609024091620308
the lambda is 0.4802025269492867
the regulation term lambda/alpha is 1.330560602419517
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26866990180559264
the lambda is 0.49618836011038303
the regulation term lambda/alpha is 1.846832699813993
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3238056695462738
the lambda is 0.5346777796404211
the regulation term lambda/alpha is 1.6512304444503012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3892467562008007
the lambda is 0.6100500748978348
the regulation term lambda/alpha is 1.5672579544455558
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28595819300695713
the lambda is 0.49221766472639594
the regulation term lambda/alpha is 1.7212924013491044
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3062130433414525
the lambda is 0.5604245238163078
the regulation term lambda/alpha is 1.8301784852168717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2532815186694797
the lambda is 0.5179444370954555
the regulation term lambda/alpha is 2.0449357687694074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159321432027247
the lambda is 0.4762890060916696
the regulation term lambda/alpha is 1.5075674202167153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30575131059310795
the lambda is 0.43399045002809333
the regulation term lambda/alpha is 1.4194230245038761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31257106978432375
the lambda is 0.46564564208477277
the regulation term lambda/alpha is 1.4897272559679677
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3150772183854439
the lambda is 0.47881147817120423
the regulation term lambda/alpha is 1.51966391167469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2993545948034716
the lambda is 0.5317228792224385
the regulation term lambda/alpha is 1.7762308929031752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38337015067190366
the lambda is 0.5110824377455658
the regulation term lambda/alpha is 1.3331304924231335
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25631220435381386
the lambda is 0.4592340671705078
the regulation term lambda/alpha is 1.7916980126961892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29261223208788917
the lambda is 0.4872612957934233
the regulation term lambda/alpha is 1.6652116431245747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28735713438338967
the lambda is 0.4952737644601072
the regulation term lambda/alpha is 1.7235478267239286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28292853890954367
the lambda is 0.4383511573604368
the regulation term lambda/alpha is 1.5493352457476337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3574140669861148
the lambda is 0.5430324783716443
the regulation term lambda/alpha is 1.5193371736897545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31583945236043676
the lambda is 0.536993258834502
the regulation term lambda/alpha is 1.7002095679348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28629551624264266
the lambda is 0.5450442287535341
the regulation term lambda/alpha is 1.9037819240298384
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3471311479118992
the lambda is 0.5354130622773553
the regulation term lambda/alpha is 1.542394180119041
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2677093091574633
the lambda is 0.5251136991576248
the regulation term lambda/alpha is 1.9615070570771949
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3293165077300648
the lambda is 0.4702378415997164
the regulation term lambda/alpha is 1.4279206494718522
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322339017311801
the lambda is 0.510026870958127
the regulation term lambda/alpha is 1.5822684923828945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.340081599948309
the lambda is 0.5126106885346741
the regulation term lambda/alpha is 1.5073167399018024
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2966179075161144
the lambda is 0.4236434346184675
the regulation term lambda/alpha is 1.4282463191992283
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40379440002967526
the lambda is 0.5501694388458606
the regulation term lambda/alpha is 1.3624989321432592
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3250594403247821
the lambda is 0.5433660668958454
the regulation term lambda/alpha is 1.6715898678498398
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30803766252373
the lambda is 0.4867042752829912
the regulation term lambda/alpha is 1.5800154802353021
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3189098873007036
the lambda is 0.5217134090576167
the regulation term lambda/alpha is 1.6359273570144517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2801283643839507
the lambda is 0.45051228548674005
the regulation term lambda/alpha is 1.6082351620389894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3147857772120245
the lambda is 0.5277655741812607
the regulation term lambda/alpha is 1.676586467328806
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2782659635120486
the lambda is 0.4828903836574795
the regulation term lambda/alpha is 1.7353555482058478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3841452789278101
the lambda is 0.5335511835155712
the regulation term lambda/alpha is 1.3889307321562527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4163621207563719
the lambda is 0.5814543494538834
the regulation term lambda/alpha is 1.396511162921357
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4244996186196389
the lambda is 0.5920249026995366
the regulation term lambda/alpha is 1.3946417775936897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3422902946122772
the lambda is 0.5052323311713313
the regulation term lambda/alpha is 1.4760346382114735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29011230114910447
the lambda is 0.4787139585787686
the regulation term lambda/alpha is 1.650098795130826
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3227230891676625
the lambda is 0.5014806433660909
the regulation term lambda/alpha is 1.5539038271462489
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336221887387377
the lambda is 0.506161494789449
the regulation term lambda/alpha is 1.5054388598035457
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31446534412995325
the lambda is 0.5144133964611529
the regulation term lambda/alpha is 1.6358349371833192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30895076783141534
the lambda is 0.507250368921219
the regulation term lambda/alpha is 1.6418485459081607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.345841015981406
the lambda is 0.49300459129912605
the regulation term lambda/alpha is 1.4255237768721807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2536150666266669
the lambda is 0.4750265223120926
the regulation term lambda/alpha is 1.8730216963464303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2761073928467561
the lambda is 0.500119793189954
the regulation term lambda/alpha is 1.8113234420620106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012269855541227
the lambda is 0.5155341267220369
the regulation term lambda/alpha is 1.711447351815725
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3681919967496396
the lambda is 0.46160784259742055
the regulation term lambda/alpha is 1.2537150363735394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3597056767811259
the lambda is 0.5442670945374642
the regulation term lambda/alpha is 1.5130900891192787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38557338958209925
the lambda is 0.5433292227912203
the regulation term lambda/alpha is 1.4091460600538421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3267671565642528
the lambda is 0.46812476961866334
the regulation term lambda/alpha is 1.4325943113154187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34953444026612207
the lambda is 0.5713877216069035
the regulation term lambda/alpha is 1.634710791794568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36179126225167546
the lambda is 0.47151827875970675
the regulation term lambda/alpha is 1.303288188402132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2843148006836699
the lambda is 0.4696511603088196
the regulation term lambda/alpha is 1.65187024797684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30761706457051574
the lambda is 0.5324844778100079
the regulation term lambda/alpha is 1.7309978513495152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3740555829563573
the lambda is 0.5720577572409402
the regulation term lambda/alpha is 1.5293389092596024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3081245434757017
the lambda is 0.5377179302728842
the regulation term lambda/alpha is 1.7451317710927106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31869568593994546
the lambda is 0.531589396131423
the regulation term lambda/alpha is 1.6680156637940649
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.299437651149555
the lambda is 0.5314974163357272
the regulation term lambda/alpha is 1.7749852575161609
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28558416714592644
the lambda is 0.4896903812843881
the regulation term lambda/alpha is 1.7146972333174493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41010400461496044
the lambda is 0.6052768978425851
the regulation term lambda/alpha is 1.475910722722323
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.289272506865584
the lambda is 0.4441596035572124
the regulation term lambda/alpha is 1.5354366316035686
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.311851539780907
the lambda is 0.49118713488048726
the regulation term lambda/alpha is 1.5750672105886456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319529780514191
the lambda is 0.4787317216682676
the regulation term lambda/alpha is 1.498238195193847
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3423137322218356
the lambda is 0.4972492027989831
the regulation term lambda/alpha is 1.4526124896349235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34511632444929097
the lambda is 0.5240413796712315
the regulation term lambda/alpha is 1.5184485419733618
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2691511645901267
the lambda is 0.44176689551886666
the regulation term lambda/alpha is 1.6413337694139483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3257398786188844
the lambda is 0.5608339740005428
the regulation term lambda/alpha is 1.7217234081944213
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2623719001569705
the lambda is 0.5002817858993552
the regulation term lambda/alpha is 1.9067658754616987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2562105053855805
the lambda is 0.5140501549500591
the regulation term lambda/alpha is 2.006358615843821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31492355454009313
the lambda is 0.5315571357996813
the regulation term lambda/alpha is 1.6878925953187425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26352306121828767
the lambda is 0.4643817572561049
the regulation term lambda/alpha is 1.7622053838826546
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27424422436116236
the lambda is 0.46205804111621257
the regulation term lambda/alpha is 1.684841466370177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30846710470673794
the lambda is 0.5012424421166978
the regulation term lambda/alpha is 1.6249461756813026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419179365193149
the lambda is 0.572239479363339
the regulation term lambda/alpha is 1.6736164390457862
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3296504456156958
the lambda is 0.5038194172364789
the regulation term lambda/alpha is 1.5283444143249487
390
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3139692505964766
the lambda is 0.4320929062392082
the regulation term lambda/alpha is 1.3762268292780935
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31549351419616445
the lambda is 0.49708443768759986
the regulation term lambda/alpha is 1.575577358393896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3176479670444322
the lambda is 0.53343470212064
the regulation term lambda/alpha is 1.6793266680848105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28898671635346557
the lambda is 0.4861517265759439
the regulation term lambda/alpha is 1.6822632289482877
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33219739059365966
the lambda is 0.4462502563157982
the regulation term lambda/alpha is 1.3433286020649295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37499328891844286
the lambda is 0.5542725781911892
the regulation term lambda/alpha is 1.4780866606701801
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3548963787511339
the lambda is 0.5103140474850653
the regulation term lambda/alpha is 1.4379240759819525
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3390581653355947
the lambda is 0.5006727090027706
the regulation term lambda/alpha is 1.4766572824082036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3186280215809437
the lambda is 0.5223372758416255
the regulation term lambda/alpha is 1.6393325146041238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34149571898953757
the lambda is 0.4387968007623492
the regulation term lambda/alpha is 1.2849262124301848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28276300461422105
the lambda is 0.5540280558016928
the regulation term lambda/alpha is 1.9593371366157457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004660974513153
the lambda is 0.4774407524900841
the regulation term lambda/alpha is 1.5890004114938263
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4021292543478781
the lambda is 0.4661441118926843
the regulation term lambda/alpha is 1.1591897551662023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.276144538019044
the lambda is 0.4896799976415221
the regulation term lambda/alpha is 1.7732742467198532
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2839444667015022
the lambda is 0.5078730600508453
the regulation term lambda/alpha is 1.7886351720484448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38673378175650125
the lambda is 0.5823662780795444
the regulation term lambda/alpha is 1.5058583075791891
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3641595505551944
the lambda is 0.502191275363766
the regulation term lambda/alpha is 1.3790418913856017
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3455911472560368
the lambda is 0.5454693221925795
the regulation term lambda/alpha is 1.578366015806706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.255549045804669
the lambda is 0.4523388857122825
the regulation term lambda/alpha is 1.7700668155029287
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2927139605937118
the lambda is 0.4024365677346976
the regulation term lambda/alpha is 1.374845828734767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37137223035877714
the lambda is 0.5149566310289921
the regulation term lambda/alpha is 1.3866320336647149
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32225424793909113
the lambda is 0.5498556364348537
the regulation term lambda/alpha is 1.7062789395371483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32546713651251796
the lambda is 0.5380140008969843
the regulation term lambda/alpha is 1.653051692597822
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3014456821787354
the lambda is 0.4988490080299763
the regulation term lambda/alpha is 1.6548553770101608
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31113632796566515
the lambda is 0.5035347604441576
the regulation term lambda/alpha is 1.6183734112196766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3200222468751913
the lambda is 0.479752156813743
the regulation term lambda/alpha is 1.4991212689061781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37284957014448955
the lambda is 0.514761267327825
the regulation term lambda/alpha is 1.3806138146500766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31696419067127213
the lambda is 0.5726436253739097
the regulation term lambda/alpha is 1.8066508527703249
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3353861462404634
the lambda is 0.5473778714247108
the regulation term lambda/alpha is 1.6320825340002407
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3226193988623172
the lambda is 0.47229605750914017
the regulation term lambda/alpha is 1.463941905460867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24774837969767063
the lambda is 0.5068880684620451
the regulation term lambda/alpha is 2.045979348404235
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.274605419455335
the lambda is 0.42323201264814153
the regulation term lambda/alpha is 1.5412369263782169
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3242122594040437
the lambda is 0.4958660459940438
the regulation term lambda/alpha is 1.5294487842795597
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3535984762159127
the lambda is 0.4561011731231766
the regulation term lambda/alpha is 1.2898844418228606
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3625399300296062
the lambda is 0.4909941228464297
the regulation term lambda/alpha is 1.3543173652798286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211078521879883
the lambda is 0.48700444538753224
the regulation term lambda/alpha is 1.5166382325101846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3340585248059801
the lambda is 0.5251072823189933
the regulation term lambda/alpha is 1.571902057054145
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27246992665365727
the lambda is 0.4348953181688256
the regulation term lambda/alpha is 1.596122271217223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33808993819176775
the lambda is 0.46377697735147466
the regulation term lambda/alpha is 1.3717562250800142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481918734829142
the lambda is 0.5340682873213335
the regulation term lambda/alpha is 1.5338332913376862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31340852114533424
the lambda is 0.533361326407271
the regulation term lambda/alpha is 1.70180863129736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3332768674972954
the lambda is 0.5382559103541057
the regulation term lambda/alpha is 1.615041315036585
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4787674737677674
the lambda is 0.49600066162296047
the regulation term lambda/alpha is 1.0359949010729002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37040256794773857
the lambda is 0.5342630283688463
the regulation term lambda/alpha is 1.4423847850974603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31040018864463137
the lambda is 0.5408201333289523
the regulation term lambda/alpha is 1.7423318448692129
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2893909290310008
the lambda is 0.4870775104131161
the regulation term lambda/alpha is 1.6831125704045073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36656141134408693
the lambda is 0.5921330822352019
the regulation term lambda/alpha is 1.6153721147678948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37687778862269367
the lambda is 0.5924522344403766
the regulation term lambda/alpha is 1.5720009306080454
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3571989028114377
the lambda is 0.5669903398091253
the regulation term lambda/alpha is 1.587323856110596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28719677042786795
the lambda is 0.4898508247084339
the regulation term lambda/alpha is 1.7056279009636854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33004274801408734
the lambda is 0.46284420037391083
the regulation term lambda/alpha is 1.402376519886918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4130921685763696
the lambda is 0.5840453544701314
the regulation term lambda/alpha is 1.413837876624275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3235169890380363
the lambda is 0.5032858943377645
the regulation term lambda/alpha is 1.5556706800290867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29854944783666115
the lambda is 0.474594242674544
the regulation term lambda/alpha is 1.5896671258765762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.297768136682531
the lambda is 0.5179279486780655
the regulation term lambda/alpha is 1.739366590557204
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26614071496555003
the lambda is 0.45868715654436176
the regulation term lambda/alpha is 1.7234760814546375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29836786742655913
the lambda is 0.4530327791920119
the regulation term lambda/alpha is 1.5183698670351033
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.4232686044597554
the lambda is 0.5483093069971519
the regulation term lambda/alpha is 1.2954169083648286
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3171238996774127
the lambda is 0.5079304949938889
the regulation term lambda/alpha is 1.6016783834664303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27932806039187524
the lambda is 0.49610826134398117
the regulation term lambda/alpha is 1.7760774218242894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2869494003443139
the lambda is 0.4935875712199896
the regulation term lambda/alpha is 1.720120587907583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32726509083274496
the lambda is 0.5320435854359549
the regulation term lambda/alpha is 1.6257266672780135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31776989472723055
the lambda is 0.48713095496103626
the regulation term lambda/alpha is 1.53296760657325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3463095895911402
the lambda is 0.5632399470449223
the regulation term lambda/alpha is 1.6264058633487286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2943225738685625
the lambda is 0.44872354081711396
the regulation term lambda/alpha is 1.5245977735214538
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30574702982247415
the lambda is 0.49152953265355265
the regulation term lambda/alpha is 1.6076346937497623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3294946002568325
the lambda is 0.4959491322866027
the regulation term lambda/alpha is 1.5051813653395933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3534599048562606
the lambda is 0.562912705123677
the regulation term lambda/alpha is 1.5925786698567501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073538689180977
the lambda is 0.43848326647137237
the regulation term lambda/alpha is 1.426639814279408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3234181132156983
the lambda is 0.45452065541811615
the regulation term lambda/alpha is 1.4053654908158506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3232848437188201
the lambda is 0.5685854552864399
the regulation term lambda/alpha is 1.7587754772103459
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2979971596734577
the lambda is 0.5634159509820287
the regulation term lambda/alpha is 1.8906755742216277
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3297527812586707
the lambda is 0.5047519544533638
the regulation term lambda/alpha is 1.5306980960910141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3602267773567434
the lambda is 0.4719245451947985
the regulation term lambda/alpha is 1.310076248794346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31179579685487324
the lambda is 0.45438417429261707
the regulation term lambda/alpha is 1.4573133405775582
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879767686704529
the lambda is 0.4985999220055732
the regulation term lambda/alpha is 1.7313893905662492
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38284870001268645
the lambda is 0.4874540834766629
the regulation term lambda/alpha is 1.2732290418134113
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28207735500559256
the lambda is 0.43480143782898284
the regulation term lambda/alpha is 1.5414262439477366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33519641891444446
the lambda is 0.4783619014885859
the regulation term lambda/alpha is 1.4271092246086408
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.353833409111206
the lambda is 0.46023807461109273
the regulation term lambda/alpha is 1.3007196685218747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3658090439607721
the lambda is 0.621049875918853
the regulation term lambda/alpha is 1.6977433613846133
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2643246062127509
the lambda is 0.47858652087494646
the regulation term lambda/alpha is 1.8106014711688982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3281268847957537
the lambda is 0.5162349640561793
the regulation term lambda/alpha is 1.5732784723736235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3148128045315238
the lambda is 0.5604933804501994
the regulation term lambda/alpha is 1.7804021068465603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4143349876721929
the lambda is 0.5297618658595622
the regulation term lambda/alpha is 1.2785834689844995
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.223127146257373
the lambda is 0.45783503837474726
the regulation term lambda/alpha is 2.0519020032042317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.295572174216296
the lambda is 0.47433043327757557
the regulation term lambda/alpha is 1.6047871709684909
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3134595339781971
the lambda is 0.5136547190001092
the regulation term lambda/alpha is 1.638663570002745
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30748470001944384
the lambda is 0.5447362048764847
the regulation term lambda/alpha is 1.771588000450228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33353590670463656
the lambda is 0.5215875956514331
the regulation term lambda/alpha is 1.563812426688219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3255808258917633
the lambda is 0.5035495625444542
the regulation term lambda/alpha is 1.5466192186386771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3361493896036769
the lambda is 0.5124942294364583
the regulation term lambda/alpha is 1.5246025882739025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3230016429461658
the lambda is 0.48759055455245065
the regulation term lambda/alpha is 1.5095606019369896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2847388872386011
the lambda is 0.5318433540941447
the regulation term lambda/alpha is 1.8678283084265863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34385347893104024
the lambda is 0.5523205771013222
the regulation term lambda/alpha is 1.606267235737609
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3385565383754833
the lambda is 0.43198632407699294
the regulation term lambda/alpha is 1.2759650903504023
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2939555627699489
the lambda is 0.4794645269671912
the regulation term lambda/alpha is 1.631078257030375
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3176148248849334
the lambda is 0.4703891407825874
the regulation term lambda/alpha is 1.4810049907242258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3357622211888957
the lambda is 0.5020223970404611
the regulation term lambda/alpha is 1.495172373064656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32958469123638423
the lambda is 0.5142018201435617
the regulation term lambda/alpha is 1.5601508013452199
400
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28460647530541994
the lambda is 0.4371262879142577
the regulation term lambda/alpha is 1.5358971978594798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40381416231371725
the lambda is 0.5191161182049565
the regulation term lambda/alpha is 1.2855322241067486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25884394055753374
the lambda is 0.4762986635553726
the regulation term lambda/alpha is 1.8400997239087573
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28712015341989783
the lambda is 0.46716241172654593
the regulation term lambda/alpha is 1.6270624202521442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319137515152609
the lambda is 0.49358850439156077
the regulation term lambda/alpha is 1.5466326613326256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3830364321985043
the lambda is 0.5920260824745359
the regulation term lambda/alpha is 1.5456129827559721
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295011605918012
the lambda is 0.5224693166478757
the regulation term lambda/alpha is 1.5856372575729132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3395217599137274
the lambda is 0.4353886834620372
the regulation term lambda/alpha is 1.2823587023484728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2879934757697741
the lambda is 0.4603055993039971
the regulation term lambda/alpha is 1.5983195385716713
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37666692321780704
the lambda is 0.4723362430475412
the regulation term lambda/alpha is 1.253989171686343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3497210179236449
the lambda is 0.5215868979909734
the regulation term lambda/alpha is 1.4914370920218818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38656755295787204
the lambda is 0.5083092433783765
the regulation term lambda/alpha is 1.31492992489665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2868761769059832
the lambda is 0.4665731733882522
the regulation term lambda/alpha is 1.6263921892028015
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3480902871144531
the lambda is 0.47072736481340427
the regulation term lambda/alpha is 1.3523139893260732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34308245520424235
the lambda is 0.5436183981313583
the regulation term lambda/alpha is 1.5845123814557458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3267038165387136
the lambda is 0.5158346638450577
the regulation term lambda/alpha is 1.5789061459706963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32748855103829627
the lambda is 0.4237482425110338
the regulation term lambda/alpha is 1.2939329975583818
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30238158936118015
the lambda is 0.45987735974706856
the regulation term lambda/alpha is 1.520851056833911
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30693831343251554
the lambda is 0.5295106049305581
the regulation term lambda/alpha is 1.725136881769496
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3093320082461826
the lambda is 0.5133689650602616
the regulation term lambda/alpha is 1.6596050566215435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.270534503649136
the lambda is 0.44911416542297034
the regulation term lambda/alpha is 1.6600993934786206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014934219556726
the lambda is 0.4621405612702113
the regulation term lambda/alpha is 1.5328379580306666
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3203690675754072
the lambda is 0.5162043517383031
the regulation term lambda/alpha is 1.611280251383199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26597374157056236
the lambda is 0.4960339378243052
the regulation term lambda/alpha is 1.8649733424632382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3571392583072444
the lambda is 0.5407905474186447
the regulation term lambda/alpha is 1.5142287912616048
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3318284223026583
the lambda is 0.47861250278655654
the regulation term lambda/alpha is 1.4423493306128476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41031358526162787
the lambda is 0.5538092590509328
the regulation term lambda/alpha is 1.3497219661830304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28699558344531384
the lambda is 0.5710445212238687
the regulation term lambda/alpha is 1.9897327839286405
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3533111109791242
the lambda is 0.5552058526119701
the regulation term lambda/alpha is 1.5714361517625044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36470699054359873
the lambda is 0.4833181836721536
the regulation term lambda/alpha is 1.325223251004221
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33536058521566686
the lambda is 0.5500958011826358
the regulation term lambda/alpha is 1.6403114302441801
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30500031401002103
the lambda is 0.4435164825884014
the regulation term lambda/alpha is 1.4541509048211316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32926962154769385
the lambda is 0.48771651788422543
the regulation term lambda/alpha is 1.4812071505162554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3689012395956509
the lambda is 0.5347245532056251
the regulation term lambda/alpha is 1.4495059810363649
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.316215240851986
the lambda is 0.4791662339947641
the regulation term lambda/alpha is 1.5153166960066047
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2888723180047893
the lambda is 0.49816724925105216
the regulation term lambda/alpha is 1.7245240135567192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3029997866045517
the lambda is 0.45936316150692563
the regulation term lambda/alpha is 1.5160511056941617
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3232937100643769
the lambda is 0.5182115512664482
the regulation term lambda/alpha is 1.6029125687699204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34601422632048945
the lambda is 0.5370774905914207
the regulation term lambda/alpha is 1.5521832622395195
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35934816206235576
the lambda is 0.4989519791708523
the regulation term lambda/alpha is 1.388491807798009
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2859719806079043
the lambda is 0.5460876370065322
the regulation term lambda/alpha is 1.9095844139893972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34495705764660073
the lambda is 0.5406528419609079
the regulation term lambda/alpha is 1.5673047701919822
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30235396758626787
the lambda is 0.4599700758842864
the regulation term lambda/alpha is 1.5212966429919508
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3121362055365946
the lambda is 0.48560841962585816
the regulation term lambda/alpha is 1.5557580665499755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33759979715747
the lambda is 0.460422752932332
the regulation term lambda/alpha is 1.3638122913846789
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32814312069421453
the lambda is 0.526683785561856
the regulation term lambda/alpha is 1.6050428984999348
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3236022431575096
the lambda is 0.5362633191900881
the regulation term lambda/alpha is 1.6571681146507635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3417052510477445
the lambda is 0.5534208641933385
the regulation term lambda/alpha is 1.6195854833849543
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34428070612280864
the lambda is 0.4895746082714376
the regulation term lambda/alpha is 1.422021622369977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3452421594496845
the lambda is 0.5509515898215926
the regulation term lambda/alpha is 1.5958409908564142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29548865247552736
the lambda is 0.48438334636507074
the regulation term lambda/alpha is 1.6392620911396516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30077826179868156
the lambda is 0.5377388419115192
the regulation term lambda/alpha is 1.7878248205032894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33499267424153106
the lambda is 0.5244720160736932
the regulation term lambda/alpha is 1.5656223446114728
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26806189472106756
the lambda is 0.46341289406383673
the regulation term lambda/alpha is 1.7287533334271254
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31419833864482477
the lambda is 0.5047858873412115
the regulation term lambda/alpha is 1.606583566031615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32094998370662997
the lambda is 0.5592678157287296
the regulation term lambda/alpha is 1.7425388506638415
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30892051661099657
the lambda is 0.4875628787026397
the regulation term lambda/alpha is 1.5782793711839989
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301064936159767
the lambda is 0.5184953748759354
the regulation term lambda/alpha is 1.5706912311731664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308066661839951
the lambda is 0.5706132260801725
the regulation term lambda/alpha is 1.8522394558117474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3048154038350108
the lambda is 0.4558797955999709
the regulation term lambda/alpha is 1.4955930371771091
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002075426131029
the lambda is 0.555870887051153
the regulation term lambda/alpha is 1.8516219886171885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3306820949552961
the lambda is 0.5144388674951788
the regulation term lambda/alpha is 1.5556901185252385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31411505330622175
the lambda is 0.5181537787155751
the regulation term lambda/alpha is 1.6495668490310837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36078630423010044
the lambda is 0.4697672748447716
the regulation term lambda/alpha is 1.3020651541838069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32341144873526273
the lambda is 0.45364581403904775
the regulation term lambda/alpha is 1.4026894094599351
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30804348084894717
the lambda is 0.5261865704232536
the regulation term lambda/alpha is 1.7081568127107207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3662579178297661
the lambda is 0.5835139606074595
the regulation term lambda/alpha is 1.5931777367845803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29954767448778724
the lambda is 0.47963122996777463
the regulation term lambda/alpha is 1.601184955910347
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27367757458468744
the lambda is 0.5085596205795575
the regulation term lambda/alpha is 1.858243669951071
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2712614433912893
the lambda is 0.48383540737957753
the regulation term lambda/alpha is 1.7836497562303921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087615627252828
the lambda is 0.555135375792347
the regulation term lambda/alpha is 1.7979419811599817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3280004905728112
the lambda is 0.5417014188221074
the regulation term lambda/alpha is 1.6515262458177873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31964932970212856
the lambda is 0.5132107602956846
the regulation term lambda/alpha is 1.6055430517371334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31158519713104715
the lambda is 0.4949122024642932
the regulation term lambda/alpha is 1.5883687897282937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30023765491223536
the lambda is 0.48432551812318947
the regulation term lambda/alpha is 1.6131404912044298
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3220072751366483
the lambda is 0.5627270818562818
the regulation term lambda/alpha is 1.7475601494328994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3805284751446069
the lambda is 0.5427270793471489
the regulation term lambda/alpha is 1.4262456420400706
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3523484818543669
the lambda is 0.47472425322845696
the regulation term lambda/alpha is 1.3473145981218406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2994333354836267
the lambda is 0.450625298957718
the regulation term lambda/alpha is 1.5049269588835028
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29696556361813126
the lambda is 0.48694692906093795
the regulation term lambda/alpha is 1.6397420735526904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30241168535407953
the lambda is 0.49802139981628146
the regulation term lambda/alpha is 1.646832526438824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282419343632497
the lambda is 0.569090661562777
the regulation term lambda/alpha is 1.7337536797872737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30126099402629075
the lambda is 0.531948330450552
the regulation term lambda/alpha is 1.7657391464496377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2860876627224785
the lambda is 0.5641888796981394
the regulation term lambda/alpha is 1.9720839211631265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3007718678991971
the lambda is 0.482591809865807
the regulation term lambda/alpha is 1.604511130766879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3152573646093016
the lambda is 0.46037363298450923
the regulation term lambda/alpha is 1.4603104785674086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090674782849017
the lambda is 0.47225963105495145
the regulation term lambda/alpha is 1.528014638342561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27843835596482985
the lambda is 0.5044883957819964
the regulation term lambda/alpha is 1.8118494990888376
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909838021466596
the lambda is 0.5201095187679691
the regulation term lambda/alpha is 1.7874174264374592
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3082216599073281
the lambda is 0.4693553829012963
the regulation term lambda/alpha is 1.5227852028388131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32189232289085296
the lambda is 0.4982001824346584
the regulation term lambda/alpha is 1.5477230956004744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31091939279102293
the lambda is 0.5791029482673237
the regulation term lambda/alpha is 1.862550106858577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28256565290441893
the lambda is 0.5207112975938945
the regulation term lambda/alpha is 1.8427975666597773
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3071283438058374
the lambda is 0.49160138532553255
the regulation term lambda/alpha is 1.6006382844180498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29728013712629625
the lambda is 0.4848825046770226
the regulation term lambda/alpha is 1.631062570692456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491825413880913
the lambda is 0.5675298151147898
the regulation term lambda/alpha is 1.6253098246513455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37233140968999967
the lambda is 0.5238278545190501
the regulation term lambda/alpha is 1.40688601844036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.325029084188546
the lambda is 0.5105635762111193
the regulation term lambda/alpha is 1.5708242771128342
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2716318156079106
the lambda is 0.5204515540426479
the regulation term lambda/alpha is 1.9160183901060337
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26863954564631826
the lambda is 0.5030777080271219
the regulation term lambda/alpha is 1.8726867141498855
410
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2954073579350481
the lambda is 0.45326733137849234
the regulation term lambda/alpha is 1.5343806415213033
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2632234138754702
the lambda is 0.5446279061563671
the regulation term lambda/alpha is 2.0690709011700155
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38657765025438084
the lambda is 0.5331679406270519
the regulation term lambda/alpha is 1.3792001174310253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3642383536801142
the lambda is 0.5091302263308087
the regulation term lambda/alpha is 1.3977941125275983
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37648798817874146
the lambda is 0.5292440060721701
the regulation term lambda/alpha is 1.4057394198215594
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3293616061339118
the lambda is 0.48032388917569646
the regulation term lambda/alpha is 1.45834815057468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169923578522924
the lambda is 0.5599748031750711
the regulation term lambda/alpha is 1.766524615826859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3025312125436746
the lambda is 0.43787851809896433
the regulation term lambda/alpha is 1.4473829474231539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2698176561265023
the lambda is 0.40336386426021004
the regulation term lambda/alpha is 1.4949498489123907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073059830986944
the lambda is 0.522063850470014
the regulation term lambda/alpha is 1.698840501593319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3064423985103672
the lambda is 0.47249641304612056
the regulation term lambda/alpha is 1.5418767616457474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.326561940320128
the lambda is 0.5079541487206286
the regulation term lambda/alpha is 1.555460346122032
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30634398627288745
the lambda is 0.5122628393855603
the regulation term lambda/alpha is 1.672181803266224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3310250374634134
the lambda is 0.5114720256904159
the regulation term lambda/alpha is 1.5451158305418107
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31154324190946675
the lambda is 0.5262702944436569
the regulation term lambda/alpha is 1.689236753197134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33549003104448666
the lambda is 0.47717422983617575
the regulation term lambda/alpha is 1.4223201457002503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159544467610077
the lambda is 0.4807320693600983
the regulation term lambda/alpha is 1.5215233534083814
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3052844213558278
the lambda is 0.4575483118016577
the regulation term lambda/alpha is 1.4987607614224017
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32788779257228445
the lambda is 0.49079923235502054
the regulation term lambda/alpha is 1.4968511895630316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24942400736687678
the lambda is 0.4670029820270552
the regulation term lambda/alpha is 1.8723257113744562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28002596813496256
the lambda is 0.5196748496969269
the regulation term lambda/alpha is 1.8558094920913266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33888689395688065
the lambda is 0.49892505321185077
the regulation term lambda/alpha is 1.4722465285875974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2912281622766756
the lambda is 0.5223566852093363
the regulation term lambda/alpha is 1.7936338337810944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3405525954156776
the lambda is 0.48749747352979866
the regulation term lambda/alpha is 1.4314895264115093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28361172624333403
the lambda is 0.4962052323517769
the regulation term lambda/alpha is 1.7495934985637416
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2599982521520081
the lambda is 0.5437015908063543
the regulation term lambda/alpha is 2.0911740225410393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2692715896928411
the lambda is 0.4833246385601262
the regulation term lambda/alpha is 1.7949336545732733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32085468552403384
the lambda is 0.47355232959387283
the regulation term lambda/alpha is 1.4759090359564067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29503772460308175
the lambda is 0.5434971356614834
the regulation term lambda/alpha is 1.8421276004370541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38906833904989757
the lambda is 0.5256017852052601
the regulation term lambda/alpha is 1.3509240728473983
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2816791509763189
the lambda is 0.43601822257269385
the regulation term lambda/alpha is 1.5479250809349052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33328305137050884
the lambda is 0.5389766268831467
the regulation term lambda/alpha is 1.6171738246718388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.43286191391467305
the lambda is 0.6099366669999825
the regulation term lambda/alpha is 1.4090790790159813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28851281029669174
the lambda is 0.4099523101736694
the regulation term lambda/alpha is 1.4209154517336529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31400631218222985
the lambda is 0.4508794574317281
the regulation term lambda/alpha is 1.4358929739287072
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32116160487179324
the lambda is 0.477387887028036
the regulation term lambda/alpha is 1.4864413422600993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2793447915575301
the lambda is 0.4730131104761679
the regulation term lambda/alpha is 1.6932948985331358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27899411713279987
the lambda is 0.5244642406927353
the regulation term lambda/alpha is 1.8798397832994194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3008001680988874
the lambda is 0.5481572361804455
the regulation term lambda/alpha is 1.822330218912112
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3212012970379741
the lambda is 0.5361813577697223
the regulation term lambda/alpha is 1.6693001015694282
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33603028852959144
the lambda is 0.4669224005190227
the regulation term lambda/alpha is 1.3895247436241291
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3801251122643333
the lambda is 0.49669008504299766
the regulation term lambda/alpha is 1.3066489664003225
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3071921111598487
the lambda is 0.45412693010599103
the regulation term lambda/alpha is 1.4783157301513001
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29045137697807105
the lambda is 0.5115576792165186
the regulation term lambda/alpha is 1.7612506593664419
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30982666092834577
the lambda is 0.45844364488387157
the regulation term lambda/alpha is 1.479677841507309
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351633886008105
the lambda is 0.5413498817895948
the regulation term lambda/alpha is 1.6151820282326792
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35041494400321593
the lambda is 0.4932989392855293
the regulation term lambda/alpha is 1.407756568969279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37347130853009475
the lambda is 0.5300322969705419
the regulation term lambda/alpha is 1.419204862233296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30286483228050254
the lambda is 0.5789034267054131
the regulation term lambda/alpha is 1.9114250484164945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33568070741595846
the lambda is 0.5921693694016246
the regulation term lambda/alpha is 1.7640852045388429
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33266363320748615
the lambda is 0.5118258480179013
the regulation term lambda/alpha is 1.5385686829755436
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2940847923361865
the lambda is 0.4907953087351021
the regulation term lambda/alpha is 1.6688904748738032
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26533148916362786
the lambda is 0.45759310639660117
the regulation term lambda/alpha is 1.7246091213636805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3071998205901197
the lambda is 0.46449072765187716
the regulation term lambda/alpha is 1.512014970450202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2658242628446713
the lambda is 0.519272048664589
the regulation term lambda/alpha is 1.9534411310227706
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29930003496244884
the lambda is 0.4758322579056507
the regulation term lambda/alpha is 1.589816913871561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36811239615418584
the lambda is 0.5651465720198605
the regulation term lambda/alpha is 1.53525547611047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34194824161041565
the lambda is 0.49835713115718266
the regulation term lambda/alpha is 1.4574051581904752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2880149450045965
the lambda is 0.45637512287974974
the regulation term lambda/alpha is 1.5845536170786774
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38701543802208715
the lambda is 0.4800295853447766
the regulation term lambda/alpha is 1.240337046496272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27529671190909677
the lambda is 0.45097933167701393
the regulation term lambda/alpha is 1.6381573486643304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3531801710044061
the lambda is 0.5504734049452685
the regulation term lambda/alpha is 1.5586192264978578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3020032326001489
the lambda is 0.4885199978114651
the regulation term lambda/alpha is 1.6175985720598682
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34712089479181835
the lambda is 0.5337232045809006
the regulation term lambda/alpha is 1.5375715279283166
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27546347642787783
the lambda is 0.43741069434593294
the regulation term lambda/alpha is 1.587908132207343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2882394201856503
the lambda is 0.4953673624906433
the regulation term lambda/alpha is 1.7185968601088126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3903659178708614
the lambda is 0.5362408974710002
the regulation term lambda/alpha is 1.3736877963008962
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2707149270310161
the lambda is 0.49815743191409684
the regulation term lambda/alpha is 1.8401550198117538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330487735686745
the lambda is 0.5466859437034053
the regulation term lambda/alpha is 1.641459110764985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2726330624419046
the lambda is 0.46692679719168334
the regulation term lambda/alpha is 1.712656539194254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3549552115629214
the lambda is 0.5032882088895531
the regulation term lambda/alpha is 1.417892152290141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3329721227421065
the lambda is 0.4709138183620033
the regulation term lambda/alpha is 1.4142740073370508
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30350690872427777
the lambda is 0.5231796733647088
the regulation term lambda/alpha is 1.723781760236614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33153228929507134
the lambda is 0.49257744900093275
the regulation term lambda/alpha is 1.4857601051417575
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32758064763623523
the lambda is 0.4821468090583362
the regulation term lambda/alpha is 1.4718415527212105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3158352132107779
the lambda is 0.5122943276653148
the regulation term lambda/alpha is 1.622030433077222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3929751949452522
the lambda is 0.6372558100884542
the regulation term lambda/alpha is 1.6216184081980907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36316738734219467
the lambda is 0.4890482168951155
the regulation term lambda/alpha is 1.346619310930333
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2577324063593168
the lambda is 0.4854886226483264
the regulation term lambda/alpha is 1.8836925845152896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38586904053698473
the lambda is 0.5450593122855055
the regulation term lambda/alpha is 1.4125499976027818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3495744651893473
the lambda is 0.5778021103791698
the regulation term lambda/alpha is 1.6528727579292808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3342510937650821
the lambda is 0.4835329910837635
the regulation term lambda/alpha is 1.4466160323879134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31055181910549884
the lambda is 0.5013795559405764
the regulation term lambda/alpha is 1.6144795331894375
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2844873673351248
the lambda is 0.41009336996359486
the regulation term lambda/alpha is 1.4415169777310595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4757161117251143
the lambda is 0.6179593098671488
the regulation term lambda/alpha is 1.2990085780912706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34052746659183153
the lambda is 0.4565412553891163
the regulation term lambda/alpha is 1.3406884911763757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3718540228302262
the lambda is 0.5721922537214408
the regulation term lambda/alpha is 1.5387550452363428
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34240777402201006
the lambda is 0.43782477432670874
the regulation term lambda/alpha is 1.2786648188033407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32993539743684797
the lambda is 0.5177311095266098
the regulation term lambda/alpha is 1.5691893429704138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38153233085251653
the lambda is 0.5712889934748367
the regulation term lambda/alpha is 1.4973540832000205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37614416184038985
the lambda is 0.5258535100670926
the regulation term lambda/alpha is 1.3980105592871843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3267137226856512
the lambda is 0.6013167930846542
the regulation term lambda/alpha is 1.8405005707801672
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933627402681009
the lambda is 0.5511811905531379
the regulation term lambda/alpha is 1.8788384307067068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3146315380756454
the lambda is 0.5374627518757192
the regulation term lambda/alpha is 1.7082291087630876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28111967236900787
the lambda is 0.461672764726547
the regulation term lambda/alpha is 1.642264167555441
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387918850619788
the lambda is 0.5562668763928795
the regulation term lambda/alpha is 1.641913224371108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2917219533103733
the lambda is 0.545069286874677
the regulation term lambda/alpha is 1.868454810100488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2904665551497752
the lambda is 0.5006667895445818
the regulation term lambda/alpha is 1.723664155711213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246869972751849
the lambda is 0.49668070125606967
the regulation term lambda/alpha is 1.529721563919338
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34200762541001556
the lambda is 0.4851237165327396
the regulation term lambda/alpha is 1.418458772523418
420
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3441456688984997
the lambda is 0.5253321039133958
the regulation term lambda/alpha is 1.5264818110157132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33016880570204205
the lambda is 0.5429126364818542
the regulation term lambda/alpha is 1.6443486698492071
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30507570835917436
the lambda is 0.5158154567411882
the regulation term lambda/alpha is 1.6907785267973678
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28539894371649294
the lambda is 0.48485986544537396
the regulation term lambda/alpha is 1.6988845828631367
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32722340545845174
the lambda is 0.4966444303178864
the regulation term lambda/alpha is 1.517753382042063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3338826490926168
the lambda is 0.43993410297883645
the regulation term lambda/alpha is 1.3176309226443261
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3543886282408392
the lambda is 0.5012554489788553
the regulation term lambda/alpha is 1.4144230628027001
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28337771885235474
the lambda is 0.45743038882917275
the regulation term lambda/alpha is 1.6142073225859468
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2953417376611737
the lambda is 0.45352859477976076
the regulation term lambda/alpha is 1.5356061705713415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206162622614978
the lambda is 0.46146733672945167
the regulation term lambda/alpha is 1.439313569044961
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30781743118184596
the lambda is 0.4635365030153489
the regulation term lambda/alpha is 1.5058812661636125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491217976307129
the lambda is 0.5849338321310358
the regulation term lambda/alpha is 1.6754434587030727
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3231247102847574
the lambda is 0.5092615504208324
the regulation term lambda/alpha is 1.5760526329665092
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26491978287478946
the lambda is 0.5110053086280754
the regulation term lambda/alpha is 1.9289058109699369
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989910725676083
the lambda is 0.5636227182354399
the regulation term lambda/alpha is 1.885082097586685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099628657408169
the lambda is 0.4853233217464881
the regulation term lambda/alpha is 1.5657466599637881
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427341647633722
the lambda is 0.5019839001643479
the regulation term lambda/alpha is 1.464645056645939
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057858719991404
the lambda is 0.5654752590569253
the regulation term lambda/alpha is 1.8492524045012613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33704944595186365
the lambda is 0.534430458029397
the regulation term lambda/alpha is 1.5856144089485396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37522456355606776
the lambda is 0.4970846449382841
the regulation term lambda/alpha is 1.3247657355566687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2788658155743659
the lambda is 0.5266653463921284
the regulation term lambda/alpha is 1.8885977304438775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2766282706084387
the lambda is 0.4861870325273017
the regulation term lambda/alpha is 1.7575464411426296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196272167725927
the lambda is 0.5458989082358826
the regulation term lambda/alpha is 1.7079237298627072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28072467375621013
the lambda is 0.47579877275488924
the regulation term lambda/alpha is 1.694894739349087
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3202375690256806
the lambda is 0.5098856170100625
the regulation term lambda/alpha is 1.5922104909845027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177391779569484
the lambda is 0.5863720358015009
the regulation term lambda/alpha is 1.8454508492526864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2868338877502602
the lambda is 0.6088802422777396
the regulation term lambda/alpha is 2.1227625754174415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3385927450853096
the lambda is 0.5573290909789383
the regulation term lambda/alpha is 1.646016044550858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31775803774878325
the lambda is 0.5484086136234955
the regulation term lambda/alpha is 1.725868580725132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3835139044339427
the lambda is 0.4675382448199652
the regulation term lambda/alpha is 1.2190907276492111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28888668984112004
the lambda is 0.4457336388774808
the regulation term lambda/alpha is 1.542935879540253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34097870470054836
the lambda is 0.5400671598990171
the regulation term lambda/alpha is 1.583873574665933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28600210900205425
the lambda is 0.5743552057973149
the regulation term lambda/alpha is 2.0082201764225087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33104868303662743
the lambda is 0.5224422365280087
the regulation term lambda/alpha is 1.5781432257508947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29582176703981494
the lambda is 0.5292062180019267
the regulation term lambda/alpha is 1.7889360316433385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2999723408690772
the lambda is 0.5489365843647528
the regulation term lambda/alpha is 1.8299573313138757
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3142999234160984
the lambda is 0.4820990749758179
the regulation term lambda/alpha is 1.5338822540455153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30443828822606245
the lambda is 0.5039694827369307
the regulation term lambda/alpha is 1.6554076876253658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171878180479212
the lambda is 0.497743662549584
the regulation term lambda/alpha is 1.5692395301082598
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3280719274141719
the lambda is 0.5722189661478361
the regulation term lambda/alpha is 1.7441875342947055
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.42007471829923076
the lambda is 0.5039050142179842
the regulation term lambda/alpha is 1.199560440719117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28502194605761794
the lambda is 0.46930477339495447
the regulation term lambda/alpha is 1.6465566244505372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2676255646717758
the lambda is 0.5972061598416168
the regulation term lambda/alpha is 2.231498924902966
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2979401376002194
the lambda is 0.4687445961751461
the regulation term lambda/alpha is 1.5732844857718185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211761951108768
the lambda is 0.5356920416639673
the regulation term lambda/alpha is 1.6679070548146793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296357618357241
the lambda is 0.49630623880108776
the regulation term lambda/alpha is 1.5056201306471866
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3395476883971102
the lambda is 0.5024047651698806
the regulation term lambda/alpha is 1.479629466899226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28675127503621006
the lambda is 0.5528469430242926
the regulation term lambda/alpha is 1.927966817076858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298687852795593
the lambda is 0.4874738925850141
the regulation term lambda/alpha is 1.6320512803666536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3451037949946285
the lambda is 0.5251338164048213
the regulation term lambda/alpha is 1.5216692021975444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977861798877574
the lambda is 0.4786046670251967
the regulation term lambda/alpha is 1.6072091297372968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31273122374452766
the lambda is 0.5263013102779324
the regulation term lambda/alpha is 1.6829189742431079
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32533178436385113
the lambda is 0.5559557227372228
the regulation term lambda/alpha is 1.7088884316186022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3932091562310029
the lambda is 0.4578272520476374
the regulation term lambda/alpha is 1.1643351758031613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2689763310678548
the lambda is 0.5033317257209942
the regulation term lambda/alpha is 1.871286308809151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31442765892030233
the lambda is 0.492394981023698
the regulation term lambda/alpha is 1.5660040300351086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32000891040550306
the lambda is 0.5067787699756289
the regulation term lambda/alpha is 1.5836395597030664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26873128052408146
the lambda is 0.47703850011593785
the regulation term lambda/alpha is 1.775150623275468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215568064546841
the lambda is 0.485604634711682
the regulation term lambda/alpha is 1.510167488182579
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26248351769370754
the lambda is 0.46720600816108687
the regulation term lambda/alpha is 1.7799441742710502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32105664045285437
the lambda is 0.5149268421645645
the regulation term lambda/alpha is 1.6038504652582604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2830329748465618
the lambda is 0.4819686015868805
the regulation term lambda/alpha is 1.7028708469328209
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33575681601388657
the lambda is 0.4729057571486159
the regulation term lambda/alpha is 1.4084770125085322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4223010386285211
the lambda is 0.5815638708963202
the regulation term lambda/alpha is 1.3771310456280819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2965445770783215
the lambda is 0.4913615526744067
the regulation term lambda/alpha is 1.6569567972393957
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37466505919976045
the lambda is 0.5477255626908617
the regulation term lambda/alpha is 1.4619072401913797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27885099399937435
the lambda is 0.5429042277947953
the regulation term lambda/alpha is 1.9469330914273641
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2824315195264771
the lambda is 0.41300334891493046
the regulation term lambda/alpha is 1.4623132347528678
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3058394365931613
the lambda is 0.42191735870513947
the regulation term lambda/alpha is 1.379538765193284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30287582954092274
the lambda is 0.4388269265927551
the regulation term lambda/alpha is 1.4488674360641363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29328762356759663
the lambda is 0.49817120341677146
the regulation term lambda/alpha is 1.6985756076473286
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3694655569288959
the lambda is 0.4511962410347018
the regulation term lambda/alpha is 1.2212132702847185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34094183394387106
the lambda is 0.6027235472754541
the regulation term lambda/alpha is 1.7678192796214027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3685927317415271
the lambda is 0.4866988359953473
the regulation term lambda/alpha is 1.3204243982126083
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3255936235791128
the lambda is 0.5423126958481023
the regulation term lambda/alpha is 1.6656121513888646
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33234050493956024
the lambda is 0.5081799192031987
the regulation term lambda/alpha is 1.5290941418519444
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26307343003043376
the lambda is 0.4584577425545724
the regulation term lambda/alpha is 1.7426987685587843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27325689247366747
the lambda is 0.47994075160792926
the regulation term lambda/alpha is 1.7563719885095999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875238111538836
the lambda is 0.4771192962975645
the regulation term lambda/alpha is 1.6594079439292382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28151380211869265
the lambda is 0.49965101456686556
the regulation term lambda/alpha is 1.7748721760938786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3424991031625768
the lambda is 0.5067390528791516
the regulation term lambda/alpha is 1.4795339555637133
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3237694415715223
the lambda is 0.4858310751454066
the regulation term lambda/alpha is 1.5005464159534772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2404543260435549
the lambda is 0.4871104413570199
the regulation term lambda/alpha is 2.0257919637876958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30029052924633437
the lambda is 0.55863930123426
the regulation term lambda/alpha is 1.8603294037821516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.296256092707804
the lambda is 0.590270161711081
the regulation term lambda/alpha is 1.992432143136586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.332170726013345
the lambda is 0.5355536184588362
the regulation term lambda/alpha is 1.612284215669626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2758872660547723
the lambda is 0.517008017538074
the regulation term lambda/alpha is 1.8739828950112964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27607844342148213
the lambda is 0.47967813052719127
the regulation term lambda/alpha is 1.7374704253706565
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4029704676645999
the lambda is 0.6215520871168349
the regulation term lambda/alpha is 1.5424259021238367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3318171219316258
the lambda is 0.510103020401412
the regulation term lambda/alpha is 1.537301684228711
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3585129090081111
the lambda is 0.48581367825016525
the regulation term lambda/alpha is 1.355080015373098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35394196617337176
the lambda is 0.43519560384647105
the regulation term lambda/alpha is 1.229567684644942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30898090167715636
the lambda is 0.5502611836085611
the regulation term lambda/alpha is 1.7808906007514675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3232226898042531
the lambda is 0.5225956838295849
the regulation term lambda/alpha is 1.616828583866046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32501388881606236
the lambda is 0.5072077190673623
the regulation term lambda/alpha is 1.5605724448114595
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28348017150010035
the lambda is 0.4395376541503715
the regulation term lambda/alpha is 1.5505058143024861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34851130203276165
the lambda is 0.5712684305503525
the regulation term lambda/alpha is 1.6391675885927242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3093780164135698
the lambda is 0.5229628293792262
the regulation term lambda/alpha is 1.6903684219118558
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3434488099247312
the lambda is 0.5248735927232495
the regulation term lambda/alpha is 1.528244028093382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482062433354514
the lambda is 0.4991084064878777
the regulation term lambda/alpha is 1.4333700674259642
430
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36442077283737007
the lambda is 0.5493648384161457
the regulation term lambda/alpha is 1.5075014361525174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3173693706607546
the lambda is 0.45203590008109873
the regulation term lambda/alpha is 1.4243211282171686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35131735458379565
the lambda is 0.5317362365559526
the regulation term lambda/alpha is 1.513549585917549
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35020748381100014
the lambda is 0.528181714030544
the regulation term lambda/alpha is 1.5081965361870822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31493773417647586
the lambda is 0.4879527227969342
the regulation term lambda/alpha is 1.5493625242236266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.307024063764063
the lambda is 0.5774571335435025
the regulation term lambda/alpha is 1.88082043623544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32378873268508257
the lambda is 0.49985099619139567
the regulation term lambda/alpha is 1.543756609583915
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.35171537494326066
the lambda is 0.4919743442027784
the regulation term lambda/alpha is 1.3987854363265881
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2866176289289981
the lambda is 0.5491834078351978
the regulation term lambda/alpha is 1.916083842739636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919935338780863
the lambda is 0.4989895049408855
the regulation term lambda/alpha is 1.7089060100530327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492597853840105
the lambda is 0.5906935974032744
the regulation term lambda/alpha is 1.6912728637046144
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31291886641713523
the lambda is 0.5140664750047708
the regulation term lambda/alpha is 1.6428107416172744
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36258195239229407
the lambda is 0.5228839589398191
the regulation term lambda/alpha is 1.4421124810263224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3547192218513861
the lambda is 0.5065113143428768
the regulation term lambda/alpha is 1.427921812917953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29802138060006145
the lambda is 0.5531467150415561
the regulation term lambda/alpha is 1.8560638633637752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28334955109440896
the lambda is 0.4651501284286905
the regulation term lambda/alpha is 1.6416123711228596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31109058697098424
the lambda is 0.5511771721878207
the regulation term lambda/alpha is 1.7717577942634104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2773047359979169
the lambda is 0.49255051121489885
the regulation term lambda/alpha is 1.7762066321817125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30600347643090947
the lambda is 0.4649594173428128
the regulation term lambda/alpha is 1.5194579576869383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2823078833296913
the lambda is 0.48687544828114265
the regulation term lambda/alpha is 1.7246257615574572
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3528106605564311
the lambda is 0.6106233914513431
the regulation term lambda/alpha is 1.730739628128883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3107321641116485
the lambda is 0.464330551881391
the regulation term lambda/alpha is 1.4943111962962206
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.265034619663522
the lambda is 0.42481280493891627
the regulation term lambda/alpha is 1.6028577907227466
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2685217235605831
the lambda is 0.47032596538504357
the regulation term lambda/alpha is 1.7515378612521453
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32204902343467645
the lambda is 0.47459392589489113
the regulation term lambda/alpha is 1.4736698184435155
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3554130804343438
the lambda is 0.5607919337818206
the regulation term lambda/alpha is 1.5778595798907769
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3369687036342827
the lambda is 0.49900480369667727
the regulation term lambda/alpha is 1.4808639446773515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492730092852419
the lambda is 0.6034609505612264
the regulation term lambda/alpha is 1.7277629090096567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29173257379315226
the lambda is 0.47461917652964625
the regulation term lambda/alpha is 1.6268981223405188
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27116538026551884
the lambda is 0.5407011170771914
the regulation term lambda/alpha is 1.9939902230430353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3891051117198009
the lambda is 0.5448429380506024
the regulation term lambda/alpha is 1.4002461587884512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971875645905766
the lambda is 0.4660964257572628
the regulation term lambda/alpha is 1.5683577689375567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2598148991489964
the lambda is 0.5471212892432081
the regulation term lambda/alpha is 2.1058118338681173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3106796380052413
the lambda is 0.49939368872837847
the regulation term lambda/alpha is 1.6074232992377617
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3228483776457316
the lambda is 0.48839937212837076
the regulation term lambda/alpha is 1.5127824884543846
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.279362158134453
the lambda is 0.44800313017367666
the regulation term lambda/alpha is 1.6036643372366104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3816042132749179
the lambda is 0.6152009623783617
the regulation term lambda/alpha is 1.6121440512900063
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32902684620695793
the lambda is 0.42951119230544405
the regulation term lambda/alpha is 1.3053986240237718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28339074142717463
the lambda is 0.49422475175724134
the regulation term lambda/alpha is 1.7439692957797162
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31967727310128796
the lambda is 0.5656327032854523
the regulation term lambda/alpha is 1.7693866623613084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38604748709161757
the lambda is 0.49149345019182195
the regulation term lambda/alpha is 1.273142467250874
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2878911241195622
the lambda is 0.5271359244743115
the regulation term lambda/alpha is 1.8310252741775743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30078317139391986
the lambda is 0.5293117559229117
the regulation term lambda/alpha is 1.7597784924931854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31200528739613587
the lambda is 0.4881009279962975
the regulation term lambda/alpha is 1.564399539731462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026778872007337
the lambda is 0.45050434311213566
the regulation term lambda/alpha is 1.4883952946762993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33521335675614916
the lambda is 0.5199071268092339
the regulation term lambda/alpha is 1.5509737793277736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33345220595219854
the lambda is 0.5597095984163359
the regulation term lambda/alpha is 1.6785302014063512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33520045809244975
the lambda is 0.4981358089393303
the regulation term lambda/alpha is 1.4860833179468456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909237098298723
the lambda is 0.4578934251698487
the regulation term lambda/alpha is 1.5739295550631391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29691989953040615
the lambda is 0.4952710657414994
the regulation term lambda/alpha is 1.6680292109919062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31913325403953313
the lambda is 0.45521994453160686
the regulation term lambda/alpha is 1.4264259169782907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2809473608445878
the lambda is 0.4556713852352885
the regulation term lambda/alpha is 1.621910182268461
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2646197079899038
the lambda is 0.48934109844577633
the regulation term lambda/alpha is 1.849223937865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3508657745339292
the lambda is 0.5575771596611216
the regulation term lambda/alpha is 1.58914661996251
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3342230126890407
the lambda is 0.5544965530792968
the regulation term lambda/alpha is 1.659061560776479
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3084048811122365
the lambda is 0.4684464182214763
the regulation term lambda/alpha is 1.5189332170491703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2983673754588329
the lambda is 0.4950574431058664
the regulation term lambda/alpha is 1.659221093943536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3962167004418402
the lambda is 0.5829683668829201
the regulation term lambda/alpha is 1.4713371905647192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31435945578188307
the lambda is 0.5498992708492596
the regulation term lambda/alpha is 1.7492690635996164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296218418217937
the lambda is 0.5845765376227882
the regulation term lambda/alpha is 1.7734763400139995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973480319573708
the lambda is 0.5219164424740599
the regulation term lambda/alpha is 1.755237588217447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3279675784235926
the lambda is 0.5019854891818618
the regulation term lambda/alpha is 1.5305948581707463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3694632247339894
the lambda is 0.5322434549188887
the regulation term lambda/alpha is 1.4405857451769382
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.294139296047914
the lambda is 0.5384226935135424
the regulation term lambda/alpha is 1.8305024209544438
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3519941896580093
the lambda is 0.521298481723089
the regulation term lambda/alpha is 1.4809860419274887
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2697521075186054
the lambda is 0.45728552044514253
the regulation term lambda/alpha is 1.6952064792064787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3599788369591268
the lambda is 0.5578630994840709
the regulation term lambda/alpha is 1.5497108224376326
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28214470840098693
the lambda is 0.5147412428424135
the regulation term lambda/alpha is 1.824387371145937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3047946959528068
the lambda is 0.49017264669617727
the regulation term lambda/alpha is 1.6082059602903118
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30614579802684255
the lambda is 0.5023470762748998
the regulation term lambda/alpha is 1.6408752937737676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3255209699568203
the lambda is 0.5236099149859503
the regulation term lambda/alpha is 1.608528983725399
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3576599448679719
the lambda is 0.44516271961731024
the regulation term lambda/alpha is 1.2446535487266808
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33168543557164326
the lambda is 0.5775832420169682
the regulation term lambda/alpha is 1.7413584682171297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3261578147404628
the lambda is 0.5144221572261761
the regulation term lambda/alpha is 1.5772185548751085
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282364632072875
the lambda is 0.44263694363965284
the regulation term lambda/alpha is 1.3485306882560433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35293752035849646
the lambda is 0.4682729933522251
the regulation term lambda/alpha is 1.3267872253326214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37369211531714214
the lambda is 0.564086369647003
the regulation term lambda/alpha is 1.5094949733372847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27951937212511563
the lambda is 0.49126618346192186
the regulation term lambda/alpha is 1.757538948828299
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3114929160808529
the lambda is 0.4842489373909195
the regulation term lambda/alpha is 1.5546065813747914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268255037097432
the lambda is 0.4952785871638854
the regulation term lambda/alpha is 1.5154220877564895
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31156140292068624
the lambda is 0.5409416958387997
the regulation term lambda/alpha is 1.7362282066001176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2984440332068146
the lambda is 0.47761423169154177
the regulation term lambda/alpha is 1.6003477320672934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875265274117064
the lambda is 0.493496829589601
the regulation term lambda/alpha is 1.7163523450584708
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28421634942613105
the lambda is 0.48861655405560916
the regulation term lambda/alpha is 1.7191711702799226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31888303416987734
the lambda is 0.46146520502137706
the regulation term lambda/alpha is 1.4471299993198836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3083794902045428
the lambda is 0.5304524237002767
the regulation term lambda/alpha is 1.7201287392635507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2784626713760743
the lambda is 0.47010940575083177
the regulation term lambda/alpha is 1.6882313289163682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3174078957253078
the lambda is 0.4924190958379099
the regulation term lambda/alpha is 1.5513763282815776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26681246997696795
the lambda is 0.49077098032678984
the regulation term lambda/alpha is 1.8393854693866245
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2633120625961719
the lambda is 0.501458020354648
the regulation term lambda/alpha is 1.9044247931919027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2682269719588789
the lambda is 0.5056314455378172
the regulation term lambda/alpha is 1.885087997844356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28153468326373765
the lambda is 0.5261478110113272
the regulation term lambda/alpha is 1.868856102956379
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3487454430299896
the lambda is 0.578459096768398
the regulation term lambda/alpha is 1.6586857501064314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2656010847044581
the lambda is 0.4595254455241781
the regulation term lambda/alpha is 1.7301339188260665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.288735450111872
the lambda is 0.5022036167995328
the regulation term lambda/alpha is 1.7393209479644827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27801676379031226
the lambda is 0.46378196228546364
the regulation term lambda/alpha is 1.6681798462889112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2768407866753184
the lambda is 0.5323898956247404
the regulation term lambda/alpha is 1.9230905316315707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043091702774536
the lambda is 0.484139217637012
the regulation term lambda/alpha is 1.5909452127111339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30786508583123984
the lambda is 0.5065647818667829
the regulation term lambda/alpha is 1.645411594819371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29579029725681066
the lambda is 0.605201646954922
the regulation term lambda/alpha is 2.046049693203677
440
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32740146003629955
the lambda is 0.4778963225587984
the regulation term lambda/alpha is 1.4596646041401684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2839067494262641
the lambda is 0.5316974895052377
the regulation term lambda/alpha is 1.872789183701071
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32479050192256564
the lambda is 0.5271524319425183
the regulation term lambda/alpha is 1.62305371869587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3275663137584342
the lambda is 0.5550075754912951
the regulation term lambda/alpha is 1.6943365424949919
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27238385786500896
the lambda is 0.480998207416061
the regulation term lambda/alpha is 1.765883673086235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3094615282406649
the lambda is 0.5343250665467526
the regulation term lambda/alpha is 1.7266284102727423
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3754066511991224
the lambda is 0.47526641103034967
the regulation term lambda/alpha is 1.2660042370380375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3212406085075432
the lambda is 0.5207843766826087
the regulation term lambda/alpha is 1.621166075802586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32483114486707276
the lambda is 0.5650554751642625
the regulation term lambda/alpha is 1.7395360146130512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3505917520969452
the lambda is 0.5720115717092036
the regulation term lambda/alpha is 1.63156026429005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28915811143321
the lambda is 0.4901253965751557
the regulation term lambda/alpha is 1.6950082919889498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057265830073661
the lambda is 0.47555219190402603
the regulation term lambda/alpha is 1.5554819840202387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321658071600893
the lambda is 0.47232292749938226
the regulation term lambda/alpha is 1.468400668911027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3110639207929494
the lambda is 0.5300790507126444
the regulation term lambda/alpha is 1.7040840010033693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2763851736925947
the lambda is 0.5018269639956854
the regulation term lambda/alpha is 1.8156797533352314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3199915218822999
the lambda is 0.47158977258403206
the regulation term lambda/alpha is 1.4737570852189434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2666597904221731
the lambda is 0.4622041371827106
the regulation term lambda/alpha is 1.7333102094281019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36716248104182164
the lambda is 0.5094491820858834
the regulation term lambda/alpha is 1.387530612170187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33801823734215575
the lambda is 0.523455810943668
the regulation term lambda/alpha is 1.5486022738288077
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3398116457549705
the lambda is 0.4171705834515119
the regulation term lambda/alpha is 1.2276524029206548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980183018655505
the lambda is 0.5002646697871987
the regulation term lambda/alpha is 1.6786374080236546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36965595769093507
the lambda is 0.49838462847721454
the regulation term lambda/alpha is 1.348239134546583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36155456789304846
the lambda is 0.5498776906870732
the regulation term lambda/alpha is 1.520870539380746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30085031949470137
the lambda is 0.55916146211643
the regulation term lambda/alpha is 1.8586035177080078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32601367826381555
the lambda is 0.539561721875379
the regulation term lambda/alpha is 1.6550278649313508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3144612091585158
the lambda is 0.4809902357477765
the regulation term lambda/alpha is 1.5295693768871683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27110185045285456
the lambda is 0.5241151480219411
the regulation term lambda/alpha is 1.933277648774612
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31773017969916173
the lambda is 0.503895734037921
the regulation term lambda/alpha is 1.5859234225562944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2927887167612202
the lambda is 0.427841118711398
the regulation term lambda/alpha is 1.4612623172235082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018438266466975
the lambda is 0.5024174405416054
the regulation term lambda/alpha is 1.6644946697209597
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2937692796298118
the lambda is 0.5169060820746578
the regulation term lambda/alpha is 1.7595647942699384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298662209065031
the lambda is 0.5706966179785464
the regulation term lambda/alpha is 1.9108430884681578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33583027881201444
the lambda is 0.5832875961996494
the regulation term lambda/alpha is 1.7368523120160722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36822264125085347
the lambda is 0.5759172397066278
the regulation term lambda/alpha is 1.5640462459077342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3571047676233322
the lambda is 0.5107909305113889
the regulation term lambda/alpha is 1.4303671550253907
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3448462355755448
the lambda is 0.4578865551422374
the regulation term lambda/alpha is 1.3277991983239414
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2993214308943884
the lambda is 0.466699090974177
the regulation term lambda/alpha is 1.5591903646179133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35458990960268216
the lambda is 0.47009665601585476
the regulation term lambda/alpha is 1.325747414929539
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2876261502415995
the lambda is 0.5412109727077362
the regulation term lambda/alpha is 1.881647312850835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3374707144523453
the lambda is 0.5107103479515754
the regulation term lambda/alpha is 1.5133471619318646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2894563985571941
the lambda is 0.42879206614236887
the regulation term lambda/alpha is 1.4813701416852365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.332350614240967
the lambda is 0.5094866925450643
the regulation term lambda/alpha is 1.5329795424288484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295870349270384
the lambda is 0.5148024449184094
the regulation term lambda/alpha is 1.5619620627139434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3401310615160536
the lambda is 0.4918374575704845
the regulation term lambda/alpha is 1.4460233516404988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31630056401742157
the lambda is 0.47594448308173637
the regulation term lambda/alpha is 1.5047222080056795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33001106561227317
the lambda is 0.5665318367975231
the regulation term lambda/alpha is 1.7167055769673367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40811285698288463
the lambda is 0.4766283671145209
the regulation term lambda/alpha is 1.1678837335293988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36898843870345255
the lambda is 0.47192671390186935
the regulation term lambda/alpha is 1.2789742561043922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36351477504830343
the lambda is 0.5616847806182035
the regulation term lambda/alpha is 1.5451497963007623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018000347335485
the lambda is 0.478850985974331
the regulation term lambda/alpha is 1.5866498703258807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3075230009591652
the lambda is 0.5016440790392653
the regulation term lambda/alpha is 1.6312408420659135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.305591378907066
the lambda is 0.5157715313182584
the regulation term lambda/alpha is 1.6877816814168396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3188142215526311
the lambda is 0.4827221003204672
the regulation term lambda/alpha is 1.51411721211683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28655409805738985
the lambda is 0.5231888394310027
the regulation term lambda/alpha is 1.8257943019409222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2610672232273743
the lambda is 0.44093215386894224
the regulation term lambda/alpha is 1.6889602165221487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197188908623262
the lambda is 0.4585178494714229
the regulation term lambda/alpha is 1.434128112463848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2866369955813157
the lambda is 0.4947899591080243
the regulation term lambda/alpha is 1.7261901524768735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3420198114786506
the lambda is 0.5336361718688922
the regulation term lambda/alpha is 1.5602493012373424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2962646478396895
the lambda is 0.5183147981102287
the regulation term lambda/alpha is 1.7494993138387942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36416085766790013
the lambda is 0.5110246881002336
the regulation term lambda/alpha is 1.4032938393567473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215933009135914
the lambda is 0.4448530415161782
the regulation term lambda/alpha is 1.3832783215708382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3519356856603146
the lambda is 0.5219336181707125
the regulation term lambda/alpha is 1.4830369281576024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3571215933363508
the lambda is 0.5441965633417171
the regulation term lambda/alpha is 1.5238411048115255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3111875306157908
the lambda is 0.6112634475895881
the regulation term lambda/alpha is 1.9642928698974365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34784221498847623
the lambda is 0.5739554183815341
the regulation term lambda/alpha is 1.650045318393999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2739149604680083
the lambda is 0.5205609729037475
the regulation term lambda/alpha is 1.900447394382265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35437227137466215
the lambda is 0.4608453440136575
the regulation term lambda/alpha is 1.30045542848477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3424331492051018
the lambda is 0.4989054447626853
the regulation term lambda/alpha is 1.456942605938725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3521353279230672
the lambda is 0.5290656695152888
the regulation term lambda/alpha is 1.5024498468693164
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.23478154263223824
the lambda is 0.4607287536802082
the regulation term lambda/alpha is 1.9623721205456668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398510605463478
the lambda is 0.5379580580108677
the regulation term lambda/alpha is 1.5829229932254478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3966462153583744
the lambda is 0.5152184367427028
the regulation term lambda/alpha is 1.2989369790839855
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29608970007821744
the lambda is 0.46862804824625376
the regulation term lambda/alpha is 1.582723235973616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36261608237247395
the lambda is 0.49702096798805695
the regulation term lambda/alpha is 1.370653404935097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945148944805468
the lambda is 0.4918299895662158
the regulation term lambda/alpha is 1.6699664389934683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36367263579218356
the lambda is 0.5583644449751518
the regulation term lambda/alpha is 1.5353490750242276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38067426559877526
the lambda is 0.4711287728419561
the regulation term lambda/alpha is 1.2376165541447934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336463367593088
the lambda is 0.5755279306724335
the regulation term lambda/alpha is 1.7249640330612024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398506358619743
the lambda is 0.4811821982306596
the regulation term lambda/alpha is 1.4158637573539372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29675972713756715
the lambda is 0.48355280694352265
the regulation term lambda/alpha is 1.6294421470449896
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3225506722734557
the lambda is 0.526687446017561
the regulation term lambda/alpha is 1.6328828035151015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29503406883654676
the lambda is 0.5209328857825728
the regulation term lambda/alpha is 1.765670276103528
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2774225048375893
the lambda is 0.48865590241066154
the regulation term lambda/alpha is 1.761414066593963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2853296201929175
the lambda is 0.5574480010681546
the regulation term lambda/alpha is 1.953698325085394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30709052695577344
the lambda is 0.5164990850977434
the regulation term lambda/alpha is 1.6819114878529895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24598670366653747
the lambda is 0.5129719386084443
the regulation term lambda/alpha is 2.085364497195894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3027496264700896
the lambda is 0.5277381675004604
the regulation term lambda/alpha is 1.7431505156707396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2920087360499511
the lambda is 0.5199194152507522
the regulation term lambda/alpha is 1.7804926738966285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2699831514975729
the lambda is 0.4520944795344032
the regulation term lambda/alpha is 1.6745284919694976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35348680185982784
the lambda is 0.5446946168634725
the regulation term lambda/alpha is 1.5409192478973133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3342755854606211
the lambda is 0.4981774219820831
the regulation term lambda/alpha is 1.49031949580048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3652747639479643
the lambda is 0.5748499644425241
the regulation term lambda/alpha is 1.5737467276124641
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33100516339543645
the lambda is 0.48519700469398946
the regulation term lambda/alpha is 1.465829111899222
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37416242268084915
the lambda is 0.5482269601087559
the regulation term lambda/alpha is 1.465211167334084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3204736324075193
the lambda is 0.5234742425475215
the regulation term lambda/alpha is 1.6334393522954906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33962215819204195
the lambda is 0.5045656295416542
the regulation term lambda/alpha is 1.4856675790168665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36852580362522647
the lambda is 0.49698678057558393
the regulation term lambda/alpha is 1.3485806846811634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35572838972893467
the lambda is 0.5025047259987534
the regulation term lambda/alpha is 1.4126078786730023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29871155539620853
the lambda is 0.494844152139565
the regulation term lambda/alpha is 1.656595277953703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33332421563856507
the lambda is 0.5198626221140855
the regulation term lambda/alpha is 1.5596305270475472
450
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.346315034069736
the lambda is 0.5325687944783023
the regulation term lambda/alpha is 1.5378159828055895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2836421246791474
the lambda is 0.4985329452345532
the regulation term lambda/alpha is 1.7576125048368176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3918145507966512
the lambda is 0.48975385493231316
the regulation term lambda/alpha is 1.2499634174803573
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3056208843250887
the lambda is 0.46083379626086135
the regulation term lambda/alpha is 1.5078609476526244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2740706963843675
the lambda is 0.4846470409848299
the regulation term lambda/alpha is 1.768328564047365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28753302744055254
the lambda is 0.4519602968209065
the regulation term lambda/alpha is 1.5718552433575628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296792166928507
the lambda is 0.4750306650950063
the regulation term lambda/alpha is 1.4408875083489836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2878783885115757
the lambda is 0.48526030031201817
the regulation term lambda/alpha is 1.6856433816410141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37177405058280616
the lambda is 0.5348520901304388
the regulation term lambda/alpha is 1.4386482577038007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2951061269616968
the lambda is 0.4381314087770291
the regulation term lambda/alpha is 1.4846571072172154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32369032423028715
the lambda is 0.4744176616267581
the regulation term lambda/alpha is 1.4656528975800867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235433568212428
the lambda is 0.5047449974529337
the regulation term lambda/alpha is 1.5600536583781706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29076235957199004
the lambda is 0.519409898807456
the regulation term lambda/alpha is 1.7863725537653543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38783962462363475
the lambda is 0.557280645289162
the regulation term lambda/alpha is 1.436884242629812
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4070787206560325
the lambda is 0.4847217785684247
the regulation term lambda/alpha is 1.190732293221482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31063335572610473
the lambda is 0.6581614713832149
the regulation term lambda/alpha is 2.1187726921494443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32767854713595057
the lambda is 0.4719877271288381
the regulation term lambda/alpha is 1.4403986200934145
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32228350106637405
the lambda is 0.4952585035842512
the regulation term lambda/alpha is 1.5367169028061822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28750418753776125
the lambda is 0.5201368967267436
the regulation term lambda/alpha is 1.8091454638671236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3150663873994719
the lambda is 0.4641384611414833
the regulation term lambda/alpha is 1.4731449615188665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30784450872682645
the lambda is 0.4740616742517077
the regulation term lambda/alpha is 1.539938705459834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3493553153284083
the lambda is 0.5524139237733771
the regulation term lambda/alpha is 1.58123806776515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25140134827137256
the lambda is 0.5063659368315429
the regulation term lambda/alpha is 2.0141735130431817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31747771749262593
the lambda is 0.5193840343852943
the regulation term lambda/alpha is 1.6359700406292548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159863184590668
the lambda is 0.5263469611887672
the regulation term lambda/alpha is 1.6657270598155687
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2866277132499299
the lambda is 0.5653768849726063
the regulation term lambda/alpha is 1.9725129805561274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32996625653801737
the lambda is 0.45971359267012235
the regulation term lambda/alpha is 1.3932139531278285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3462307889255156
the lambda is 0.5749848286605101
the regulation term lambda/alpha is 1.6606981442779956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34324189212200157
the lambda is 0.5192178185063661
the regulation term lambda/alpha is 1.5126877878933722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34382243119084416
the lambda is 0.5022124346704228
the regulation term lambda/alpha is 1.4606738511242208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27800635539093377
the lambda is 0.5058215068240738
the regulation term lambda/alpha is 1.8194602282123562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2729296908484394
the lambda is 0.5349056310736712
the regulation term lambda/alpha is 1.9598660351347033
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31677492713564437
the lambda is 0.5335301394744815
the regulation term lambda/alpha is 1.684256214021704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3037768997776827
the lambda is 0.49520646570961985
the regulation term lambda/alpha is 1.6301649864490477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33706496430489963
the lambda is 0.5320497926485697
the regulation term lambda/alpha is 1.5784784803895908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30072624962852434
the lambda is 0.5166110211122803
the regulation term lambda/alpha is 1.717878042739635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30971626538142366
the lambda is 0.49104247053188144
the regulation term lambda/alpha is 1.5854590973036233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27643571275400486
the lambda is 0.5567020864422417
the regulation term lambda/alpha is 2.013857330140411
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3053430837164509
the lambda is 0.4588626026417207
the regulation term lambda/alpha is 1.5027771287848517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517797320283888
the lambda is 0.47019425170382273
the regulation term lambda/alpha is 1.3366155264052502
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3245890682242231
the lambda is 0.4663352976457472
the regulation term lambda/alpha is 1.4366944031633473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33920459977031264
the lambda is 0.47975857162404817
the regulation term lambda/alpha is 1.4143634017607944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3938190722068332
the lambda is 0.5451602646680588
the regulation term lambda/alpha is 1.3842911711034183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3187860928510858
the lambda is 0.44652382676399033
the regulation term lambda/alpha is 1.4007004595792532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3623787099280865
the lambda is 0.5065599344773698
the regulation term lambda/alpha is 1.3978744352224661
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35300152773063326
the lambda is 0.5601328950717621
the regulation term lambda/alpha is 1.5867718722712885
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2904612069609523
the lambda is 0.4300097502787223
the regulation term lambda/alpha is 1.480437800206931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099640085948831
the lambda is 0.500207698451354
the regulation term lambda/alpha is 1.613760580523127
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3253838665427645
the lambda is 0.49324445569191433
the regulation term lambda/alpha is 1.5158847945741287
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31909384276713537
the lambda is 0.48096267416263944
the regulation term lambda/alpha is 1.5072765741632652
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32242887557447036
the lambda is 0.5216767597293425
the regulation term lambda/alpha is 1.6179591818501766
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29904618498206237
the lambda is 0.4760887819227136
the regulation term lambda/alpha is 1.592024261908811
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2754966611034728
the lambda is 0.5238518609144104
the regulation term lambda/alpha is 1.9014817051363782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33269214151429904
the lambda is 0.4729604252000086
the regulation term lambda/alpha is 1.4216158609796343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787542816021868
the lambda is 0.5106803993902411
the regulation term lambda/alpha is 1.8320091675543788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30067146668542405
the lambda is 0.4956511853971569
the regulation term lambda/alpha is 1.64848095118959
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3239212820184561
the lambda is 0.46804750899688097
the regulation term lambda/alpha is 1.4449421355717311
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28525326339416635
the lambda is 0.4628453214613895
the regulation term lambda/alpha is 1.6225767795049706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.288141022208204
the lambda is 0.4485896257249925
the regulation term lambda/alpha is 1.5568405438669268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29485790494324016
the lambda is 0.553663451793943
the regulation term lambda/alpha is 1.8777297217129814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3247521225666602
the lambda is 0.540799342962803
the regulation term lambda/alpha is 1.6652680779685924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.285922553466746
the lambda is 0.4237875043158512
the regulation term lambda/alpha is 1.4821758520883506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29352187786193634
the lambda is 0.455901962815112
the regulation term lambda/alpha is 1.553212885308516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30563209153319754
the lambda is 0.41838869835579257
the regulation term lambda/alpha is 1.3689292124297343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2784482826706689
the lambda is 0.5066215754558245
the regulation term lambda/alpha is 1.8194458611728075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32951147517348794
the lambda is 0.5639022270627144
the regulation term lambda/alpha is 1.7113280402930418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33509734785322165
the lambda is 0.5683133842958029
the regulation term lambda/alpha is 1.6959650320620676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2947796371338069
the lambda is 0.44432413099013174
the regulation term lambda/alpha is 1.507309444133834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300996296921228
the lambda is 0.484762405213333
the regulation term lambda/alpha is 1.4685336232138795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902207211582435
the lambda is 0.4516113992526143
the regulation term lambda/alpha is 1.5560963305799664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052546431172058
the lambda is 0.526027001446289
the regulation term lambda/alpha is 1.7232399680299548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2710882642928354
the lambda is 0.5457562198007113
the regulation term lambda/alpha is 2.0132048918619865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3591628893041212
the lambda is 0.571871289304859
the regulation term lambda/alpha is 1.5922337923410201
using Bay_non_info_prior option for model regressor
Convergence after  5  iterations
the alpha is 0.28574996790554025
the lambda is 0.4734116557343152
the regulation term lambda/alpha is 1.6567338894358508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3254393764892571
the lambda is 0.4862825438811642
the regulation term lambda/alpha is 1.4942338850542158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34479541030767863
the lambda is 0.5194353136170469
the regulation term lambda/alpha is 1.506502981444933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3439099945200545
the lambda is 0.5895209260115536
the regulation term lambda/alpha is 1.7141721246986812
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3244537475193073
the lambda is 0.46330005208025854
the regulation term lambda/alpha is 1.427938668061428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.343303478311308
the lambda is 0.5417816975990314
the regulation term lambda/alpha is 1.578142173985616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26729381358733084
the lambda is 0.5189012672146986
the regulation term lambda/alpha is 1.9413141675467998
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.293772219326442
the lambda is 0.5321152094404359
the regulation term lambda/alpha is 1.811319023495361
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35642582987211585
the lambda is 0.5565772792654752
the regulation term lambda/alpha is 1.5615514719154133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3476197618617908
the lambda is 0.556763473794323
the regulation term lambda/alpha is 1.6016450584178386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32549569289922753
the lambda is 0.5255169554589555
the regulation term lambda/alpha is 1.6145127782740092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32730304966866147
the lambda is 0.5122884477836549
the regulation term lambda/alpha is 1.565180795908439
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2988335234434844
the lambda is 0.5154193624471171
the regulation term lambda/alpha is 1.7247708908555353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35699434510429123
the lambda is 0.5468916454721507
the regulation term lambda/alpha is 1.5319336369666683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2824080675597357
the lambda is 0.5022081703048177
the regulation term lambda/alpha is 1.7783067411790185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2734117174333252
the lambda is 0.47784699993641644
the regulation term lambda/alpha is 1.7477195360251716
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36086714415820387
the lambda is 0.5676271778502227
the regulation term lambda/alpha is 1.5729533348743308
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2810867406600756
the lambda is 0.5405151334286223
the regulation term lambda/alpha is 1.9229478137578861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33829620915581765
the lambda is 0.5186641497891352
the regulation term lambda/alpha is 1.5331657161734287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29538515907113544
the lambda is 0.524408470308228
the regulation term lambda/alpha is 1.7753379078260956
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33143739969629715
the lambda is 0.4676382153702792
the regulation term lambda/alpha is 1.4109397907381171
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2788526308022171
the lambda is 0.49191066652597865
the regulation term lambda/alpha is 1.7640524498937864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2937717781493702
the lambda is 0.4322686728773087
the regulation term lambda/alpha is 1.4714438384803552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34440851472733874
the lambda is 0.5510712485864082
the regulation term lambda/alpha is 1.6000511747587896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30090959720235144
the lambda is 0.4669487239019454
the regulation term lambda/alpha is 1.551790731313692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32420599849193527
the lambda is 0.4642380595227193
the regulation term lambda/alpha is 1.4319231034655497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2888907637737908
the lambda is 0.47323993297845635
the regulation term lambda/alpha is 1.6381275981153065
460
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2670361163501456
the lambda is 0.530171070157091
the regulation term lambda/alpha is 1.9853908804677007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35210116777067746
the lambda is 0.5627951697755993
the regulation term lambda/alpha is 1.5983905232093585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3601040730563192
the lambda is 0.5722834065760016
the regulation term lambda/alpha is 1.5892166998247148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2992532448990914
the lambda is 0.5009688347099077
the regulation term lambda/alpha is 1.6740631663955228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3759411275676972
the lambda is 0.5148045464669789
the regulation term lambda/alpha is 1.369375438643052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29257300521956303
the lambda is 0.5468247919784299
the regulation term lambda/alpha is 1.8690199786821147
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3465172100477322
the lambda is 0.48996177891443327
the regulation term lambda/alpha is 1.413960879019376
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2857351611357399
the lambda is 0.5129312952916459
the regulation term lambda/alpha is 1.7951283743059379
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27888382940017703
the lambda is 0.5603375000863366
the regulation term lambda/alpha is 2.009214737518162
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33092955549453246
the lambda is 0.5822883585629212
the regulation term lambda/alpha is 1.759553805016795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3428630292407952
the lambda is 0.4729742225955451
the regulation term lambda/alpha is 1.3794844653938232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30675837200523715
the lambda is 0.4958149443455873
the regulation term lambda/alpha is 1.6163045236696016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.341192463613785
the lambda is 0.5503558552576724
the regulation term lambda/alpha is 1.6130363766787392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133386396723758
the lambda is 0.4995274693358715
the regulation term lambda/alpha is 1.5942096061250957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3401024494271758
the lambda is 0.5520806064095635
the regulation term lambda/alpha is 1.6232773605112694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34916235486373304
the lambda is 0.5202622855318442
the regulation term lambda/alpha is 1.4900297190826486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206836051546839
the lambda is 0.5536876287938105
the regulation term lambda/alpha is 1.726585394119963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30073744406296726
the lambda is 0.4519489198244414
the regulation term lambda/alpha is 1.5028022906579404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36832058654545546
the lambda is 0.5430628409951933
the regulation term lambda/alpha is 1.4744297789289398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2952715649743986
the lambda is 0.5054642361726792
the regulation term lambda/alpha is 1.711862218146557
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2648654018313104
the lambda is 0.48487039365466705
the regulation term lambda/alpha is 1.8306294076244627
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2893456382430936
the lambda is 0.4739562753121529
the regulation term lambda/alpha is 1.6380280628732296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3109278634077056
the lambda is 0.5759667757637694
the regulation term lambda/alpha is 1.8524128698254692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193239518831248
the lambda is 0.5847891142129478
the regulation term lambda/alpha is 1.831334952371457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095476226320693
the lambda is 0.46474573040743916
the regulation term lambda/alpha is 1.5013706984913255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3578635126542716
the lambda is 0.5223929607577242
the regulation term lambda/alpha is 1.4597547452746404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32575574304575133
the lambda is 0.5102960765360529
the regulation term lambda/alpha is 1.56649909458199
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.22995979592071097
the lambda is 0.4743709268945795
the regulation term lambda/alpha is 2.0628428764919424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3327908121318531
the lambda is 0.4632026030009694
the regulation term lambda/alpha is 1.3918731711182177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980089250997274
the lambda is 0.5350325470036722
the regulation term lambda/alpha is 1.7953574606016445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34044357598082114
the lambda is 0.5468881107532418
the regulation term lambda/alpha is 1.6063986790693643
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.309299387067721
the lambda is 0.4677237351503298
the regulation term lambda/alpha is 1.5122038862880833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35204637911877706
the lambda is 0.4679161946816169
the regulation term lambda/alpha is 1.3291322463048156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.257378864631292
the lambda is 0.46702552992674806
the regulation term lambda/alpha is 1.8145449922462955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4031410423448563
the lambda is 0.5489657003267532
the regulation term lambda/alpha is 1.3617211910097584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35135261437503557
the lambda is 0.5041386686759315
the regulation term lambda/alpha is 1.4348510529021177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879620925097434
the lambda is 0.48779298260311704
the regulation term lambda/alpha is 1.6939485970244927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34416798578841346
the lambda is 0.5478341795368691
the regulation term lambda/alpha is 1.5917639122706344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3092750357303787
the lambda is 0.4623059743743702
the regulation term lambda/alpha is 1.4948053381760873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.304331416009894
the lambda is 0.48029701692599713
the regulation term lambda/alpha is 1.5782038647971275
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3005423917762902
the lambda is 0.5433836232469594
the regulation term lambda/alpha is 1.8080099117978303
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36136204394188026
the lambda is 0.5056881000944599
the regulation term lambda/alpha is 1.3993946198062581
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3118329123792791
the lambda is 0.4529582885254171
the regulation term lambda/alpha is 1.4525672901854845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.357717998862103
the lambda is 0.4846533564066781
the regulation term lambda/alpha is 1.354847555751612
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36290319745168986
the lambda is 0.5516935116780144
the regulation term lambda/alpha is 1.520222239848015
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29749310181636873
the lambda is 0.5025595019398718
the regulation term lambda/alpha is 1.6893148072054551
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492300603042103
the lambda is 0.5280983555080889
the regulation term lambda/alpha is 1.5121789775143313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31128305258549205
the lambda is 0.5271976546290417
the regulation term lambda/alpha is 1.6936278742134538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885390083968754
the lambda is 0.46669439998330986
the regulation term lambda/alpha is 1.617439536429639
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.309381896253212
the lambda is 0.5546703716666739
the regulation term lambda/alpha is 1.7928339647020162
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34341578415423984
the lambda is 0.564166924328836
the regulation term lambda/alpha is 1.6428101163674211
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36461624284685196
the lambda is 0.5286304194307954
the regulation term lambda/alpha is 1.449826851660126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33749372232257324
the lambda is 0.4752592685706476
the regulation term lambda/alpha is 1.4082018038735529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095392451081786
the lambda is 0.549026045654848
the regulation term lambda/alpha is 1.773688003480699
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3546660265693265
the lambda is 0.4562008174387565
the regulation term lambda/alpha is 1.2862828217621318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3067707187262898
the lambda is 0.5422077551724028
the regulation term lambda/alpha is 1.7674690642693873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.291985032729752
the lambda is 0.4749493929381549
the regulation term lambda/alpha is 1.626622393955879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3418211332458382
the lambda is 0.5848538485959515
the regulation term lambda/alpha is 1.7109938260468052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.329511878417223
the lambda is 0.5411599891288071
the regulation term lambda/alpha is 1.6423079851573619
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3477196644785268
the lambda is 0.5649610093649843
the regulation term lambda/alpha is 1.624760021013632
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31994141160419154
the lambda is 0.5422258230883823
the regulation term lambda/alpha is 1.6947659897155953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3771951163113951
the lambda is 0.4889553535831264
the regulation term lambda/alpha is 1.2962929063468234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3320046814621721
the lambda is 0.5538606728921238
the regulation term lambda/alpha is 1.6682315154499696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29520722593997145
the lambda is 0.4656770835164197
the regulation term lambda/alpha is 1.5774582821733238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36462979712940335
the lambda is 0.5883779644916798
the regulation term lambda/alpha is 1.613631055727655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29104594095245084
the lambda is 0.48873261246853295
the regulation term lambda/alpha is 1.6792284093334215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37327160873543225
the lambda is 0.5791383471340692
the regulation term lambda/alpha is 1.5515199484259499
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3627829021842749
the lambda is 0.5677812912449738
the regulation term lambda/alpha is 1.5650718041738647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3257114136220237
the lambda is 0.5370493725004185
the regulation term lambda/alpha is 1.6488503320416177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39565005764011557
the lambda is 0.5319839057710761
the regulation term lambda/alpha is 1.3445818988227476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351376394831571
the lambda is 0.5222447706871451
the regulation term lambda/alpha is 1.5582993646805565
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38282939831121204
the lambda is 0.5660470923518038
the regulation term lambda/alpha is 1.4785883603736443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28766231669951137
the lambda is 0.5276437939711413
the regulation term lambda/alpha is 1.8342471826864681
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3552143249978193
the lambda is 0.5200667208464705
the regulation term lambda/alpha is 1.4640927582232595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419624006446447
the lambda is 0.47314139107112707
the regulation term lambda/alpha is 1.3836064730484767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3092042768314575
the lambda is 0.5325203214067705
the regulation term lambda/alpha is 1.722228187991847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3545069282623978
the lambda is 0.5667454836765883
the regulation term lambda/alpha is 1.598686622161292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30756498273277344
the lambda is 0.4404314572499247
the regulation term lambda/alpha is 1.4319948042739046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3281106664301906
the lambda is 0.5054313583732708
the regulation term lambda/alpha is 1.5404295260264185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32460737195589784
the lambda is 0.5414735670573119
the regulation term lambda/alpha is 1.6680877079121854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27555325142238934
the lambda is 0.49055971564539025
the regulation term lambda/alpha is 1.780271918814786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2616385236639978
the lambda is 0.4864013794108158
the regulation term lambda/alpha is 1.8590587219314216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36906092455173073
the lambda is 0.5267302846977051
the regulation term lambda/alpha is 1.4272177021652535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197982521384626
the lambda is 0.5268626446103711
the regulation term lambda/alpha is 1.6474844408538425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2873120398636111
the lambda is 0.48565824840742156
the regulation term lambda/alpha is 1.6903511897307426
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27670273914614274
the lambda is 0.5011896947341957
the regulation term lambda/alpha is 1.8112928563005242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2915730448942714
the lambda is 0.4410061182438315
the regulation term lambda/alpha is 1.5125064746768575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3110674421533555
the lambda is 0.47465460254540875
the regulation term lambda/alpha is 1.525889688935704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26824019896345463
the lambda is 0.5008626683018154
the regulation term lambda/alpha is 1.8672170324853268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2816181862060244
the lambda is 0.4817289218646203
the regulation term lambda/alpha is 1.7105746200360803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37486018312273006
the lambda is 0.5204492381005033
the regulation term lambda/alpha is 1.3883822863366286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3714936052190466
the lambda is 0.5530111754921321
the regulation term lambda/alpha is 1.4886155985539935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2883249928162232
the lambda is 0.45224631274835375
the regulation term lambda/alpha is 1.568529693978396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2845745197802647
the lambda is 0.4590074466122842
the regulation term lambda/alpha is 1.6129604539672369
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38368906289135585
the lambda is 0.6104282523861052
the regulation term lambda/alpha is 1.590945146536408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.44397218807823147
the lambda is 0.566723723613077
the regulation term lambda/alpha is 1.276484741231619
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341358557295025
the lambda is 0.5019902677445268
the regulation term lambda/alpha is 1.5023537855539508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4117798501044398
the lambda is 0.5407129306372848
the regulation term lambda/alpha is 1.313111679700072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039342457638586
the lambda is 0.509513828344883
the regulation term lambda/alpha is 1.6763949289898359
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3232382910018743
the lambda is 0.535270853353971
the regulation term lambda/alpha is 1.6559636288600077
470
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2748538258925601
the lambda is 0.5582402466132229
the regulation term lambda/alpha is 2.0310441188162254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35021441310038615
the lambda is 0.5517332574819487
the regulation term lambda/alpha is 1.5754156220971944
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32135551341764806
the lambda is 0.40520755603283354
the regulation term lambda/alpha is 1.2609323291933305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31944861476679326
the lambda is 0.46844555816298894
the regulation term lambda/alpha is 1.46641912504447
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31580085760326543
the lambda is 0.48066242942139725
the regulation term lambda/alpha is 1.5220428249287539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2866105058886991
the lambda is 0.47571842427721445
the regulation term lambda/alpha is 1.6598080478667192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31320040455902115
the lambda is 0.5370345560717823
the regulation term lambda/alpha is 1.7146675044303163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322655090161372
the lambda is 0.5136784773099675
the regulation term lambda/alpha is 1.592035870418339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29431316840954524
the lambda is 0.5313228842498233
the regulation term lambda/alpha is 1.805297694021194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29219698003715816
the lambda is 0.5477766591385768
the regulation term lambda/alpha is 1.87468282207748
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3044940312754045
the lambda is 0.41852174430242745
the regulation term lambda/alpha is 1.3744825885400977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2776417464612621
the lambda is 0.49964926052126446
the regulation term lambda/alpha is 1.7996186340478084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32526766348830977
the lambda is 0.49762888697175595
the regulation term lambda/alpha is 1.529905806298021
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35494806858125255
the lambda is 0.478256836217333
the regulation term lambda/alpha is 1.3473994607970472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30734773314520303
the lambda is 0.5155497875114279
the regulation term lambda/alpha is 1.677415291909318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31986005648285076
the lambda is 0.4571060650727397
the regulation term lambda/alpha is 1.4290814242298095
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31285573895047425
the lambda is 0.48489257324340523
the regulation term lambda/alpha is 1.549891892250584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3108003229160838
the lambda is 0.48747858098406355
the regulation term lambda/alpha is 1.5684622731736446
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30141006074320303
the lambda is 0.5284520926811384
the regulation term lambda/alpha is 1.75326626914213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35645684067617445
the lambda is 0.5764135364994695
the regulation term lambda/alpha is 1.6170640333512807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2916509027659386
the lambda is 0.5331431728586874
the regulation term lambda/alpha is 1.828018249909399
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3327223814801524
the lambda is 0.5092721057841597
the regulation term lambda/alpha is 1.530621725892338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3143504523116841
the lambda is 0.49836558027456823
the regulation term lambda/alpha is 1.5853821001677129
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072478402334295
the lambda is 0.47997413150252355
the regulation term lambda/alpha is 1.5621725156403587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066445051227414
the lambda is 0.5212827206089802
the regulation term lambda/alpha is 1.6999578074954418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34170828193095
the lambda is 0.5311940993469114
the regulation term lambda/alpha is 1.5545250947539264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3613850316602251
the lambda is 0.5584268644617403
the regulation term lambda/alpha is 1.5452407143048865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29449397733384314
the lambda is 0.5361008714613744
the regulation term lambda/alpha is 1.8204137018858004
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2822609852077801
the lambda is 0.4749040595285483
the regulation term lambda/alpha is 1.6824998296486435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202994507576125
the lambda is 0.48169477713586667
the regulation term lambda/alpha is 1.5038888639880639
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3391015845302126
the lambda is 0.5008498318352588
the regulation term lambda/alpha is 1.476990538186751
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32697593199104436
the lambda is 0.48715636371315996
the regulation term lambda/alpha is 1.4898844717613737
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28929182583135127
the lambda is 0.41909292551209293
the regulation term lambda/alpha is 1.4486856803082018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2857597490696831
the lambda is 0.4751234950472331
the regulation term lambda/alpha is 1.6626676660867772
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32194820987044026
the lambda is 0.49323922025690703
the regulation term lambda/alpha is 1.5320452331615648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32850016705422497
the lambda is 0.4494410863136183
the regulation term lambda/alpha is 1.368160906412659
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31121621168270064
the lambda is 0.4710576499800604
the regulation term lambda/alpha is 1.5136025447810717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30171164972225273
the lambda is 0.45416109499951607
the regulation term lambda/alpha is 1.5052819319956787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3727615674752626
the lambda is 0.5319921419323494
the regulation term lambda/alpha is 1.427164676700888
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34975246783160513
the lambda is 0.47439498894723564
the regulation term lambda/alpha is 1.356373528651246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222530461028691
the lambda is 0.4867572883872161
the regulation term lambda/alpha is 1.5104815742589885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33427707071320206
the lambda is 0.5659176056418459
the regulation term lambda/alpha is 1.6929596889024532
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3247518966143204
the lambda is 0.4987852459751928
the regulation term lambda/alpha is 1.5358963293986754
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3037738520479832
the lambda is 0.5175376692470826
the regulation term lambda/alpha is 1.7036939346752396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397080393496829
the lambda is 0.5075665129951912
the regulation term lambda/alpha is 1.4941257026676398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.42831201969188387
the lambda is 0.5358027909556269
the regulation term lambda/alpha is 1.2509637047801483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3505172985367696
the lambda is 0.5128172470173783
the regulation term lambda/alpha is 1.4630297824333576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30232219241105257
the lambda is 0.5716309790411985
the regulation term lambda/alpha is 1.890800587553229
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3080474236623719
the lambda is 0.4715371478128207
the regulation term lambda/alpha is 1.5307290747856985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3406800330276583
the lambda is 0.523120172999873
the regulation term lambda/alpha is 1.5355175598371602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2876509207951891
the lambda is 0.5072844166487269
the regulation term lambda/alpha is 1.7635417792036878
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30328341509248913
the lambda is 0.4751988386057955
the regulation term lambda/alpha is 1.5668474270539294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3791721539224303
the lambda is 0.489541175697443
the regulation term lambda/alpha is 1.2910789218914835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4064324677773773
the lambda is 0.5501470562711333
the regulation term lambda/alpha is 1.3536001670331008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879890883129583
the lambda is 0.47743911961349894
the regulation term lambda/alpha is 1.6578375327007702
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27568342635591775
the lambda is 0.4772834114537425
the regulation term lambda/alpha is 1.7312735036800926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330970585506813
the lambda is 0.5347445496632246
the regulation term lambda/alpha is 1.6053715754498694
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27093088900819
the lambda is 0.5207326108848425
the regulation term lambda/alpha is 1.9220127051260705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3302288030726398
the lambda is 0.567841620184522
the regulation term lambda/alpha is 1.719539951999932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2965661238342885
the lambda is 0.5315363027949882
the regulation term lambda/alpha is 1.7923028292064587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3465474219257732
the lambda is 0.53060125746473
the regulation term lambda/alpha is 1.5311072133105614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2968601563193368
the lambda is 0.5454258172019133
the regulation term lambda/alpha is 1.8373156706661258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37812000843083343
the lambda is 0.5807632735118745
the regulation term lambda/alpha is 1.5359231475795045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3399966382692352
the lambda is 0.5035028916762004
the regulation term lambda/alpha is 1.4809055002405305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3535226558179585
the lambda is 0.5512639106804306
the regulation term lambda/alpha is 1.5593453534256547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2979133212468629
the lambda is 0.563214922036571
the regulation term lambda/alpha is 1.8905328559304957
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3340704813578999
the lambda is 0.5189077708701705
the regulation term lambda/alpha is 1.553288302399423
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29168871213160175
the lambda is 0.5306011329030808
the regulation term lambda/alpha is 1.819066391104255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3071310014881647
the lambda is 0.4731093105531223
the regulation term lambda/alpha is 1.5404153545579264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2915039077295772
the lambda is 0.5256880587820408
the regulation term lambda/alpha is 1.8033653918276527
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.36701008021587855
the lambda is 0.5379855154418851
the regulation term lambda/alpha is 1.4658603249410407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3572581738376483
the lambda is 0.5368149695857469
the regulation term lambda/alpha is 1.5025967462670178
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33632565047953183
the lambda is 0.5373923642298903
the regulation term lambda/alpha is 1.5978334196742898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33525327302071145
the lambda is 0.5553345268629907
the regulation term lambda/alpha is 1.6564626554106243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973532139000413
the lambda is 0.5621517618635637
the regulation term lambda/alpha is 1.890518533465515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31861560955607704
the lambda is 0.48971645036974315
the regulation term lambda/alpha is 1.5370133655788512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3400700769574582
the lambda is 0.6207886897971362
the regulation term lambda/alpha is 1.8254728418072346
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3115121633429803
the lambda is 0.43235712611414345
the regulation term lambda/alpha is 1.3879301580853867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2859791870361365
the lambda is 0.4054639712464763
the regulation term lambda/alpha is 1.4178093708450246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30904753707385846
the lambda is 0.4915472164029289
the regulation term lambda/alpha is 1.5905230019207541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32719136468636556
the lambda is 0.5918235567823953
the regulation term lambda/alpha is 1.8087994386700794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32071139052230435
the lambda is 0.511367247283652
the regulation term lambda/alpha is 1.594477971146735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3709046169384079
the lambda is 0.5859623809333753
the regulation term lambda/alpha is 1.5798195928919365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3909348921344757
the lambda is 0.523773427352055
the regulation term lambda/alpha is 1.339797081023622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3470073441191741
the lambda is 0.5307820707262795
the regulation term lambda/alpha is 1.5295989543782995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35727862219584605
the lambda is 0.5464088796619022
the regulation term lambda/alpha is 1.529363487531539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28184443544888393
the lambda is 0.5300109356660881
the regulation term lambda/alpha is 1.8805087807462226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31350276039950065
the lambda is 0.47939560285201255
the regulation term lambda/alpha is 1.529159112478348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3032206743367625
the lambda is 0.5106138290030005
the regulation term lambda/alpha is 1.6839677245618923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.325181364313248
the lambda is 0.4989397646899809
the regulation term lambda/alpha is 1.5343430449764366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3144988912592418
the lambda is 0.5480817961484672
the regulation term lambda/alpha is 1.7427145576061276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2691008843922549
the lambda is 0.5140071557853397
the regulation term lambda/alpha is 1.9100909197908738
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33806339906210614
the lambda is 0.488289619110466
the regulation term lambda/alpha is 1.4443729207750218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27047797053213635
the lambda is 0.4924783769267051
the regulation term lambda/alpha is 1.8207707487519476
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3242201968735067
the lambda is 0.47474593184439107
the regulation term lambda/alpha is 1.464270074543232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27056734714407593
the lambda is 0.49059572807540097
the regulation term lambda/alpha is 1.8132111404195455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2621849059138533
the lambda is 0.4783565750520082
the regulation term lambda/alpha is 1.8245008170271362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3393009378989459
the lambda is 0.5102798381326046
the regulation term lambda/alpha is 1.5039152007430683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367314639716696
the lambda is 0.5080750952941606
the regulation term lambda/alpha is 1.5088435434619998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3362653175765119
the lambda is 0.5079944227458397
the regulation term lambda/alpha is 1.5106952641057119
480
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30614339155346476
the lambda is 0.5279240672898797
the regulation term lambda/alpha is 1.7244339804659259
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30926948403236854
the lambda is 0.4666334468476803
the regulation term lambda/alpha is 1.508824733573914
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3082975820253396
the lambda is 0.4717187637476036
the regulation term lambda/alpha is 1.5300761058477328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30629907626189823
the lambda is 0.5280768074216505
the regulation term lambda/alpha is 1.7240561540907922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34917565513168297
the lambda is 0.5197279746564863
the regulation term lambda/alpha is 1.4884427565847447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34591784766046757
the lambda is 0.522361409656039
the regulation term lambda/alpha is 1.5100736003906858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2825952936149451
the lambda is 0.4751524524817253
the regulation term lambda/alpha is 1.6813884138111377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3450277232199392
the lambda is 0.485157984849975
the regulation term lambda/alpha is 1.4061420349712284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31616110364162114
the lambda is 0.5712078639175171
the regulation term lambda/alpha is 1.8066987283957603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3716859352743605
the lambda is 0.4915354659303722
the regulation term lambda/alpha is 1.3224483879583568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29868270652855866
the lambda is 0.499423316785613
the regulation term lambda/alpha is 1.672086484651767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.365002276870265
the lambda is 0.49169958652050366
the regulation term lambda/alpha is 1.3471137515541347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2790015451138855
the lambda is 0.4355807974017271
the regulation term lambda/alpha is 1.5612128500002667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27129568623126193
the lambda is 0.48732818346767004
the regulation term lambda/alpha is 1.796299050078719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2940067386000451
the lambda is 0.5431898183520134
the regulation term lambda/alpha is 1.84754206974469
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34637745721823093
the lambda is 0.4787050943325355
the regulation term lambda/alpha is 1.3820330519688906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3957095917570318
the lambda is 0.5389381865016255
the regulation term lambda/alpha is 1.36195381089609
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3045902933800493
the lambda is 0.49799555065755363
the regulation term lambda/alpha is 1.6349685511356233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31505024456914255
the lambda is 0.4868594350914862
the regulation term lambda/alpha is 1.5453390165029297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37711005390885516
the lambda is 0.508343960686599
the regulation term lambda/alpha is 1.3479989605619536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4048753050888434
the lambda is 0.5444019818041985
the regulation term lambda/alpha is 1.344616416367351
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37486403749323294
the lambda is 0.5425533404754268
the regulation term lambda/alpha is 1.4473336629023024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27673508049587425
the lambda is 0.5075141588899613
the regulation term lambda/alpha is 1.833935032669368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3449651835895061
the lambda is 0.480853362202879
the regulation term lambda/alpha is 1.3939185317178966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28911305777821733
the lambda is 0.5109438689219911
the regulation term lambda/alpha is 1.7672804986689437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2920022567933432
the lambda is 0.5424291152629477
the regulation term lambda/alpha is 1.8576195993130198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3092142822940137
the lambda is 0.5196138334346988
the regulation term lambda/alpha is 1.6804328363481882
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2824987797141953
the lambda is 0.4967374079111215
the regulation term lambda/alpha is 1.7583701013281259
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.297690051721145
the lambda is 0.506329171740479
the regulation term lambda/alpha is 1.70086023638698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2775923751248731
the lambda is 0.4716561459591919
the regulation term lambda/alpha is 1.6990961864389125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3120909893426808
the lambda is 0.5194766499282563
the regulation term lambda/alpha is 1.664503839160389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35876022240484173
the lambda is 0.4261067602178014
the regulation term lambda/alpha is 1.187720191947486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211332118557031
the lambda is 0.5029852796562947
the regulation term lambda/alpha is 1.5662823435475257
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977146923134824
the lambda is 0.5935071387571593
the regulation term lambda/alpha is 1.9935433288331588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32740246038563176
the lambda is 0.5560995839508318
the regulation term lambda/alpha is 1.6985198684696157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2535285400117825
the lambda is 0.44774603772804844
the regulation term lambda/alpha is 1.7660577294660391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3415341921938389
the lambda is 0.5313111557443448
the regulation term lambda/alpha is 1.5556602175948386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32233344886261533
the lambda is 0.5054356085565703
the regulation term lambda/alpha is 1.5680519981405858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2691197491543192
the lambda is 0.41668919933419063
the regulation term lambda/alpha is 1.5483412148071374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33394468662231663
the lambda is 0.6019367976393982
the regulation term lambda/alpha is 1.8025044917698427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.290241429142715
the lambda is 0.4944171910308923
the regulation term lambda/alpha is 1.7034687035935927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2897521544564114
the lambda is 0.6029692884281784
the regulation term lambda/alpha is 2.0809829337054526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30398196148348977
the lambda is 0.5190563581392216
the regulation term lambda/alpha is 1.7075235504308475
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29986453782389233
the lambda is 0.46762660274171297
the regulation term lambda/alpha is 1.559459501731231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2766375978562653
the lambda is 0.5142993403771668
the regulation term lambda/alpha is 1.859108611275555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3844449128956116
the lambda is 0.4978430420231472
the regulation term lambda/alpha is 1.294965872414409
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30757697233674325
the lambda is 0.5337103403775822
the regulation term lambda/alpha is 1.7352090318167979
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.303768743196461
the lambda is 0.5545208298473868
the regulation term lambda/alpha is 1.8254703364551008
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3346541546199975
the lambda is 0.5112598289252209
the regulation term lambda/alpha is 1.5277259279979973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3353419398473067
the lambda is 0.5547312924898982
the regulation term lambda/alpha is 1.6542258112495185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.342759590618308
the lambda is 0.5227286767117285
the regulation term lambda/alpha is 1.5250592281568902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34002029029729003
the lambda is 0.4748862592497777
the regulation term lambda/alpha is 1.3966409440876904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32486111137757007
the lambda is 0.44966943780771
the regulation term lambda/alpha is 1.3841898031466173
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2943564195565284
the lambda is 0.4638550783380628
the regulation term lambda/alpha is 1.5758279674582865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2691844314931542
the lambda is 0.5067937622008771
the regulation term lambda/alpha is 1.8827008656842241
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.340189591484806
the lambda is 0.5164910057742019
the regulation term lambda/alpha is 1.5182445868490664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37424730725939165
the lambda is 0.5281073470788773
the regulation term lambda/alpha is 1.4111186288719104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32369266434593347
the lambda is 0.5755913704041109
the regulation term lambda/alpha is 1.7782033200139835
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2948905002163544
the lambda is 0.42831350377616495
the regulation term lambda/alpha is 1.4524493107167615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3293295567084703
the lambda is 0.4441054754605979
the regulation term lambda/alpha is 1.3485138713308074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3556494265174646
the lambda is 0.45685270374377795
the regulation term lambda/alpha is 1.2845590901616246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36971144200687256
the lambda is 0.5517017723733836
the regulation term lambda/alpha is 1.4922496565933385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36548327729836577
the lambda is 0.5009927022877181
the regulation term lambda/alpha is 1.3707677844825932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32815866194925863
the lambda is 0.579874918826436
the regulation term lambda/alpha is 1.7670565676431815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133346835055795
the lambda is 0.538692587299012
the regulation term lambda/alpha is 1.7192242533515112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29077034433483845
the lambda is 0.4843085677483649
the regulation term lambda/alpha is 1.6656050975771322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30602046490125084
the lambda is 0.546031821998683
the regulation term lambda/alpha is 1.7842983872823048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28228199199778753
the lambda is 0.49658371286383013
the regulation term lambda/alpha is 1.7591760258930094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29078686423792577
the lambda is 0.5554740237544774
the regulation term lambda/alpha is 1.910244553894226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29821174716031656
the lambda is 0.4938262303051469
the regulation term lambda/alpha is 1.6559583417070063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30903015273060347
the lambda is 0.5343416399473147
the regulation term lambda/alpha is 1.7290922430249909
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26620837003315173
the lambda is 0.47281689550155975
the regulation term lambda/alpha is 1.7761158127472794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27974735289529207
the lambda is 0.4725691325347074
the regulation term lambda/alpha is 1.689271149999362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30314995143873985
the lambda is 0.4509857766443236
the regulation term lambda/alpha is 1.4876656733869154
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3824490452734603
the lambda is 0.5373721620587469
the regulation term lambda/alpha is 1.4050817192510257
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32397436796072676
the lambda is 0.4492704563578783
the regulation term lambda/alpha is 1.3867469182387304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2767521404508211
the lambda is 0.49559136937238685
the regulation term lambda/alpha is 1.7907408721937366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.327465720453217
the lambda is 0.5430421889916482
the regulation term lambda/alpha is 1.658317665250795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25108721829640324
the lambda is 0.44764849859874295
the regulation term lambda/alpha is 1.78284064651313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3127871639071996
the lambda is 0.4653452564362157
the regulation term lambda/alpha is 1.487737701967458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2996870651351786
the lambda is 0.48504218501336294
the regulation term lambda/alpha is 1.6184955623445976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934120169507598
the lambda is 0.472747418036892
the regulation term lambda/alpha is 1.6112067356676403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3337327943496636
the lambda is 0.46166869582334813
the regulation term lambda/alpha is 1.3833483063089138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35816369981615465
the lambda is 0.5510922553684469
the regulation term lambda/alpha is 1.5386602708519104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2621411219115552
the lambda is 0.4596876378369283
the regulation term lambda/alpha is 1.7535884278088352
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989647320701878
the lambda is 0.5371992654023747
the regulation term lambda/alpha is 1.7968650070612902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2865872286399769
the lambda is 0.47653600633258375
the regulation term lambda/alpha is 1.6627956821175331
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34883314388682873
the lambda is 0.575360842500048
the regulation term lambda/alpha is 1.649386970771078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3609124084424946
the lambda is 0.5279057787455492
the regulation term lambda/alpha is 1.4626977803941652
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2746878810666372
the lambda is 0.45514834411890814
the regulation term lambda/alpha is 1.6569655070020821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4201405761378455
the lambda is 0.4842152734766963
the regulation term lambda/alpha is 1.1525077580648346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26949579659071915
the lambda is 0.476398200784887
the regulation term lambda/alpha is 1.767738891706681
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34317069471875344
the lambda is 0.5426564737396639
the regulation term lambda/alpha is 1.5813019062842752
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3304430081934709
the lambda is 0.5061074894612773
the regulation term lambda/alpha is 1.5316029600025813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32197535324792353
the lambda is 0.5499114911488221
the regulation term lambda/alpha is 1.7079303915706427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29908014776580627
the lambda is 0.5139426553865541
the regulation term lambda/alpha is 1.7184111323530415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2890570216515905
the lambda is 0.5040292540528586
the regulation term lambda/alpha is 1.7437018176309202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2853958877951058
the lambda is 0.5075727619551758
the regulation term lambda/alpha is 1.7784865993569514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3292478095284813
the lambda is 0.506158476481516
the regulation term lambda/alpha is 1.5373176732941367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3814015902160796
the lambda is 0.6034119071209096
the regulation term lambda/alpha is 1.5820906954767864
490
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3623523238239909
the lambda is 0.5504286046310951
the regulation term lambda/alpha is 1.5190425683552686
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31369009922710245
the lambda is 0.49271356451427817
the regulation term lambda/alpha is 1.5707016757247667
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3187282214223104
the lambda is 0.4621928127057354
the regulation term lambda/alpha is 1.4501157463974188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34822669768641756
the lambda is 0.5001762363304094
the regulation term lambda/alpha is 1.436352352227813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3828792401449119
the lambda is 0.5356711235896134
the regulation term lambda/alpha is 1.3990602451751444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298927640212356
the lambda is 0.631909219289138
the regulation term lambda/alpha is 2.1139203415255756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431462140664289
the lambda is 0.48903715844249435
the regulation term lambda/alpha is 1.425156794379852
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336741363370567
the lambda is 0.5727237111790009
the regulation term lambda/alpha is 1.7007821832352301
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28580826645391677
the lambda is 0.4615077907992397
the regulation term lambda/alpha is 1.614746125174278
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.276428631219109
the lambda is 0.47415039651843116
the regulation term lambda/alpha is 1.7152723812556145
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2767740996362041
the lambda is 0.5142359180875187
the regulation term lambda/alpha is 1.857962572232871
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26385619844014474
the lambda is 0.466685848125374
the regulation term lambda/alpha is 1.7687128476962453
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32485211997022756
the lambda is 0.4864322524777427
the regulation term lambda/alpha is 1.4973959613448846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3402494028688789
the lambda is 0.5378431052038036
the regulation term lambda/alpha is 1.5807319591713462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3883385097311063
the lambda is 0.5041304414828166
the regulation term lambda/alpha is 1.298172673711621
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3558939300790028
the lambda is 0.46601115260579434
the regulation term lambda/alpha is 1.3094102293409369
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32070230234543623
the lambda is 0.4682323164376716
the regulation term lambda/alpha is 1.4600216868207176
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30475288672015605
the lambda is 0.45839980516361983
the regulation term lambda/alpha is 1.5041688697260887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31868727200013197
the lambda is 0.4973328004706116
the regulation term lambda/alpha is 1.5605668759510598
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.38917976257293757
the lambda is 0.4812267322106326
the regulation term lambda/alpha is 1.2365153034401273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31407771046063504
the lambda is 0.4910526901063846
the regulation term lambda/alpha is 1.563475132909601
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31360403693630823
the lambda is 0.440188437006386
the regulation term lambda/alpha is 1.4036440388545972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3051087331244697
the lambda is 0.459127023183198
the regulation term lambda/alpha is 1.5047980386582256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891960045895249
the lambda is 0.5301873699183394
the regulation term lambda/alpha is 1.8333149888113758
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043920144263461
the lambda is 0.4708362239481134
the regulation term lambda/alpha is 1.5468087257001346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.338177825521784
the lambda is 0.5626013870176235
the regulation term lambda/alpha is 1.6636258931216739
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33177777065876474
the lambda is 0.5073051331005347
the regulation term lambda/alpha is 1.5290510033063693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3371980474235278
the lambda is 0.5526168125192038
the regulation term lambda/alpha is 1.6388493846321284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.23729372923820616
the lambda is 0.4438445703126634
the regulation term lambda/alpha is 1.870443739653618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2711872505997092
the lambda is 0.5062833314871796
the regulation term lambda/alpha is 1.8669142091583362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29962081221776454
the lambda is 0.4647302539596007
the regulation term lambda/alpha is 1.5510613248783083
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30171240456106313
the lambda is 0.5438740346918957
the regulation term lambda/alpha is 1.8026240435262642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3139568039302837
the lambda is 0.5245097899606397
the regulation term lambda/alpha is 1.67064316936132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29751539085422823
the lambda is 0.507847705266237
the regulation term lambda/alpha is 1.7069628021868086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3663718000647723
the lambda is 0.5658494039528225
the regulation term lambda/alpha is 1.5444676796980108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28766782531856955
the lambda is 0.4996184545163027
the regulation term lambda/alpha is 1.7367894861478321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32343761973867213
the lambda is 0.5074144092001414
the regulation term lambda/alpha is 1.5688169162576602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3108205890220637
the lambda is 0.5702710639102196
the regulation term lambda/alpha is 1.8347274410117624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32607021761537835
the lambda is 0.47442228653467083
the regulation term lambda/alpha is 1.4549696994844334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35829351098829687
the lambda is 0.5235415763696158
the regulation term lambda/alpha is 1.4612086468591292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323280026520522
the lambda is 0.5486869161107607
the regulation term lambda/alpha is 1.697249663136642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222660278336631
the lambda is 0.5851976906656716
the regulation term lambda/alpha is 1.8158838975348657
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26313850636667113
the lambda is 0.4230571924609028
the regulation term lambda/alpha is 1.607735782582092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3633865366278036
the lambda is 0.5087683624018353
the regulation term lambda/alpha is 1.400074882033778
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33054428232405136
the lambda is 0.5261573760094453
the regulation term lambda/alpha is 1.5917908859594896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3480316782751987
the lambda is 0.4981656398269659
the regulation term lambda/alpha is 1.4313801614146513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246572739328589
the lambda is 0.5050851892773756
the regulation term lambda/alpha is 1.5557488768350536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.335540752231572
the lambda is 0.5417622259946081
the regulation term lambda/alpha is 1.6145944192814865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31894380586520304
the lambda is 0.4421964933397259
the regulation term lambda/alpha is 1.386440135246313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3458849137286135
the lambda is 0.559237557898831
the regulation term lambda/alpha is 1.6168313092071347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099886250795765
the lambda is 0.5111657903134394
the regulation term lambda/alpha is 1.6489824108294917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38448550694766964
the lambda is 0.5763689511083895
the regulation term lambda/alpha is 1.4990654802154508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2870512762844831
the lambda is 0.4432823323932114
the regulation term lambda/alpha is 1.5442618410583027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2940653978884285
the lambda is 0.5137511593889265
the regulation term lambda/alpha is 1.7470643029679032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2852594143593819
the lambda is 0.4863596117225244
the regulation term lambda/alpha is 1.7049730429222152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3347026391612365
the lambda is 0.5370798765769509
the regulation term lambda/alpha is 1.6046478686958399
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2848977717585118
the lambda is 0.5151359301634113
the regulation term lambda/alpha is 1.8081430647343095
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3108947063819229
the lambda is 0.5134138534271512
the regulation term lambda/alpha is 1.6514075115722324
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3166631547302483
the lambda is 0.5356319505901863
the regulation term lambda/alpha is 1.6914880768066247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240383819827404
the lambda is 0.5215035182227172
the regulation term lambda/alpha is 1.6093881071486609
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34366367027564304
the lambda is 0.4873480366439291
the regulation term lambda/alpha is 1.4180958850059444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3214050302692781
the lambda is 0.5633238896331285
the regulation term lambda/alpha is 1.7526915778547931
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.328635759942611
the lambda is 0.5568585663045706
the regulation term lambda/alpha is 1.6944551816327404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2770473883102011
the lambda is 0.5066935033462658
the regulation term lambda/alpha is 1.8289055400837684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.254927534235129
the lambda is 0.5069245471124945
the regulation term lambda/alpha is 1.9885044925941167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3618692078660202
the lambda is 0.5287741540592071
the regulation term lambda/alpha is 1.4612300316388964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3356354130331607
the lambda is 0.5623274086538579
the regulation term lambda/alpha is 1.6754114340083062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.295278870918221
the lambda is 0.5347434670520833
the regulation term lambda/alpha is 1.810977756008093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330512387482798
the lambda is 0.5297295079716566
the regulation term lambda/alpha is 1.6027523567455613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3256230701998716
the lambda is 0.47096976296852466
the regulation term lambda/alpha is 1.4463648496386863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141390649228939
the lambda is 0.4922322281970248
the regulation term lambda/alpha is 1.5669245985622458
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30904414399469216
the lambda is 0.5488531384927914
the regulation term lambda/alpha is 1.775970032624912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3625319913779048
the lambda is 0.6288393692540984
the regulation term lambda/alpha is 1.7345762145404535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2633700837892933
the lambda is 0.4341747658544311
the regulation term lambda/alpha is 1.6485348662522676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31039696858377325
the lambda is 0.4676176855001216
the regulation term lambda/alpha is 1.506514988318631
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3329646501364897
the lambda is 0.5121381503565704
the regulation term lambda/alpha is 1.538115683291405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29629179762867813
the lambda is 0.5282421521875595
the regulation term lambda/alpha is 1.78284433256424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517343973080977
the lambda is 0.5316324704200566
the regulation term lambda/alpha is 1.5114599950666163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33928091147050166
the lambda is 0.5088317267044495
the regulation term lambda/alpha is 1.4997357926771817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3076838278745856
the lambda is 0.4873689848770444
the regulation term lambda/alpha is 1.583992854755109
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27364986195963253
the lambda is 0.44495702618844374
the regulation term lambda/alpha is 1.6260085899626056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3576863534024473
the lambda is 0.5415986835039837
the regulation term lambda/alpha is 1.5141720626243997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330983528059687
the lambda is 0.5346119750571252
the regulation term lambda/alpha is 1.6049673333825794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211276792546015
the lambda is 0.5047154665657569
the regulation term lambda/alpha is 1.5716971758314253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28292424903699587
the lambda is 0.4713813080250182
the regulation term lambda/alpha is 1.666104300460224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33610009589609374
the lambda is 0.46839760589646295
the regulation term lambda/alpha is 1.3936253265493543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35375128953834095
the lambda is 0.49026501572265385
the regulation term lambda/alpha is 1.3859031195687472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2998339637412427
the lambda is 0.496599687469985
the regulation term lambda/alpha is 1.6562489494971007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37293310756445053
the lambda is 0.47920208477969994
the regulation term lambda/alpha is 1.2849545268567606
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34356063432785383
the lambda is 0.4860110443651999
the regulation term lambda/alpha is 1.4146296048033493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2999961179430332
the lambda is 0.4987400738944108
the regulation term lambda/alpha is 1.6624884258972892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30470394655870014
the lambda is 0.48748662175982516
the regulation term lambda/alpha is 1.5998697334427618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3042126197881884
the lambda is 0.46298761666180566
the regulation term lambda/alpha is 1.5219211385253058
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3606506224255395
the lambda is 0.523441577617002
the regulation term lambda/alpha is 1.451381323277967
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3281873404312442
the lambda is 0.5218646401720373
the regulation term lambda/alpha is 1.5901425066740769
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29179042822525003
the lambda is 0.4731543260076013
the regulation term lambda/alpha is 1.6215553364291508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33640044343703823
the lambda is 0.48472446852428397
the regulation term lambda/alpha is 1.4409150700629398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3529287349725912
the lambda is 0.48653937387610885
the regulation term lambda/alpha is 1.3785768220711583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3024312799343688
the lambda is 0.49579323749969967
the regulation term lambda/alpha is 1.6393583283028552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3155427558379134
the lambda is 0.5813351282728346
the regulation term lambda/alpha is 1.8423339389589797
500
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2858336628046633
the lambda is 0.47675573532691873
the regulation term lambda/alpha is 1.667948171845421
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32201962227247305
the lambda is 0.42787358279907406
the regulation term lambda/alpha is 1.3287189761282123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3919239594026759
the lambda is 0.5275901244916301
the regulation term lambda/alpha is 1.3461543032370886
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3108996173417314
the lambda is 0.5348071326237928
the regulation term lambda/alpha is 1.7201923154377803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28103145402434454
the lambda is 0.4971302045821366
the regulation term lambda/alpha is 1.7689486264376384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.255130595389283
the lambda is 0.5086697883904399
the regulation term lambda/alpha is 1.9937624008375086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32279795468096
the lambda is 0.5202564269794424
the regulation term lambda/alpha is 1.6117091804179555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32882715916498184
the lambda is 0.4993471171379336
the regulation term lambda/alpha is 1.5185701765205992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046017604865066
the lambda is 0.4468087082698878
the regulation term lambda/alpha is 1.4668618709105614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3198926679697872
the lambda is 0.5310508400058701
the regulation term lambda/alpha is 1.6600906903437564
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34079973824033893
the lambda is 0.5218206533420843
the regulation term lambda/alpha is 1.5311650649628308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2969279704941524
the lambda is 0.49533609553249763
the regulation term lambda/alpha is 1.6682028800053803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3022411106639347
the lambda is 0.5163178975594022
the regulation term lambda/alpha is 1.7082980420009832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3460408335378201
the lambda is 0.5954668609429581
the regulation term lambda/alpha is 1.720799406402647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35144135473115645
the lambda is 0.6150076601720343
the regulation term lambda/alpha is 1.749958142070387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2931261021065149
the lambda is 0.49445169959946317
the regulation term lambda/alpha is 1.6868224837233752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3325314441549202
the lambda is 0.4870427584333035
the regulation term lambda/alpha is 1.4646517404423245
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3663538461161279
the lambda is 0.5351810827107898
the regulation term lambda/alpha is 1.4608310746139854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341009665019666
the lambda is 0.5634469463874349
the regulation term lambda/alpha is 1.6864570979447266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2960872768172269
the lambda is 0.46233341384856735
the regulation term lambda/alpha is 1.561476801091873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30642737604671805
the lambda is 0.4718570192178472
the regulation term lambda/alpha is 1.5398657434116059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004853069789266
the lambda is 0.4867111093758223
the regulation term lambda/alpha is 1.6197501111425587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206919592889935
the lambda is 0.45964374028731986
the regulation term lambda/alpha is 1.4332873867695233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3131402161599168
the lambda is 0.488397076262076
the regulation term lambda/alpha is 1.5596753500759473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4245962995757212
the lambda is 0.5463845282935653
the regulation term lambda/alpha is 1.2868329960471658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26604687511379504
the lambda is 0.49305381667173914
the regulation term lambda/alpha is 1.853259191489648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2899364890503247
the lambda is 0.42794683526998506
the regulation term lambda/alpha is 1.4760019915799756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34188375545432503
the lambda is 0.535485803665208
the regulation term lambda/alpha is 1.5662803368753442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35021792354725295
the lambda is 0.5284016320324268
the regulation term lambda/alpha is 1.508779524132872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26691355121713606
the lambda is 0.47077467435506737
the regulation term lambda/alpha is 1.7637720985252219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33660326651585426
the lambda is 0.5457374752178803
the regulation term lambda/alpha is 1.6213077218969165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30022236129318314
the lambda is 0.5098878516823734
the regulation term lambda/alpha is 1.6983673350848132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32867749279876984
the lambda is 0.46250377004916243
the regulation term lambda/alpha is 1.4071659306842974
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30499362770516586
the lambda is 0.5311865423988559
the regulation term lambda/alpha is 1.7416316084883856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28233830691478196
the lambda is 0.47128780380720725
the regulation term lambda/alpha is 1.669230820844498
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29329325695543307
the lambda is 0.44778270150328997
the regulation term lambda/alpha is 1.526740526364478
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2964003250701398
the lambda is 0.4638880752715395
the regulation term lambda/alpha is 1.5650727615152433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29877304359391976
the lambda is 0.4897153027421865
the regulation term lambda/alpha is 1.6390879741071545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3569043216408927
the lambda is 0.5231834696025681
the regulation term lambda/alpha is 1.4658927838060223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31469599879677485
the lambda is 0.49063328810145385
the regulation term lambda/alpha is 1.5590706268187928
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3258062292647933
the lambda is 0.5164170335875843
the regulation term lambda/alpha is 1.5850434620385216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3572949844611748
the lambda is 0.5371949592242269
the regulation term lambda/alpha is 1.5035054579183458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3458406006009435
the lambda is 0.6025058329724217
the regulation term lambda/alpha is 1.7421489319804804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35256339035547696
the lambda is 0.5179839751640842
the regulation term lambda/alpha is 1.4691938792675543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.342830871902866
the lambda is 0.5086449607889368
the regulation term lambda/alpha is 1.4836614858099793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30268639192067703
the lambda is 0.5168670758795789
the regulation term lambda/alpha is 1.7075993162422405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2749519737351609
the lambda is 0.48565179424102234
the regulation term lambda/alpha is 1.7663149954646684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31542935894179525
the lambda is 0.5230822338954634
the regulation term lambda/alpha is 1.658318159255383
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2810198999608993
the lambda is 0.5130698217350018
the regulation term lambda/alpha is 1.825741955663601
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3428080983411204
the lambda is 0.44668903433196194
the regulation term lambda/alpha is 1.3030294106047402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30396905828513865
the lambda is 0.5914777137625167
the regulation term lambda/alpha is 1.9458484264792506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2722826644154458
the lambda is 0.4718655639735653
the regulation term lambda/alpha is 1.732998922228843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34050732507497417
the lambda is 0.5503773903178163
the regulation term lambda/alpha is 1.6163452289804108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3209551757262699
the lambda is 0.5516473244554118
the regulation term lambda/alpha is 1.7187674983184884
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35989504536179034
the lambda is 0.4727750201900447
the regulation term lambda/alpha is 1.31364692646652
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30182626442298316
the lambda is 0.528042782708975
the regulation term lambda/alpha is 1.7494924893910793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3101576478153089
the lambda is 0.5133113479790279
the regulation term lambda/alpha is 1.6550014213568318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3270491182863613
the lambda is 0.5314122613541783
the regulation term lambda/alpha is 1.6248698792970862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322499385976468
the lambda is 0.47668671400249485
the regulation term lambda/alpha is 1.4781011522213487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3457735301724109
the lambda is 0.5761458052833796
the regulation term lambda/alpha is 1.6662519105962204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30654996765367626
the lambda is 0.5005908438293307
the regulation term lambda/alpha is 1.6329828629924092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3430235151869525
the lambda is 0.5307858793103941
the regulation term lambda/alpha is 1.547374613723227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2948043902441058
the lambda is 0.46444147644103323
the regulation term lambda/alpha is 1.5754225235806816
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3165648396015661
the lambda is 0.5177941620994885
the regulation term lambda/alpha is 1.6356654224492935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38510712139090153
the lambda is 0.5457451258307172
the regulation term lambda/alpha is 1.4171255100649274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367577662014908
the lambda is 0.5193767562302597
the regulation term lambda/alpha is 1.5422859050546833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30217169732189153
the lambda is 0.5059704297247115
the regulation term lambda/alpha is 1.6744467936906786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37338414068928694
the lambda is 0.5331628062718221
the regulation term lambda/alpha is 1.427920332362203
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2733248576006655
the lambda is 0.49446396696079786
the regulation term lambda/alpha is 1.80907061034025
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.288029677757673
the lambda is 0.5216710755664642
the regulation term lambda/alpha is 1.8111712641131372
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25872190895251185
the lambda is 0.49127853384045594
the regulation term lambda/alpha is 1.8988671497883454
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367839667733676
the lambda is 0.5825896914942327
the regulation term lambda/alpha is 1.7298617184061955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2864480408885926
the lambda is 0.46207598775154873
the regulation term lambda/alpha is 1.6131232258322987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28318183977651523
the lambda is 0.5701728426802328
the regulation term lambda/alpha is 2.013451297336752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117045409224246
the lambda is 0.5408312657221186
the regulation term lambda/alpha is 1.7350766341794097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29500059306823095
the lambda is 0.45558038646079624
the regulation term lambda/alpha is 1.5443371883507524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33956367459708675
the lambda is 0.5209124997214377
the regulation term lambda/alpha is 1.5340642674441916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397704413306905
the lambda is 0.52628622969344
the regulation term lambda/alpha is 1.5489464817253424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30945267990839403
the lambda is 0.5332028502061532
the regulation term lambda/alpha is 1.7230513252106752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2720348255055369
the lambda is 0.47054480056543496
the regulation term lambda/alpha is 1.729722654777734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3410331753200256
the lambda is 0.46134123296913
the regulation term lambda/alpha is 1.3527752323104851
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27504052873984536
the lambda is 0.4723587178812851
the regulation term lambda/alpha is 1.7174149571537458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36091129833636754
the lambda is 0.5493245600127937
the regulation term lambda/alpha is 1.5220486655444796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3210437771599117
the lambda is 0.5316062912556321
the regulation term lambda/alpha is 1.655868542160963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2600910593954043
the lambda is 0.47432293110993945
the regulation term lambda/alpha is 1.8236802611075087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31309199381819824
the lambda is 0.4812268623069471
the regulation term lambda/alpha is 1.5370142699540859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33396437709318694
the lambda is 0.4588287640705107
the regulation term lambda/alpha is 1.3738853468868104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30597385562897644
the lambda is 0.4460821540721342
the regulation term lambda/alpha is 1.4579093797250864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3727990941965082
the lambda is 0.5431712625893742
the regulation term lambda/alpha is 1.457007999872071
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28737981094415677
the lambda is 0.5598959856219963
the regulation term lambda/alpha is 1.9482787735941356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2379193003660332
the lambda is 0.4782363131797745
the regulation term lambda/alpha is 2.010077839183367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29217563807750596
the lambda is 0.5169688078958368
the regulation term lambda/alpha is 1.769376842290662
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2948928350250941
the lambda is 0.5121701834443743
the regulation term lambda/alpha is 1.736801042998521
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25194813181940706
the lambda is 0.5416066885983534
the regulation term lambda/alpha is 2.1496753505859276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4272524227166945
the lambda is 0.555824639010491
the regulation term lambda/alpha is 1.3009279981989734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3630931845999044
the lambda is 0.5390925318009493
the regulation term lambda/alpha is 1.4847222549632269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3995291794717457
the lambda is 0.5604017586854975
the regulation term lambda/alpha is 1.4026553940977633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3055144279194644
the lambda is 0.5048686782636136
the regulation term lambda/alpha is 1.6525199209141777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431529039670536
the lambda is 0.5682646586346703
the regulation term lambda/alpha is 1.6560100528516288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3373072411004427
the lambda is 0.5133988714250051
the regulation term lambda/alpha is 1.5220511417130418
510
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37971300258882423
the lambda is 0.5276224434944414
the regulation term lambda/alpha is 1.3895295654802275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3136443276858674
the lambda is 0.4842949188339515
the regulation term lambda/alpha is 1.544089518236084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30201958596989636
the lambda is 0.5182668517211099
the regulation term lambda/alpha is 1.716004112967587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2799306033422941
the lambda is 0.44627577129983975
the regulation term lambda/alpha is 1.5942371643951405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3015261489342206
the lambda is 0.45827258160161344
the regulation term lambda/alpha is 1.5198435798070298
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36319754731861603
the lambda is 0.5134286017062656
the regulation term lambda/alpha is 1.4136345509400121
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3056004784294366
the lambda is 0.5002054586629192
the regulation term lambda/alpha is 1.6367954043580368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38765459495837107
the lambda is 0.49200680287915155
the regulation term lambda/alpha is 1.2691886263646288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3538481423583581
the lambda is 0.5166374761958155
the regulation term lambda/alpha is 1.4600542276482922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32982446453792347
the lambda is 0.5372893552433774
the regulation term lambda/alpha is 1.6290160767670994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3679253092447081
the lambda is 0.4857788772860954
the regulation term lambda/alpha is 1.3203192742660783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3488750330492548
the lambda is 0.5152173326002791
the regulation term lambda/alpha is 1.4767962272827353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3146733667181576
the lambda is 0.5663950512543374
the regulation term lambda/alpha is 1.7999459476392183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38079545514914426
the lambda is 0.5423001131715379
the regulation term lambda/alpha is 1.424124436987143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3310870339867776
the lambda is 0.5315421924197365
the regulation term lambda/alpha is 1.6054455108651715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3353654072871516
the lambda is 0.5437239840288967
the regulation term lambda/alpha is 1.6212882193998654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046035603236376
the lambda is 0.49538942061622954
the regulation term lambda/alpha is 1.6263415309062188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39569889108412926
the lambda is 0.597896103293817
the regulation term lambda/alpha is 1.5109875634367111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33493054950558726
the lambda is 0.5273015568079413
the regulation term lambda/alpha is 1.5743608864175735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24805588795601707
the lambda is 0.48298531761211083
the regulation term lambda/alpha is 1.947082657831324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31538636167517037
the lambda is 0.4833116076003882
the regulation term lambda/alpha is 1.532442953567444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3369375733541371
the lambda is 0.543512080665325
the regulation term lambda/alpha is 1.613094304843433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24771715319655027
the lambda is 0.5243413517322872
the regulation term lambda/alpha is 2.116693757239534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3464838032736425
the lambda is 0.4935145238710528
the regulation term lambda/alpha is 1.4243509197493134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3310315282030378
the lambda is 0.5060462198498701
the regulation term lambda/alpha is 1.5286949330683912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2515917266675653
the lambda is 0.4334299952311631
the regulation term lambda/alpha is 1.7227513836488966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2621898845441342
the lambda is 0.4694056440349939
the regulation term lambda/alpha is 1.7903270557181974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35438588706422
the lambda is 0.49623428239649764
the regulation term lambda/alpha is 1.4002653618838174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28240374835083465
the lambda is 0.4644697661937697
the regulation term lambda/alpha is 1.6447011376660323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787386838453474
the lambda is 0.49030811820736186
the regulation term lambda/alpha is 1.7590242999044925
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3031735282138324
the lambda is 0.43224766396455827
the regulation term lambda/alpha is 1.4257434232836057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3328593095265001
the lambda is 0.48648244571823696
the regulation term lambda/alpha is 1.4615257311272718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3333908358473704
the lambda is 0.4867227760294598
the regulation term lambda/alpha is 1.459916481484471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3070376024847667
the lambda is 0.43722469342861636
the regulation term lambda/alpha is 1.4240102511558295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31163746989420943
the lambda is 0.4589617045703096
the regulation term lambda/alpha is 1.4727423654354268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3287903625748981
the lambda is 0.5303428792899535
the regulation term lambda/alpha is 1.6130122401904101
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3303355956880639
the lambda is 0.5740881391445928
the regulation term lambda/alpha is 1.7378936652249384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971716536713027
the lambda is 0.5530645638601325
the regulation term lambda/alpha is 1.8610946132563142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33723098560731785
the lambda is 0.5460525642115324
the regulation term lambda/alpha is 1.6192241742796813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2913227496129485
the lambda is 0.4807447359388832
the regulation term lambda/alpha is 1.650213505734107
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2831573202065063
the lambda is 0.5506503626913413
the regulation term lambda/alpha is 1.9446799478457861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3164072877154841
the lambda is 0.5140028851989838
the regulation term lambda/alpha is 1.624497617959986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3474423681221417
the lambda is 0.5524645347356824
the regulation term lambda/alpha is 1.5900897110552334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3405232611362343
the lambda is 0.5419210235420838
the regulation term lambda/alpha is 1.5914361378245923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300132512033422
the lambda is 0.5481837594101686
the regulation term lambda/alpha is 1.661096205716896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2982454171425464
the lambda is 0.4942704516574762
the regulation term lambda/alpha is 1.657260843747482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30274013513213943
the lambda is 0.5114850565449484
the regulation term lambda/alpha is 1.6895184918963464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24435661999804467
the lambda is 0.4906533939096988
the regulation term lambda/alpha is 2.0079398459252915
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29359614332712447
the lambda is 0.5312259294844524
the regulation term lambda/alpha is 1.809376388478513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.377820107961519
the lambda is 0.4647480026531103
the regulation term lambda/alpha is 1.2300774703617545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3097133745966934
the lambda is 0.5323389204876657
the regulation term lambda/alpha is 1.718811533989689
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30914176792925957
the lambda is 0.4802476998831359
the regulation term lambda/alpha is 1.5534869425765536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3544666457127039
the lambda is 0.5362693116763014
the regulation term lambda/alpha is 1.51289075618965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2916891861718949
the lambda is 0.4968909947404255
the regulation term lambda/alpha is 1.7034947413086594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3198965636493824
the lambda is 0.5080982469132432
the regulation term lambda/alpha is 1.588320428068544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31508757715615404
the lambda is 0.4625312597166315
the regulation term lambda/alpha is 1.4679450833677457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33588583265912614
the lambda is 0.5499367604253529
the regulation term lambda/alpha is 1.6372728676039647
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2664370730049511
the lambda is 0.43428732592922675
the regulation term lambda/alpha is 1.6299808470015602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2672015519711214
the lambda is 0.49835810576026207
the regulation term lambda/alpha is 1.8651018382337974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3106245725973671
the lambda is 0.4792261195272361
the regulation term lambda/alpha is 1.5427823868538921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919160535591096
the lambda is 0.5877556489580154
the regulation term lambda/alpha is 2.0134406511459697
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3251977081627332
the lambda is 0.45836551551994315
the regulation term lambda/alpha is 1.409497988499264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3082371069257847
the lambda is 0.5339626577720893
the regulation term lambda/alpha is 1.7323114114896403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427896567513211
the lambda is 0.5252631658020408
the regulation term lambda/alpha is 1.5323191801644593
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3200502070949413
the lambda is 0.5171841291610001
the regulation term lambda/alpha is 1.6159468661352248
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27545058183577165
the lambda is 0.5100258247434233
the regulation term lambda/alpha is 1.8516055451554987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3708500909638468
the lambda is 0.554831087317673
the regulation term lambda/alpha is 1.4961061108968747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2806455569961464
the lambda is 0.4812838012390277
the regulation term lambda/alpha is 1.714916873762004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3113569443118608
the lambda is 0.455379570843786
the regulation term lambda/alpha is 1.4625643627452534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2764424658052654
the lambda is 0.4449371158491214
the regulation term lambda/alpha is 1.6095107332841867
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.25955598002033925
the lambda is 0.43845791042158255
the regulation term lambda/alpha is 1.689261447134542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27585411046887987
the lambda is 0.4901348077465136
the regulation term lambda/alpha is 1.7767899376718097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31269750218234493
the lambda is 0.522712943006616
the regulation term lambda/alpha is 1.671624938985933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32268278408478723
the lambda is 0.5477167576694475
the regulation term lambda/alpha is 1.6973845047944391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3439613252887554
the lambda is 0.5008677151099638
the regulation term lambda/alpha is 1.4561745123219465
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3741242522801836
the lambda is 0.586533707020872
the regulation term lambda/alpha is 1.5677510972520805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29903987551939193
the lambda is 0.6413218953802127
the regulation term lambda/alpha is 2.1446032716082533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2826151063832847
the lambda is 0.4349795166837609
the regulation term lambda/alpha is 1.5391233761363006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3744785535463297
the lambda is 0.557128057909114
the regulation term lambda/alpha is 1.4877435640388077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33987724272944847
the lambda is 0.5116210030283129
the regulation term lambda/alpha is 1.505311149754081
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3515588011464714
the lambda is 0.4959704496949815
the regulation term lambda/alpha is 1.4107752332684262
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341042933111305
the lambda is 0.49340423537979133
the regulation term lambda/alpha is 1.4767970518724065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3539739274084078
the lambda is 0.5494054646098309
the regulation term lambda/alpha is 1.5521071527280546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31321002627895317
the lambda is 0.49753774268228673
the regulation term lambda/alpha is 1.5885115447714513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159503481204472
the lambda is 0.4713731754311297
the regulation term lambda/alpha is 1.491921684009134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3404889711916808
the lambda is 0.5122796752064933
the regulation term lambda/alpha is 1.5045411703455782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.345432738048287
the lambda is 0.5489056436060451
the regulation term lambda/alpha is 1.5890377000958005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30771269582298794
the lambda is 0.5443606766167546
the regulation term lambda/alpha is 1.7690549789011587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32194020257096795
the lambda is 0.5149051352576959
the regulation term lambda/alpha is 1.599381286169723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33144638941090393
the lambda is 0.5187015635630816
the regulation term lambda/alpha is 1.5649636868423746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28079898839172923
the lambda is 0.4338147580078762
the regulation term lambda/alpha is 1.5449299176344682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36320636326991906
the lambda is 0.548944599291155
the regulation term lambda/alpha is 1.5113848621732529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36419035992389154
the lambda is 0.5250272879320871
the regulation term lambda/alpha is 1.4416287351532513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.296424953140151
the lambda is 0.48301947139790646
the regulation term lambda/alpha is 1.629483166923308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31307857558985075
the lambda is 0.5446649208947903
the regulation term lambda/alpha is 1.7397067808572433
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33891858951148074
the lambda is 0.4365870450585177
the regulation term lambda/alpha is 1.288176743824577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2990293539303534
the lambda is 0.47962470056670015
the regulation term lambda/alpha is 1.6039385239698207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2641693648297898
the lambda is 0.4431168683325983
the regulation term lambda/alpha is 1.677396879907359
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.273291193280849
the lambda is 0.4995517269401133
the regulation term lambda/alpha is 1.8279100798785952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2833406634991679
the lambda is 0.5262805988270111
the regulation term lambda/alpha is 1.8574128835854744
520
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3233172719936469
the lambda is 0.45991854095046003
the regulation term lambda/alpha is 1.422499138739168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298325097214031
the lambda is 0.5393745665251117
the regulation term lambda/alpha is 1.6352983730460675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33915128566175406
the lambda is 0.451761032280754
the regulation term lambda/alpha is 1.3320339664916059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2938099590374492
the lambda is 0.47280858895981287
the regulation term lambda/alpha is 1.6092326839729363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29481971376868843
the lambda is 0.4751080825622837
the regulation term lambda/alpha is 1.6115207375007734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3111402861137882
the lambda is 0.49089087420538524
the regulation term lambda/alpha is 1.577715571122988
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3256309497711483
the lambda is 0.5359221370737177
the regulation term lambda/alpha is 1.6457960689865656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3166753712972649
the lambda is 0.5113387918592281
the regulation term lambda/alpha is 1.614709693919429
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33736951610476285
the lambda is 0.5108440516219136
the regulation term lambda/alpha is 1.5141974222214019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3168233617568637
the lambda is 0.5162830568109495
the regulation term lambda/alpha is 1.6295611975961388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32339885967225707
the lambda is 0.5727673006226673
the regulation term lambda/alpha is 1.7710863334618074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3139479004440468
the lambda is 0.5592428695071116
the regulation term lambda/alpha is 1.7813238079188312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31155539812474564
the lambda is 0.5699988558935389
the regulation term lambda/alpha is 1.829526496168471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161586420917578
the lambda is 0.5248013296377863
the regulation term lambda/alpha is 1.6599303633315665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31298780206744015
the lambda is 0.5074194385336301
the regulation term lambda/alpha is 1.6212115462068244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33685168550893785
the lambda is 0.4757777525667772
the regulation term lambda/alpha is 1.412425031651365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4238837515215361
the lambda is 0.5658612521178548
the regulation term lambda/alpha is 1.3349444277745692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38081436612796826
the lambda is 0.550007111265374
the regulation term lambda/alpha is 1.4442919180222065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2924289609216176
the lambda is 0.48501831148742874
the regulation term lambda/alpha is 1.6585850798048443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2894980204711013
the lambda is 0.5071770851168538
the regulation term lambda/alpha is 1.751919008950467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31026511676204055
the lambda is 0.5667411720278034
the regulation term lambda/alpha is 1.8266351626711181
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3558525601936418
the lambda is 0.5334302591224849
the regulation term lambda/alpha is 1.4990204337217972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35084517189019643
the lambda is 0.4988655817694205
the regulation term lambda/alpha is 1.421896670493587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32208841447767117
the lambda is 0.4619471810178964
the regulation term lambda/alpha is 1.434224766410904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4122519401412316
the lambda is 0.5587868617033719
the regulation term lambda/alpha is 1.3554499258680008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945042052324655
the lambda is 0.5176128144000525
the regulation term lambda/alpha is 1.7575735938693209
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058228424756761
the lambda is 0.48530580576458826
the regulation term lambda/alpha is 1.586885406714469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37158885962643595
the lambda is 0.4901959302017704
the regulation term lambda/alpha is 1.3191889840146767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3162989350308724
the lambda is 0.4716728592680335
the regulation term lambda/alpha is 1.4912249363786059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32434718899554205
the lambda is 0.5337440839786626
the regulation term lambda/alpha is 1.6455949121421198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3409365056683275
the lambda is 0.5202118358277847
the regulation term lambda/alpha is 1.5258320161639165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.327614880115516
the lambda is 0.47187125456871004
the regulation term lambda/alpha is 1.440323023186034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919102733361171
the lambda is 0.5527060118653682
the regulation term lambda/alpha is 1.8934106208347128
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32021684103966186
the lambda is 0.54442314501428
the regulation term lambda/alpha is 1.7001702447837468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3119564477452905
the lambda is 0.461582580775836
the regulation term lambda/alpha is 1.4796378921224087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31426875625169176
the lambda is 0.5038714712074558
the regulation term lambda/alpha is 1.603313919007319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31824575736510763
the lambda is 0.4838247006101637
the regulation term lambda/alpha is 1.520286412035638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26904754399734415
the lambda is 0.42103388275770187
the regulation term lambda/alpha is 1.5649051335025679
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116256770599625
the lambda is 0.5912230425582006
the regulation term lambda/alpha is 1.8972218468519793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32549349589015686
the lambda is 0.4565359716974769
the regulation term lambda/alpha is 1.4025962959688216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3464691185200083
the lambda is 0.5228334900837226
the regulation term lambda/alpha is 1.5090334524389348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3650224907202472
the lambda is 0.5400846806910813
the regulation term lambda/alpha is 1.4795928865243582
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2984349122709761
the lambda is 0.4675400869847113
the regulation term lambda/alpha is 1.5666400536951561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3896602804929337
the lambda is 0.5023760021301406
the regulation term lambda/alpha is 1.2892666439972214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30489803499286716
the lambda is 0.5197889890287833
the regulation term lambda/alpha is 1.7047961264851819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321870237227152
the lambda is 0.5708360275227986
the regulation term lambda/alpha is 1.7734973958463425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2586014975933742
the lambda is 0.44883429641279815
the regulation term lambda/alpha is 1.7356214120559603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31275292699947066
the lambda is 0.5665399695913761
the regulation term lambda/alpha is 1.8114617664068575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32596971855488854
the lambda is 0.46975254333695543
the regulation term lambda/alpha is 1.4410925819106597
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2910692779404245
the lambda is 0.4812833478791403
the regulation term lambda/alpha is 1.653501019704486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3751092189055527
the lambda is 0.5549621344679085
the regulation term lambda/alpha is 1.4794681295413332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27719810878427675
the lambda is 0.4924580814690481
the regulation term lambda/alpha is 1.7765564261201099
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217666207246745
the lambda is 0.5993115892158217
the regulation term lambda/alpha is 1.862566066878123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35015437623930173
the lambda is 0.5499534422329209
the regulation term lambda/alpha is 1.5706027956568303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37290137790295064
the lambda is 0.5548758370888552
the regulation term lambda/alpha is 1.4879962101756146
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.27671674049638617
the lambda is 0.4906837775935754
the regulation term lambda/alpha is 1.7732348852959388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3085310951495928
the lambda is 0.5448585507812285
the regulation term lambda/alpha is 1.7659761344867075
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28967141681720854
the lambda is 0.4739955633897591
the regulation term lambda/alpha is 1.6363214865927374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2756441051590933
the lambda is 0.4795566338280174
the regulation term lambda/alpha is 1.7397674205702023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29182409199937515
the lambda is 0.4865705201583353
the regulation term lambda/alpha is 1.6673418456464422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41989839074757146
the lambda is 0.549359194202603
the regulation term lambda/alpha is 1.30831459778768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24480352170213132
the lambda is 0.5471566148007266
the regulation term lambda/alpha is 2.2350847365116273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3980596998158206
the lambda is 0.5028106407897956
the regulation term lambda/alpha is 1.2631538460749545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3541610858150305
the lambda is 0.5674351897109292
the regulation term lambda/alpha is 1.602195194328285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215211245430764
the lambda is 0.5006005753395361
the regulation term lambda/alpha is 1.556975691880137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3338753854034486
the lambda is 0.5033071944122335
the regulation term lambda/alpha is 1.5074702012070964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235329228991852
the lambda is 0.5150201925933319
the regulation term lambda/alpha is 1.5918633194366287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30209390676825704
the lambda is 0.5497986815317552
the regulation term lambda/alpha is 1.819959519916825
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34706724512983844
the lambda is 0.4645321476820422
the regulation term lambda/alpha is 1.3384499810930297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32534375983846414
the lambda is 0.5388799236777435
the regulation term lambda/alpha is 1.6563401245049294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3513627750536273
the lambda is 0.5602091269673745
the regulation term lambda/alpha is 1.594389522002926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30418302855152723
the lambda is 0.5194989740324718
the regulation term lambda/alpha is 1.7078499629195159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32646431470595877
the lambda is 0.5478021230397535
the regulation term lambda/alpha is 1.6779846934668807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31850563074607136
the lambda is 0.533385443581919
the regulation term lambda/alpha is 1.6746499656301541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35088951062440354
the lambda is 0.5635770178193303
the regulation term lambda/alpha is 1.606138116857503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30482853134837884
the lambda is 0.5547149673119686
the regulation term lambda/alpha is 1.8197606531719384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421037036646722
the lambda is 0.4991722638466014
the regulation term lambda/alpha is 1.4591255765412199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36712249500265287
the lambda is 0.5008424736403205
the regulation term lambda/alpha is 1.3642380416833388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2863461193708728
the lambda is 0.4747979971583733
the regulation term lambda/alpha is 1.6581261803077534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32882489172098245
the lambda is 0.5463055474858857
the regulation term lambda/alpha is 1.6613874473634493
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28675590837073117
the lambda is 0.5226566902927803
the regulation term lambda/alpha is 1.8226536055085072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.320960292290688
the lambda is 0.4299425242581129
the regulation term lambda/alpha is 1.339550513210281
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2986482366748137
the lambda is 0.5149001074231649
the regulation term lambda/alpha is 1.7241022855387536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29726021776196765
the lambda is 0.496466922774584
the regulation term lambda/alpha is 1.6701424984224829
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3712741599266933
the lambda is 0.5435316207055298
the regulation term lambda/alpha is 1.4639629669160066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3328759834219053
the lambda is 0.5001527402113163
the regulation term lambda/alpha is 1.5025197524610698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37676459246504723
the lambda is 0.5239063800989296
the regulation term lambda/alpha is 1.3905403813855806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043686370358299
the lambda is 0.4493996741830682
the regulation term lambda/alpha is 1.4764979682521147
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3271050584291324
the lambda is 0.48748132636836156
the regulation term lambda/alpha is 1.4902897824613581
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3209474382714336
the lambda is 0.513171159688141
the regulation term lambda/alpha is 1.598925862913848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.364458421357735
the lambda is 0.4889578663902533
the regulation term lambda/alpha is 1.341601230035279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37988563062879066
the lambda is 0.6030529873199241
the regulation term lambda/alpha is 1.5874593264339703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.301066173675119
the lambda is 0.5261267649975251
the regulation term lambda/alpha is 1.747545260814552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105033662035905
the lambda is 0.5006996460613107
the regulation term lambda/alpha is 1.6125417646294131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28228686592307417
the lambda is 0.5474129967943021
the regulation term lambda/alpha is 1.9392081703988215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29225486948386864
the lambda is 0.49977677275356586
the regulation term lambda/alpha is 1.7100716701014682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3437738400192797
the lambda is 0.5390084260812238
the regulation term lambda/alpha is 1.5679157729133633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29858904876874265
the lambda is 0.5146193594992666
the regulation term lambda/alpha is 1.7235037976822771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308059285713287
the lambda is 0.5190071567653917
the regulation term lambda/alpha is 1.68476387771812
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2998694261317043
the lambda is 0.44033172077761246
the regulation term lambda/alpha is 1.4684115231681416
530
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481670115667614
the lambda is 0.6037418040186405
the regulation term lambda/alpha is 1.7340580352566584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29725580737764
the lambda is 0.5150004596419189
the regulation term lambda/alpha is 1.7325160580888215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3147909704369711
the lambda is 0.5009277854237547
the regulation term lambda/alpha is 1.5913029040458224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37504793710450923
the lambda is 0.521695105971275
the regulation term lambda/alpha is 1.3910091333895318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3274534007017489
the lambda is 0.5332898814008996
the regulation term lambda/alpha is 1.6285977798918347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3504092159652092
the lambda is 0.5986990175177457
the regulation term lambda/alpha is 1.7085709799858353
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.31566881610017955
the lambda is 0.49028132721646756
the regulation term lambda/alpha is 1.5531509677562625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3667389475197487
the lambda is 0.5701501239478758
the regulation term lambda/alpha is 1.554648416274831
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971348076050189
the lambda is 0.49232226013869007
the regulation term lambda/alpha is 1.656898645119806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3226164800079227
the lambda is 0.5208184115504736
the regulation term lambda/alpha is 1.6143577399941984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2659069032172523
the lambda is 0.512130982632988
the regulation term lambda/alpha is 1.9259785151744055
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32259976323281025
the lambda is 0.465457100590257
the regulation term lambda/alpha is 1.4428315009467352
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282578739541178
the lambda is 0.5456364105789664
the regulation term lambda/alpha is 1.6622188037909262
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27180308475429565
the lambda is 0.5157431978845908
the regulation term lambda/alpha is 1.897488390725263
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3371351686728526
the lambda is 0.4686945975249523
the regulation term lambda/alpha is 1.3902275439551122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32260905824819064
the lambda is 0.5586143643717123
the regulation term lambda/alpha is 1.731552013465032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334937423521033
the lambda is 0.5162450089478847
the regulation term lambda/alpha is 1.5479900921284224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3017926821810488
the lambda is 0.5940189320284525
the regulation term lambda/alpha is 1.9683013111368082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3203412103646762
the lambda is 0.5298691010007506
the regulation term lambda/alpha is 1.6540772272089124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3649499913150422
the lambda is 0.5146982569453148
the regulation term lambda/alpha is 1.4103254396326395
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32678416665299986
the lambda is 0.5034999635311469
the regulation term lambda/alpha is 1.5407722127057493
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2842942599101861
the lambda is 0.5032886628933645
the regulation term lambda/alpha is 1.7703089153202138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2812133359517316
the lambda is 0.493941838801072
the regulation term lambda/alpha is 1.756466623922323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2824200912410997
the lambda is 0.4297998033545305
the regulation term lambda/alpha is 1.521845706747591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33686247539693487
the lambda is 0.4834591800020787
the regulation term lambda/alpha is 1.435182649632924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34531784021585277
the lambda is 0.45665195654345475
the regulation term lambda/alpha is 1.322410554456175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35146602657247467
the lambda is 0.48996586222339616
the regulation term lambda/alpha is 1.3940632242654665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308379304441105
the lambda is 0.5046304289465839
the regulation term lambda/alpha is 1.6363952498730647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.372056396987563
the lambda is 0.5083487497177974
the regulation term lambda/alpha is 1.366321756147067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33632663008703184
the lambda is 0.5150771422015357
the regulation term lambda/alpha is 1.53147891401953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456478786598803
the lambda is 0.45252474724589187
the regulation term lambda/alpha is 1.3092073615506812
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3318882035874517
the lambda is 0.46386914153998066
the regulation term lambda/alpha is 1.3976668544585746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3007906602318768
the lambda is 0.5305363399592105
the regulation term lambda/alpha is 1.763805895935149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3244220949585983
the lambda is 0.4551782052417944
the regulation term lambda/alpha is 1.4030431721978824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31503373446349753
the lambda is 0.5455305896664181
the regulation term lambda/alpha is 1.7316576924546088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295032547955488
the lambda is 0.49372839125004886
the regulation term lambda/alpha is 1.498402167700586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3779393361003398
the lambda is 0.5072619102877176
the regulation term lambda/alpha is 1.3421781271083244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3557050685940789
the lambda is 0.579246232147376
the regulation term lambda/alpha is 1.6284452578560142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30174144095652494
the lambda is 0.49634318829256996
the regulation term lambda/alpha is 1.6449288063288705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3048162001000327
the lambda is 0.5250708505796007
the regulation term lambda/alpha is 1.7225818391781218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37324310843528596
the lambda is 0.5534872419699789
the regulation term lambda/alpha is 1.4829134938092077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24392144748630107
the lambda is 0.4890728135826463
the regulation term lambda/alpha is 2.0050422733331525
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3849123460632219
the lambda is 0.5217693753298357
the regulation term lambda/alpha is 1.3555537531241855
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29610384804960493
the lambda is 0.5197334006407062
the regulation term lambda/alpha is 1.7552402782473722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.299850156368917
the lambda is 0.5495414806296647
the regulation term lambda/alpha is 1.8327203403340668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2958272357701326
the lambda is 0.5269035931448386
the regulation term lambda/alpha is 1.7811192798835462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072891475962424
the lambda is 0.49270257656654337
the regulation term lambda/alpha is 1.6033842406108074
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2936356767110562
the lambda is 0.48958981843494176
the regulation term lambda/alpha is 1.6673376475185901
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27885061100486735
the lambda is 0.46211799653154895
the regulation term lambda/alpha is 1.657224256623496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3548178310708076
the lambda is 0.5265522345456745
the regulation term lambda/alpha is 1.4840072522753105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3455292859283665
the lambda is 0.4476532075263637
the regulation term lambda/alpha is 1.2955579331679834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159501401012137
the lambda is 0.45254191818823875
the regulation term lambda/alpha is 1.432320675797986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32580748135929716
the lambda is 0.47551646104579093
the regulation term lambda/alpha is 1.4595013566351973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31413863343563736
the lambda is 0.5071396613605074
the regulation term lambda/alpha is 1.614381700888163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3428719901792653
the lambda is 0.5458795265704586
the regulation term lambda/alpha is 1.5920796746478298
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2913975593071135
the lambda is 0.4830008314853878
the regulation term lambda/alpha is 1.657532179177717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29010466253226663
the lambda is 0.49291507662864653
the regulation term lambda/alpha is 1.6990939488048473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33563904313855086
the lambda is 0.47241916722582905
the regulation term lambda/alpha is 1.4075214933526543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38134124400361236
the lambda is 0.506400859672775
the regulation term lambda/alpha is 1.3279467344161127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3088120811769942
the lambda is 0.5465830699330564
the regulation term lambda/alpha is 1.7699536489953087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29246175895884274
the lambda is 0.4542687561105855
the regulation term lambda/alpha is 1.5532586473109236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35812624510707336
the lambda is 0.5848156440715044
the regulation term lambda/alpha is 1.632987394980379
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36520026104811626
the lambda is 0.5159306914884401
the regulation term lambda/alpha is 1.4127336327956912
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909996987128449
the lambda is 0.44779847588168187
the regulation term lambda/alpha is 1.5388279708274342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3576915717790076
the lambda is 0.5451841083979946
the regulation term lambda/alpha is 1.5241737614517386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3353252658220422
the lambda is 0.5369159187904676
the regulation term lambda/alpha is 1.6011794323765929
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2880730896518756
the lambda is 0.4754455198241728
the regulation term lambda/alpha is 1.6504336465399425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3547681594896797
the lambda is 0.6167157281114024
the regulation term lambda/alpha is 1.7383626788788604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34312610119013914
the lambda is 0.591588376756242
the regulation term lambda/alpha is 1.7241135976083046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933573363245797
the lambda is 0.4785687699373182
the regulation term lambda/alpha is 1.6313509521637282
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2856797128744078
the lambda is 0.4297432884043656
the regulation term lambda/alpha is 1.504283535153551
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35551171308812246
the lambda is 0.527298624356867
the regulation term lambda/alpha is 1.4832102711230863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2920526194358854
the lambda is 0.543504542098365
the regulation term lambda/alpha is 1.860981569513644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35410588801910997
the lambda is 0.5576603907942992
the regulation term lambda/alpha is 1.574840774079995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3466601521679992
the lambda is 0.5154094432117101
the regulation term lambda/alpha is 1.4867859486830526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3207939246443709
the lambda is 0.5353133670117154
the regulation term lambda/alpha is 1.668714167842046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3143184887984709
the lambda is 0.5801118388991966
the regulation term lambda/alpha is 1.845617930770666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.397201268001195
the lambda is 0.5061736553297107
the regulation term lambda/alpha is 1.2743505524966952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29447646223610136
the lambda is 0.4866644046059466
the regulation term lambda/alpha is 1.6526427983767185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34032272706429717
the lambda is 0.4611537468767229
the regulation term lambda/alpha is 1.3550483414808707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2951460570054091
the lambda is 0.5373480895763424
the regulation term lambda/alpha is 1.8206175445077843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388081999134406
the lambda is 0.519363192111343
the regulation term lambda/alpha is 1.5329121085145843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3989639917478395
the lambda is 0.5304436094340828
the regulation term lambda/alpha is 1.3295525922282816
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32003516807595844
the lambda is 0.5116981206237504
the regulation term lambda/alpha is 1.598880909557733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2805508096183173
the lambda is 0.5175124478900683
the regulation term lambda/alpha is 1.8446300283151267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3255620226540558
the lambda is 0.509530459024598
the regulation term lambda/alpha is 1.5650795349862665
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.26509567829237446
the lambda is 0.5061331933895407
the regulation term lambda/alpha is 1.9092472448054227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3639637425602955
the lambda is 0.5695437488491429
the regulation term lambda/alpha is 1.5648364994894797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3661311708396509
the lambda is 0.5209697619473705
the regulation term lambda/alpha is 1.4229046949283977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2962986423959538
the lambda is 0.42911999578630633
the regulation term lambda/alpha is 1.4482685182636068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367432067110029
the lambda is 0.5255203389907656
the regulation term lambda/alpha is 1.5605967054942655
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3103172388990188
the lambda is 0.46618337833947804
the regulation term lambda/alpha is 1.5022799893214442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28353735302061545
the lambda is 0.47759377021609756
the regulation term lambda/alpha is 1.6844121775425218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129728301797838
the lambda is 0.5083251620912831
the regulation term lambda/alpha is 1.6241830378671571
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.313981468512477
the lambda is 0.5007823193882056
the regulation term lambda/alpha is 1.5949422803859061
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2999903336442093
the lambda is 0.44576491369636784
the regulation term lambda/alpha is 1.4859309241112024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28939778256086673
the lambda is 0.4840397746074122
the regulation term lambda/alpha is 1.6725759621382308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3213596749588116
the lambda is 0.5120267615310706
the regulation term lambda/alpha is 1.5933136651220992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34973162711019584
the lambda is 0.49590277770215063
the regulation term lambda/alpha is 1.4179523361949138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3179902928804508
the lambda is 0.5046989350612892
the regulation term lambda/alpha is 1.5871520180367014
540
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28595922140957075
the lambda is 0.4701468577605459
the regulation term lambda/alpha is 1.6441045525409679
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32623357564772465
the lambda is 0.5138799284935595
the regulation term lambda/alpha is 1.5751901914855635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35403050922778534
the lambda is 0.5152462668946282
the regulation term lambda/alpha is 1.4553724988800771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25694688526844883
the lambda is 0.5435564552876929
the regulation term lambda/alpha is 2.1154428656327346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2773911816819
the lambda is 0.48166147592463043
the regulation term lambda/alpha is 1.7363979381182297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2636505715930414
the lambda is 0.48736878712905884
the regulation term lambda/alpha is 1.848540605029821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2715192815595552
the lambda is 0.5363963323588643
the regulation term lambda/alpha is 1.9755367989997088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29376614354551894
the lambda is 0.458444825142808
the regulation term lambda/alpha is 1.5605774702617226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3243256933941232
the lambda is 0.4874913870691607
the regulation term lambda/alpha is 1.503092098462755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.335363864613685
the lambda is 0.5058950820279776
the regulation term lambda/alpha is 1.5084961005286968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30109074827307175
the lambda is 0.4810142975350037
the regulation term lambda/alpha is 1.5975724936548092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31716076007894395
the lambda is 0.5463617337543106
the regulation term lambda/alpha is 1.7226649779068401
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3223955368244489
the lambda is 0.5074449382183691
the regulation term lambda/alpha is 1.5739825160628185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.316618644249916
the lambda is 0.5439707261059289
the regulation term lambda/alpha is 1.7180628367436175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34075898026514606
the lambda is 0.5332188724709477
the regulation term lambda/alpha is 1.564797711438295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973167747485788
the lambda is 0.5616197588084415
the regulation term lambda/alpha is 1.888960887872426
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.37797260522126597
the lambda is 0.48866842192577353
the regulation term lambda/alpha is 1.2928673008979208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29783715371717384
the lambda is 0.4650524502741874
the regulation term lambda/alpha is 1.5614319586058132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.271455879443178
the lambda is 0.4903640442347515
the regulation term lambda/alpha is 1.8064226320704762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30357968491636833
the lambda is 0.5066031877711298
the regulation term lambda/alpha is 1.6687651148682474
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.294998276149187
the lambda is 0.4705003072381174
the regulation term lambda/alpha is 1.5949256157692775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38050010517856
the lambda is 0.5802443093294644
the regulation term lambda/alpha is 1.524951771188523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35686255853978216
the lambda is 0.5606883799893965
the regulation term lambda/alpha is 1.571160567484673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33630629094587633
the lambda is 0.5005359831114943
the regulation term lambda/alpha is 1.488333690409759
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161946906314618
the lambda is 0.5100987721007547
the regulation term lambda/alpha is 1.6132426862767795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3356303849258256
the lambda is 0.5218853794322459
the regulation term lambda/alpha is 1.5549408005701948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129713217673407
the lambda is 0.49675912659579274
the regulation term lambda/alpha is 1.5872352897722615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3357035667532471
the lambda is 0.49400088957534477
the regulation term lambda/alpha is 1.4715389960049228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33419772825908245
the lambda is 0.5159127883320997
the regulation term lambda/alpha is 1.5437351744418355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3276421114634447
the lambda is 0.5323511459273211
the regulation term lambda/alpha is 1.6247946381175609
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3339867117574583
the lambda is 0.552361009054582
the regulation term lambda/alpha is 1.6538412745465976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453879228685077
the lambda is 0.5883598102180144
the regulation term lambda/alpha is 1.7034753425411702
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32991055571629907
the lambda is 0.5373511851675518
the regulation term lambda/alpha is 1.6287783941949336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2792446996247758
the lambda is 0.48628132216911474
the regulation term lambda/alpha is 1.741416481038087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27121935773815736
the lambda is 0.4598040990340573
the regulation term lambda/alpha is 1.695321834210539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3545571619603687
the lambda is 0.5129634172858365
the regulation term lambda/alpha is 1.4467721211711808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933735030898228
the lambda is 0.55048387047243
the regulation term lambda/alpha is 1.8763926008133296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3075777004889801
the lambda is 0.480831644636495
the regulation term lambda/alpha is 1.5632851272120174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3037509982525141
the lambda is 0.5316695544982082
the regulation term lambda/alpha is 1.7503466904040295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33211763870582023
the lambda is 0.531345156954395
the regulation term lambda/alpha is 1.5998703321657797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40246458643993793
the lambda is 0.5520221054423342
the regulation term lambda/alpha is 1.3716041710037898
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32514650877315104
the lambda is 0.566160912286793
the regulation term lambda/alpha is 1.7412486279586457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.314336603250066
the lambda is 0.5065069859910738
the regulation term lambda/alpha is 1.6113522280067694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33463868595678953
the lambda is 0.49936841685005456
the regulation term lambda/alpha is 1.4922614682826476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31457526796350055
the lambda is 0.5422255093263555
the regulation term lambda/alpha is 1.7236749501530066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33621287109688164
the lambda is 0.4985917757585002
the regulation term lambda/alpha is 1.4829645698329859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875016200193151
the lambda is 0.561819270518016
the regulation term lambda/alpha is 1.9541429731083653
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28672944556243884
the lambda is 0.5382468773881839
the regulation term lambda/alpha is 1.877194287919669
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.353665557681856
the lambda is 0.5294211365969845
the regulation term lambda/alpha is 1.4969541848155639
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3209142864242398
the lambda is 0.5504665411878382
the regulation term lambda/alpha is 1.7153070600918547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171614715507492
the lambda is 0.5515422542072964
the regulation term lambda/alpha is 1.738995129233545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31265385051706407
the lambda is 0.5090643802117647
the regulation term lambda/alpha is 1.628204416385337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29784893420148517
the lambda is 0.5030086002685613
the regulation term lambda/alpha is 1.6888044324116744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3566012033922848
the lambda is 0.527232888601453
the regulation term lambda/alpha is 1.4784944178145751
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3262751851512196
the lambda is 0.5033535339683163
the regulation term lambda/alpha is 1.54272698898332
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2989514284300908
the lambda is 0.531182051179727
the regulation term lambda/alpha is 1.7768172373992952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38857733449878384
the lambda is 0.48101827771841243
the regulation term lambda/alpha is 1.2378958704291536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3445414819965657
the lambda is 0.47913378685108965
the regulation term lambda/alpha is 1.3906418004432497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32647585147601227
the lambda is 0.5571855184057439
the regulation term lambda/alpha is 1.706666866436469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3074501065354138
the lambda is 0.5113694242581321
the regulation term lambda/alpha is 1.6632598700993775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052580961701589
the lambda is 0.5435761625683321
the regulation term lambda/alpha is 1.7807100594158471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3732470578619271
the lambda is 0.5278441412938422
the regulation term lambda/alpha is 1.4141950490313153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34519885638019876
the lambda is 0.5481751624681374
the regulation term lambda/alpha is 1.587998199693867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3563364590273402
the lambda is 0.5644588788038413
the regulation term lambda/alpha is 1.584061536516904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30701146580035765
the lambda is 0.5260633613362835
the regulation term lambda/alpha is 1.7134974420739393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34713622581465914
the lambda is 0.4956170797419261
the regulation term lambda/alpha is 1.4277307952484999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3504912353094198
the lambda is 0.5193561722324647
the regulation term lambda/alpha is 1.4817950348286684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3205128404450477
the lambda is 0.5362274817853453
the regulation term lambda/alpha is 1.673029639126992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3093169679415432
the lambda is 0.5247790242171795
the regulation term lambda/alpha is 1.696573672338453
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29031934429405054
the lambda is 0.4772380283194485
the regulation term lambda/alpha is 1.6438381998964458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32395417338952065
the lambda is 0.4759281327052031
the regulation term lambda/alpha is 1.469121782644701
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977000669911886
the lambda is 0.5318563495595405
the regulation term lambda/alpha is 1.7865509905151702
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2524922996858045
the lambda is 0.4308309687582331
the regulation term lambda/alpha is 1.7063132986405887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3708237622678622
the lambda is 0.53185760722647
the regulation term lambda/alpha is 1.4342597787524902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26914912291621695
the lambda is 0.49062160020192785
the regulation term lambda/alpha is 1.822861597638023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3061783142732016
the lambda is 0.5483291324065603
the regulation term lambda/alpha is 1.7908816753014345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31019358267261854
the lambda is 0.5036130769947771
the regulation term lambda/alpha is 1.6235444739238705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33980567530379724
the lambda is 0.46142693766322107
the regulation term lambda/alpha is 1.357914158586935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3467326794293206
the lambda is 0.5445974542909939
the regulation term lambda/alpha is 1.5706551086771932
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29756605619515236
the lambda is 0.547416449230712
the regulation term lambda/alpha is 1.8396468207102914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39142376620940506
the lambda is 0.4948693372431175
the regulation term lambda/alpha is 1.2642802506232358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33024614784545203
the lambda is 0.5534043900295175
the regulation term lambda/alpha is 1.6757330665019554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38765239131958146
the lambda is 0.6168142640813168
the regulation term lambda/alpha is 1.5911529965845452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215627003291455
the lambda is 0.4685360475975246
the regulation term lambda/alpha is 1.4570596873267325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36843783149063175
the lambda is 0.4645856609116804
the regulation term lambda/alpha is 1.2609607950194806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30160422395096476
the lambda is 0.5131756079427241
the regulation term lambda/alpha is 1.7014868068497506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30445913736881997
the lambda is 0.579798935222426
the regulation term lambda/alpha is 1.9043571502998153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30513724430102435
the lambda is 0.43469012931884643
the regulation term lambda/alpha is 1.424572507740207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3403848362463357
the lambda is 0.5567441671659541
the regulation term lambda/alpha is 1.6356315202097889
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29949256923074286
the lambda is 0.47618538096481616
the regulation term lambda/alpha is 1.589973942218049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3992359590788481
the lambda is 0.5887813838286304
the regulation term lambda/alpha is 1.4747704219507631
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37813724218127975
the lambda is 0.5038291209725804
the regulation term lambda/alpha is 1.3323975127819958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046060881622119
the lambda is 0.5060005583535261
the regulation term lambda/alpha is 1.6611636405772217
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3605252471955759
the lambda is 0.44464818049069166
the regulation term lambda/alpha is 1.2333343751914305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29460875504073974
the lambda is 0.5256580331201711
the regulation term lambda/alpha is 1.784258017204821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3060936647080218
the lambda is 0.4733597959854547
the regulation term lambda/alpha is 1.546454077829365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30793431433020746
the lambda is 0.4411903172345965
the regulation term lambda/alpha is 1.4327416487968747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30692464399322733
the lambda is 0.4275047420686744
the regulation term lambda/alpha is 1.3928654815939374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35288012227601917
the lambda is 0.609545778350752
the regulation term lambda/alpha is 1.7273451800551451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31860569897813257
the lambda is 0.550198578312391
the regulation term lambda/alpha is 1.7268949679087624
550
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32810511237109613
the lambda is 0.4648235003434214
the regulation term lambda/alpha is 1.416690818940038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29552304027970705
the lambda is 0.5132942324710932
the regulation term lambda/alpha is 1.7369008926859637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282505385716222
the lambda is 0.5421384577882734
the regulation term lambda/alpha is 1.6515995987314496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31498802514693425
the lambda is 0.474804659809601
the regulation term lambda/alpha is 1.507373683771363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30391138901714154
the lambda is 0.4721590210010549
the regulation term lambda/alpha is 1.553607525298842
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33193597265957875
the lambda is 0.47840497595670856
the regulation term lambda/alpha is 1.4412567945666528
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31280275605253577
the lambda is 0.5229060173007503
the regulation term lambda/alpha is 1.6716796996920553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36972100775179445
the lambda is 0.5841954198776883
the regulation term lambda/alpha is 1.5800979863981042
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27838482321187813
the lambda is 0.5014146245444556
the regulation term lambda/alpha is 1.8011564666469981
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2894555344523288
the lambda is 0.526783037398455
the regulation term lambda/alpha is 1.8199100542166773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24436071462370754
the lambda is 0.4289344190758295
the regulation term lambda/alpha is 1.7553329705077516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2979143991527404
the lambda is 0.5186996272019923
the regulation term lambda/alpha is 1.7411029096853272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29648909818369557
the lambda is 0.4816426474964998
the regulation term lambda/alpha is 1.6244868713455656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37965055211991217
the lambda is 0.4953860946750605
the regulation term lambda/alpha is 1.3048475549657397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3299755540852583
the lambda is 0.5121906408678766
the regulation term lambda/alpha is 1.552207836388807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37994334048110806
the lambda is 0.5197988091689582
the regulation term lambda/alpha is 1.3680955915973059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.338592650999434
the lambda is 0.4845751475120689
the regulation term lambda/alpha is 1.4311449054837253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33404817621651733
the lambda is 0.5201301501448999
the regulation term lambda/alpha is 1.5570513092930982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2925005574537684
the lambda is 0.4885717053312621
the regulation term lambda/alpha is 1.6703274331656068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38072367869731094
the lambda is 0.5082415262814804
the regulation term lambda/alpha is 1.3349354261875337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933387453818051
the lambda is 0.5148959830337622
the regulation term lambda/alpha is 1.7552948294081698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3432049829937677
the lambda is 0.5796030281063818
the regulation term lambda/alpha is 1.688795491984179
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2644831830498967
the lambda is 0.47306429971849256
the regulation term lambda/alpha is 1.788636594067478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177374049904203
the lambda is 0.5439691386820862
the regulation term lambda/alpha is 1.712008501795647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2869515428257314
the lambda is 0.45480194628946236
the regulation term lambda/alpha is 1.5849433734031821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190773571210577
the lambda is 0.49793465281112376
the regulation term lambda/alpha is 1.5605452461554885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34898428814397603
the lambda is 0.5384708961689564
the regulation term lambda/alpha is 1.5429660144092396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3165625429517678
the lambda is 0.5472891570425965
the regulation term lambda/alpha is 1.728850014721997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31525502547095
the lambda is 0.45494350684728624
the regulation term lambda/alpha is 1.4430967632241858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4100561074807617
the lambda is 0.5092537659635298
the regulation term lambda/alpha is 1.2419124033835347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2985564570414382
the lambda is 0.53818559993862
the regulation term lambda/alpha is 1.8026258928438532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3122237199270421
the lambda is 0.48725375852395825
the regulation term lambda/alpha is 1.5605917405564693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3464842016647674
the lambda is 0.5252500233133478
the regulation term lambda/alpha is 1.515942201086389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3108003466110722
the lambda is 0.51728432637164
the regulation term lambda/alpha is 1.6643621283310752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28389097300495814
the lambda is 0.42706420462607103
the regulation term lambda/alpha is 1.504324706437962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33581020373471476
the lambda is 0.5538604343624769
the regulation term lambda/alpha is 1.6493258042868129
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30548387742593713
the lambda is 0.5184030646043449
the regulation term lambda/alpha is 1.6969899327339424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2914762746717175
the lambda is 0.5055835684277546
the regulation term lambda/alpha is 1.7345616517062354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3348906255023981
the lambda is 0.47498582357667224
the regulation term lambda/alpha is 1.41833120250561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3050860496282812
the lambda is 0.49347720132904044
the regulation term lambda/alpha is 1.617501691507351
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3461605836250688
the lambda is 0.5326645849860199
the regulation term lambda/alpha is 1.5387788505780775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2743193739674632
the lambda is 0.4938992766111649
the regulation term lambda/alpha is 1.8004534986644651
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936908667669599
the lambda is 0.48421640432946106
the regulation term lambda/alpha is 1.648728166659949
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3391438944917169
the lambda is 0.5615605462071825
the regulation term lambda/alpha is 1.6558179443236236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3501702079186189
the lambda is 0.585177430672757
the regulation term lambda/alpha is 1.671122835237756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33734132701702413
the lambda is 0.521214723149315
the regulation term lambda/alpha is 1.5450663212782454
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29319990174772104
the lambda is 0.557964868792855
the regulation term lambda/alpha is 1.903018607669748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3375470753677686
the lambda is 0.50094464531507
the regulation term lambda/alpha is 1.4840734281856074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28728565658661054
the lambda is 0.4840136475803895
the regulation term lambda/alpha is 1.684781806830198
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3105857148619529
the lambda is 0.45664972762454864
the regulation term lambda/alpha is 1.4702856756548424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3154431492215671
the lambda is 0.5237112191451302
the regulation term lambda/alpha is 1.6602396356919318
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28950939311426943
the lambda is 0.4385960910512078
the regulation term lambda/alpha is 1.514963249838646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2949647490650742
the lambda is 0.5017519967094906
the regulation term lambda/alpha is 1.7010574934796552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30675468889714513
the lambda is 0.5215745640955233
the regulation term lambda/alpha is 1.7002985870263494
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2727913890691454
the lambda is 0.4963523786407271
the regulation term lambda/alpha is 1.8195309622288514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3702717691464223
the lambda is 0.5511541006119504
the regulation term lambda/alpha is 1.4885123483286649
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2963601533257673
the lambda is 0.49787214386013734
the regulation term lambda/alpha is 1.6799564255619157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.313714417305288
the lambda is 0.5485228858149652
the regulation term lambda/alpha is 1.7484784107998956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29095661240841975
the lambda is 0.550283916710362
the regulation term lambda/alpha is 1.8912920113941973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35818038217237635
the lambda is 0.49417163548768844
the regulation term lambda/alpha is 1.3796725339632518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31013883219863375
the lambda is 0.48665883549923905
the regulation term lambda/alpha is 1.5691644675683503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491702678298933
the lambda is 0.518340353038353
the regulation term lambda/alpha is 1.4844916672311717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32218434749051506
the lambda is 0.47159754735364795
the regulation term lambda/alpha is 1.4637506478105102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3278731166720545
the lambda is 0.5051365001642274
the regulation term lambda/alpha is 1.5406462880867278
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26965686875775774
the lambda is 0.5270449882382844
the regulation term lambda/alpha is 1.954502366901499
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33220850141000796
the lambda is 0.5788918544459353
the regulation term lambda/alpha is 1.7425558105494523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.306785427988795
the lambda is 0.511467427980567
the regulation term lambda/alpha is 1.667182927603875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2961838613046043
the lambda is 0.5513085629318981
the regulation term lambda/alpha is 1.8613727314632988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32345385793337117
the lambda is 0.5689800908764837
the regulation term lambda/alpha is 1.7590765326215059
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3034907424242248
the lambda is 0.49414332558591384
the regulation term lambda/alpha is 1.6281990074517378
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2706728713263452
the lambda is 0.4609194904775821
the regulation term lambda/alpha is 1.7028654856284435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3218938567241753
the lambda is 0.5802398355239027
the regulation term lambda/alpha is 1.8025812652308524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28276997574596113
the lambda is 0.5153210323796413
the regulation term lambda/alpha is 1.8224036375156134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2873324695513266
the lambda is 0.5423194236153472
the regulation term lambda/alpha is 1.8874282619788363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2884756205165814
the lambda is 0.5470220018341135
the regulation term lambda/alpha is 1.896250368937749
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365011300597321
the lambda is 0.48561326931580967
the regulation term lambda/alpha is 1.4431252258487477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41626272313249163
the lambda is 0.5455985833735645
the regulation term lambda/alpha is 1.310707284254965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3288397493523104
the lambda is 0.5179351519539152
the regulation term lambda/alpha is 1.5750381545237488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3174925989425491
the lambda is 0.5322981855610669
the regulation term lambda/alpha is 1.676568799820708
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3128778029166888
the lambda is 0.478625050716289
the regulation term lambda/alpha is 1.5297507405590367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30804790041281616
the lambda is 0.535638655061223
the regulation term lambda/alpha is 1.7388161202962644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3293530917144568
the lambda is 0.558754153977109
the regulation term lambda/alpha is 1.696520142162621
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36112190122623344
the lambda is 0.4989047403945003
the regulation term lambda/alpha is 1.381541077127719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3523899503153562
the lambda is 0.5077797841126416
the regulation term lambda/alpha is 1.4409598901961476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311071980347642
the lambda is 0.49974903974833446
the regulation term lambda/alpha is 1.5093270176985518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2993736950554593
the lambda is 0.5096429007736389
the regulation term lambda/alpha is 1.7023636651818292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40430481338111146
the lambda is 0.5192185736852192
the regulation term lambda/alpha is 1.2842255558203957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3244478937542015
the lambda is 0.4828254930326686
the regulation term lambda/alpha is 1.4881449450815432
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32515966690725245
the lambda is 0.5104302159814228
the regulation term lambda/alpha is 1.5697833031887574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34538842878231774
the lambda is 0.5670746617556842
the regulation term lambda/alpha is 1.641846149145561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41079109995713553
the lambda is 0.5540244100099296
the regulation term lambda/alpha is 1.348676760688681
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3356796253785276
the lambda is 0.47025423996367716
the regulation term lambda/alpha is 1.400901944624721
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31759258245537014
the lambda is 0.5512520644371671
the regulation term lambda/alpha is 1.7357208413853056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945147859569838
the lambda is 0.48648011301443533
the regulation term lambda/alpha is 1.6518020018373187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919990295177813
the lambda is 0.5801883562599445
the regulation term lambda/alpha is 1.986953029323729
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29479547104807746
the lambda is 0.5844126691662759
the regulation term lambda/alpha is 1.9824343538539826
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31144129855387326
the lambda is 0.5993416201726152
the regulation term lambda/alpha is 1.9244127961049482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151250530655724
the lambda is 0.521949500755826
the regulation term lambda/alpha is 1.6563249912320261
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31526807645559146
the lambda is 0.4811753033491661
the regulation term lambda/alpha is 1.5262417583118164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27177473376439937
the lambda is 0.4334851223403443
the regulation term lambda/alpha is 1.5950162707771471
560
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2995072023375181
the lambda is 0.4533189925694676
the regulation term lambda/alpha is 1.5135495541727149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29050328191975805
the lambda is 0.5148815330544109
the regulation term lambda/alpha is 1.7723776807334999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3040965378011104
the lambda is 0.5041255253851611
the regulation term lambda/alpha is 1.6577812066866626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34620406262455283
the lambda is 0.5377696006584625
the regulation term lambda/alpha is 1.553331282659315
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33787143104286205
the lambda is 0.5090959564976654
the regulation term lambda/alpha is 1.506774203803819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3507697943274053
the lambda is 0.552219927897752
the regulation term lambda/alpha is 1.5743086686144787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2988492162951689
the lambda is 0.4793721662484527
the regulation term lambda/alpha is 1.604060309045562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3074357730544963
the lambda is 0.5651641387862981
the regulation term lambda/alpha is 1.8383161242791244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33482434509630965
the lambda is 0.4915141802714222
the regulation term lambda/alpha is 1.4679762313282265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2903522804330593
the lambda is 0.5001719583879813
the regulation term lambda/alpha is 1.7226382986969375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171657397697141
the lambda is 0.5458022450189983
the regulation term lambda/alpha is 1.7208739046508976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2640161125385479
the lambda is 0.46966122321203807
the regulation term lambda/alpha is 1.7789112137747456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28684742314022355
the lambda is 0.46250911242253256
the regulation term lambda/alpha is 1.6123871965077334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2869391581555197
the lambda is 0.5399604291324669
the regulation term lambda/alpha is 1.8817941496845505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35192387125838204
the lambda is 0.5426648184363464
the regulation term lambda/alpha is 1.5419949107059083
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3201255958275265
the lambda is 0.5007034427761224
the regulation term lambda/alpha is 1.564084375951886
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28560314410540816
the lambda is 0.5379283531926569
the regulation term lambda/alpha is 1.883481902405537
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2878881786085043
the lambda is 0.4602323666080997
the regulation term lambda/alpha is 1.5986497564179742
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30023084858562443
the lambda is 0.5034553295835645
the regulation term lambda/alpha is 1.6768940698643144
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34692478435338586
the lambda is 0.45515027606759567
the regulation term lambda/alpha is 1.311956644769342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29585263688722313
the lambda is 0.5649171655729472
the regulation term lambda/alpha is 1.9094545565544159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31993418901772014
the lambda is 0.4915880846141061
the regulation term lambda/alpha is 1.5365287658796558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3067760960104316
the lambda is 0.5226903875649024
the regulation term lambda/alpha is 1.7038171955455383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3694591739933113
the lambda is 0.5278477350186284
the regulation term lambda/alpha is 1.428703824872906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2759519884983074
the lambda is 0.503442370336349
the regulation term lambda/alpha is 1.8243839193767468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3047922594928341
the lambda is 0.4726821598096137
the regulation term lambda/alpha is 1.5508338715561338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2587546638962847
the lambda is 0.5345116328965223
the regulation term lambda/alpha is 2.065708207334063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2987764051778614
the lambda is 0.5122574795080012
the regulation term lambda/alpha is 1.7145178489012698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27930195326862334
the lambda is 0.47095607819575463
the regulation term lambda/alpha is 1.6861897050279657
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3017037920242068
the lambda is 0.4747296368864827
the regulation term lambda/alpha is 1.5734957578802768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30143065186175066
the lambda is 0.5407666184301915
the regulation term lambda/alpha is 1.794000096175391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28261819477073047
the lambda is 0.4708410341596544
the regulation term lambda/alpha is 1.6659968921732613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30587161154285464
the lambda is 0.559904410176964
the regulation term lambda/alpha is 1.8305210063553665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28097295727357174
the lambda is 0.46864741100748514
the regulation term lambda/alpha is 1.667944899591111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34888095225046406
the lambda is 0.47063446388087954
the regulation term lambda/alpha is 1.3489829721142466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28132580827808945
the lambda is 0.48895554814922876
the regulation term lambda/alpha is 1.7380401433554156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30900869532564595
the lambda is 0.5440595415070295
the regulation term lambda/alpha is 1.7606609449409745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2807336395177255
the lambda is 0.4693546130597639
the regulation term lambda/alpha is 1.6718858981989897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3643579094125137
the lambda is 0.592541095028885
the regulation term lambda/alpha is 1.6262611013008914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3464845073024589
the lambda is 0.5355268913757689
the regulation term lambda/alpha is 1.5456012609195484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3022612307257276
the lambda is 0.4712315907323937
the regulation term lambda/alpha is 1.5590209488691924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35199532672391526
the lambda is 0.5584960799211242
the regulation term lambda/alpha is 1.5866576557113672
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3274852568076929
the lambda is 0.5216404378647094
the regulation term lambda/alpha is 1.592866936819171
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098916674366564
the lambda is 0.5081929233562185
the regulation term lambda/alpha is 1.6399050918660016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3739176623953098
the lambda is 0.5317933033076837
the regulation term lambda/alpha is 1.4222203356242265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32765755365262994
the lambda is 0.48001366119859046
the regulation term lambda/alpha is 1.4649857933917272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2786569312881723
the lambda is 0.48884857357642664
the regulation term lambda/alpha is 1.7543025802967922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30072664488125084
the lambda is 0.5251041131439071
the regulation term lambda/alpha is 1.7461176855521305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3475461925218644
the lambda is 0.5299487578795065
the regulation term lambda/alpha is 1.52482970402896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3484445726890031
the lambda is 0.49437675308576307
the regulation term lambda/alpha is 1.4188103125572533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137468055111315
the lambda is 0.517981293474179
the regulation term lambda/alpha is 1.6509532029507832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2900845117106994
the lambda is 0.5265647542214292
the regulation term lambda/alpha is 1.8152115434090155
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2901690308277994
the lambda is 0.4985703898374553
the regulation term lambda/alpha is 1.7182067583681304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3029728819309981
the lambda is 0.5033878809602487
the regulation term lambda/alpha is 1.661494843208096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28220077046652714
the lambda is 0.5026741986655057
the regulation term lambda/alpha is 1.7812644445814143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100349011654777
the lambda is 0.5191609564186109
the regulation term lambda/alpha is 1.6745242373261535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3675507322625922
the lambda is 0.5551065887818005
the regulation term lambda/alpha is 1.5102856287746729
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33125984865697616
the lambda is 0.5244500136086374
the regulation term lambda/alpha is 1.583198252776213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3036481090436877
the lambda is 0.47336333295629923
the regulation term lambda/alpha is 1.5589207337635471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891080436350078
the lambda is 0.5361988452153343
the regulation term lambda/alpha is 1.85466595281684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27888685216077314
the lambda is 0.49732019241440784
the regulation term lambda/alpha is 1.78323283640389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29615100210353085
the lambda is 0.4756595211475015
the regulation term lambda/alpha is 1.6061384826285903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24478694731065292
the lambda is 0.47707806611991826
the regulation term lambda/alpha is 1.9489522270747164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31192549945161707
the lambda is 0.48445059822925157
the regulation term lambda/alpha is 1.5530971308243267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28094603273582525
the lambda is 0.4998320499312481
the regulation term lambda/alpha is 1.7791034280282658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124230427221006
the lambda is 0.511667183942837
the regulation term lambda/alpha is 1.63773830343866
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29408567744946335
the lambda is 0.5151673633315265
the regulation term lambda/alpha is 1.7517594457487802
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2670300406123492
the lambda is 0.5184506043412124
the regulation term lambda/alpha is 1.9415441167304974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34700313259005144
the lambda is 0.5063709739076617
the regulation term lambda/alpha is 1.4592691718028004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3452404164268583
the lambda is 0.5081226515561077
the regulation term lambda/alpha is 1.4717936469172264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28850594123592194
the lambda is 0.46624139358024974
the regulation term lambda/alpha is 1.6160547390564375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33843153693888034
the lambda is 0.48203092322476115
the regulation term lambda/alpha is 1.4243085251000542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3326092005444677
the lambda is 0.5235232438794429
the regulation term lambda/alpha is 1.5739890629076307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36043314796506337
the lambda is 0.5247124816028964
the regulation term lambda/alpha is 1.4557830892228496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32537968671525686
the lambda is 0.5371090011686009
the regulation term lambda/alpha is 1.6507146054222819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151614920604501
the lambda is 0.5217297574272702
the regulation term lambda/alpha is 1.655436246402841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25882253545940453
the lambda is 0.49855987926479656
the regulation term lambda/alpha is 1.9262614763427122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.275482287491624
the lambda is 0.4578373208047999
the regulation term lambda/alpha is 1.6619483051835786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29795295133561156
the lambda is 0.5352011825936008
the regulation term lambda/alpha is 1.7962607189977284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2606454680943041
the lambda is 0.503879200727073
the regulation term lambda/alpha is 1.933197628223348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28780176963944626
the lambda is 0.4508178297297926
the regulation term lambda/alpha is 1.5664178517545964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27199310636601776
the lambda is 0.47763270863892215
the regulation term lambda/alpha is 1.7560471109741205
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.30828389278593865
the lambda is 0.4790561103629539
the regulation term lambda/alpha is 1.5539446645549964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28147375679732206
the lambda is 0.4530875718119929
the regulation term lambda/alpha is 1.6096973905039504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240863456604728
the lambda is 0.5477802501175104
the regulation term lambda/alpha is 1.690229339965434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2594276371707544
the lambda is 0.4989265066028887
the regulation term lambda/alpha is 1.9231817860426987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3452411844110478
the lambda is 0.5348625068644499
the regulation term lambda/alpha is 1.549243053886749
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30110203163319726
the lambda is 0.4908973565636307
the regulation term lambda/alpha is 1.6303355839247284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2956736407129967
the lambda is 0.45753414203199455
the regulation term lambda/alpha is 1.5474295947676715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3290677757341484
the lambda is 0.5427409451033623
the regulation term lambda/alpha is 1.6493287557327978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397714737934567
the lambda is 0.5062849627645166
the regulation term lambda/alpha is 1.4900749527674642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089316654070589
the lambda is 0.5446083731255169
the regulation term lambda/alpha is 1.762876500238078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3400415952076547
the lambda is 0.5286050015362085
the regulation term lambda/alpha is 1.5545304132966526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30560736552573425
the lambda is 0.5106056533477107
the regulation term lambda/alpha is 1.6707897483731102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3780327683700754
the lambda is 0.47619432061569883
the regulation term lambda/alpha is 1.25966413617755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29579114125965666
the lambda is 0.5037418479250885
the regulation term lambda/alpha is 1.7030322334193397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28663398801592754
the lambda is 0.5314707335132618
the regulation term lambda/alpha is 1.8541790427300244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30866463369308506
the lambda is 0.5234929069156106
the regulation term lambda/alpha is 1.6959925102275761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2978113698463357
the lambda is 0.49194979370049124
the regulation term lambda/alpha is 1.651883855053374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34276284750920005
the lambda is 0.6027395537112414
the regulation term lambda/alpha is 1.758473994749572
570
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35958382650526155
the lambda is 0.5718959178497454
the regulation term lambda/alpha is 1.590438378188228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29502269054890745
the lambda is 0.45137417909750494
the regulation term lambda/alpha is 1.5299642826038098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3385410381122434
the lambda is 0.518650130170121
the regulation term lambda/alpha is 1.5320155366161616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3420077870515065
the lambda is 0.5439142086757149
the regulation term lambda/alpha is 1.5903562119590022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3312177287800589
the lambda is 0.5610357837787728
the regulation term lambda/alpha is 1.6938579521246637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30986100833758123
the lambda is 0.47884945362524456
the regulation term lambda/alpha is 1.5453685386047578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28183261747806615
the lambda is 0.5424455963186056
the regulation term lambda/alpha is 1.9247083647471068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24122206312316452
the lambda is 0.48889654151591055
the regulation term lambda/alpha is 2.026748860307554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2835551120516202
the lambda is 0.4978675262214543
the regulation term lambda/alpha is 1.7558051506079682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3119114709438554
the lambda is 0.5108403978937323
the regulation term lambda/alpha is 1.6377736809355254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3551689913240657
the lambda is 0.5064577816281591
the regulation term lambda/alpha is 1.4259628345934443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3272283286354795
the lambda is 0.5324603606181182
the regulation term lambda/alpha is 1.6271829607126091
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2645700598693465
the lambda is 0.4760588371955039
the regulation term lambda/alpha is 1.799367764555814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3107400427849418
the lambda is 0.4713980632434463
the regulation term lambda/alpha is 1.5170174368859612
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2991024336921826
the lambda is 0.5528649280383907
the regulation term lambda/alpha is 1.8484133385800683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.353164008073619
the lambda is 0.6169745815119169
the regulation term lambda/alpha is 1.7469916735776345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33279457372900445
the lambda is 0.5168555731548511
the regulation term lambda/alpha is 1.5530769247930347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891436868714985
the lambda is 0.48813735111339474
the regulation term lambda/alpha is 1.6882172195941223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3194900534357349
the lambda is 0.5020197989755779
the regulation term lambda/alpha is 1.5713158941161174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105197354065407
the lambda is 0.46729190074006305
the regulation term lambda/alpha is 1.5048702142176955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2954456962883693
the lambda is 0.49923182882965056
the regulation term lambda/alpha is 1.689758338339023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.360245266386174
the lambda is 0.5393155492693842
the regulation term lambda/alpha is 1.4970787948987268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33054624963453044
the lambda is 0.531979354308358
the regulation term lambda/alpha is 1.60939461541779
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36319573880950284
the lambda is 0.503049131892507
the regulation term lambda/alpha is 1.385063419360098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33290527594963837
the lambda is 0.5114516620742201
the regulation term lambda/alpha is 1.5363278957212805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28682195153695134
the lambda is 0.48567425491878846
the regulation term lambda/alpha is 1.6932952736576683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3998011114445819
the lambda is 0.5196379831738153
the regulation term lambda/alpha is 1.2997412170672378
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33863992200685517
the lambda is 0.49166837363951077
the regulation term lambda/alpha is 1.4518913503339332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3290985629949188
the lambda is 0.5002279912894465
the regulation term lambda/alpha is 1.5199944561811105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32695038388811176
the lambda is 0.5080265304939715
the regulation term lambda/alpha is 1.5538337176806227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34777012210949115
the lambda is 0.5385577672419176
the regulation term lambda/alpha is 1.548602749353952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.300074763316744
the lambda is 0.5471623920307302
the regulation term lambda/alpha is 1.8234202236233137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30452050294881616
the lambda is 0.44502658043673665
the regulation term lambda/alpha is 1.4614010423841208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129146271458864
the lambda is 0.522991001237061
the regulation term lambda/alpha is 1.6713536404715053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31552682522895714
the lambda is 0.47560158581207257
the regulation term lambda/alpha is 1.5073253612175752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3303515213401479
the lambda is 0.5838267851147055
the regulation term lambda/alpha is 1.7672895306983185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30572506943528716
the lambda is 0.5453753921325333
the regulation term lambda/alpha is 1.783875274408836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3049332201865329
the lambda is 0.5094842525873405
the regulation term lambda/alpha is 1.6708059957379529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28030481889594727
the lambda is 0.4522001178557512
the regulation term lambda/alpha is 1.6132441805205413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116328996738213
the lambda is 0.5098202156856778
the regulation term lambda/alpha is 1.6359640340262356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29148802752336234
the lambda is 0.4735483968373096
the regulation term lambda/alpha is 1.62458952726405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.360590998147482
the lambda is 0.5284920441818575
the regulation term lambda/alpha is 1.465627391967516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124838445636046
the lambda is 0.560295187238802
the regulation term lambda/alpha is 1.7930372945240585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3523829843929802
the lambda is 0.5265078470463492
the regulation term lambda/alpha is 1.494135274304799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2741835037149143
the lambda is 0.5242825585157771
the regulation term lambda/alpha is 1.9121593801679126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31997145158455964
the lambda is 0.4867788075334266
the regulation term lambda/alpha is 1.5213194962325707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30680714313775614
the lambda is 0.5433485112260975
the regulation term lambda/alpha is 1.7709773823034312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2676751829205181
the lambda is 0.47118978306624415
the regulation term lambda/alpha is 1.7603043282729594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31599157072508605
the lambda is 0.5138603839274604
the regulation term lambda/alpha is 1.6261838337913166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2828552327439679
the lambda is 0.5358676564697535
the regulation term lambda/alpha is 1.8944944071612948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3568089820394492
the lambda is 0.5382571687868098
the regulation term lambda/alpha is 1.5085303226119444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24810302389703484
the lambda is 0.5332022911648135
the regulation term lambda/alpha is 2.149116454888908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32821363614204196
the lambda is 0.5356495906592958
the regulation term lambda/alpha is 1.632015040433851
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33241149706407186
the lambda is 0.5326036328352911
the regulation term lambda/alpha is 1.6022419126274459
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3405128395228806
the lambda is 0.5202340311373712
the regulation term lambda/alpha is 1.527795638679329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3467091557670575
the lambda is 0.49912325123968143
the regulation term lambda/alpha is 1.4396021649195383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33659346098847
the lambda is 0.5650275112805582
the regulation term lambda/alpha is 1.6786645516560204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341569693451886
the lambda is 0.5477312892011118
the regulation term lambda/alpha is 1.6391436942776976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27218696904845724
the lambda is 0.5064821744292929
the regulation term lambda/alpha is 1.860787737928498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.251750684759198
the lambda is 0.5112550628096513
the regulation term lambda/alpha is 2.030799095139192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28682226252799736
the lambda is 0.47538298410283314
the regulation term lambda/alpha is 1.657413130741307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3468145850089932
the lambda is 0.5083663323139198
the regulation term lambda/alpha is 1.4658158978542883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29187555416464134
the lambda is 0.5428377358254007
the regulation term lambda/alpha is 1.8598259706230706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879960654550166
the lambda is 0.4457118079373576
the regulation term lambda/alpha is 1.5476315873731106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32913396769566183
the lambda is 0.5470341937570852
the regulation term lambda/alpha is 1.6620411365833494
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29329085865248317
the lambda is 0.47255133732977717
the regulation term lambda/alpha is 1.6112037705535773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2979017354283758
the lambda is 0.45828710353258184
the regulation term lambda/alpha is 1.538383463505426
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3499747004871708
the lambda is 0.4969756210011834
the regulation term lambda/alpha is 1.420032991840224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28000721718609756
the lambda is 0.5107933831738664
the regulation term lambda/alpha is 1.8242150624081392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27564276985817415
the lambda is 0.533431491006907
the regulation term lambda/alpha is 1.9352275819945224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945914244513012
the lambda is 0.5387860945870886
the regulation term lambda/alpha is 1.828926607726679
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3260114937077501
the lambda is 0.5557431836999971
the regulation term lambda/alpha is 1.704673591042737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35689478212930914
the lambda is 0.5479914528695634
the regulation term lambda/alpha is 1.5354426018787146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3247363387840016
the lambda is 0.4818916323591271
the regulation term lambda/alpha is 1.4839473591517496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34762453088132766
the lambda is 0.5677935543275321
the regulation term lambda/alpha is 1.6333529537976303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3264184635250029
the lambda is 0.547447096399183
the regulation term lambda/alpha is 1.6771327531147753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2747897528588647
the lambda is 0.44552071180604386
the regulation term lambda/alpha is 1.621314867715859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35345282900881647
the lambda is 0.5984165994405238
the regulation term lambda/alpha is 1.6930593004974845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3485963213323884
the lambda is 0.5598614052296859
the regulation term lambda/alpha is 1.606045075547011
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3413431002396262
the lambda is 0.5414079746433679
the regulation term lambda/alpha is 1.5861107907653447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3081386395890967
the lambda is 0.43776894190607424
the regulation term lambda/alpha is 1.4206882411431416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27340167779045305
the lambda is 0.5218788823749537
the regulation term lambda/alpha is 1.908835697690723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3339731473841346
the lambda is 0.5299623922975603
the regulation term lambda/alpha is 1.5868413267609196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32435115770400486
the lambda is 0.5519434289226542
the regulation term lambda/alpha is 1.7016847814871827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27822300042437786
the lambda is 0.4417860702839819
the regulation term lambda/alpha is 1.587884788856848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31509970096737105
the lambda is 0.4999873804365772
the regulation term lambda/alpha is 1.58675929841124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27395811913253904
the lambda is 0.4855765920133141
the regulation term lambda/alpha is 1.7724482616205857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32308810668887894
the lambda is 0.5169224688763719
the regulation term lambda/alpha is 1.5999427344261479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35586210267247137
the lambda is 0.5570930169766448
the regulation term lambda/alpha is 1.5654744149291517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2860546555830081
the lambda is 0.43751403058632277
the regulation term lambda/alpha is 1.529477049393324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3649043010590404
the lambda is 0.5732392960750722
the regulation term lambda/alpha is 1.570930499891049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3439749529625294
the lambda is 0.5753810373356253
the regulation term lambda/alpha is 1.6727410887917293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3519702804978661
the lambda is 0.5258699727068676
the regulation term lambda/alpha is 1.4940749314488098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34235200702718926
the lambda is 0.5259335983340634
the regulation term lambda/alpha is 1.5362363518794684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3006034668493114
the lambda is 0.46580412400342963
the regulation term lambda/alpha is 1.5495633795764943
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29529707091555446
the lambda is 0.5575168324362537
the regulation term lambda/alpha is 1.8879863274894648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32792082307490705
the lambda is 0.5298385480727041
the regulation term lambda/alpha is 1.615751458246593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.334462164184661
the lambda is 0.5024792190789028
the regulation term lambda/alpha is 1.5023499602827342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2704781386408745
the lambda is 0.5218833459800096
the regulation term lambda/alpha is 1.9294843886549244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31367239970432187
the lambda is 0.5487908391360633
the regulation term lambda/alpha is 1.7495668718490118
580
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37769594910922677
the lambda is 0.5363158545878082
the regulation term lambda/alpha is 1.4199671875027438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3135692701681319
the lambda is 0.5082055887136339
the regulation term lambda/alpha is 1.620712349909608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29258183503330254
the lambda is 0.5341734644405043
the regulation term lambda/alpha is 1.8257232694562295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32519614437953026
the lambda is 0.479575692945759
the regulation term lambda/alpha is 1.4747274875007599
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2712101612551022
the lambda is 0.4748013163339274
the regulation term lambda/alpha is 1.7506767229393219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31449613941009874
the lambda is 0.5044365545717658
the regulation term lambda/alpha is 1.6039515000659113
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3278087313037726
the lambda is 0.530810921662565
the regulation term lambda/alpha is 1.6192702358823845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3097464940804422
the lambda is 0.5196816766435371
the regulation term lambda/alpha is 1.6777645157416183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2990153696704209
the lambda is 0.4890162035016208
the regulation term lambda/alpha is 1.6354216308031977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31555329895926687
the lambda is 0.4997479003082713
the regulation term lambda/alpha is 1.5837194602512497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28535389203175565
the lambda is 0.5353002792765159
the regulation term lambda/alpha is 1.8759172179678731
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2585184982919855
the lambda is 0.4601295434387792
the regulation term lambda/alpha is 1.7798708660263172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2820020816223927
the lambda is 0.5183078166315854
the regulation term lambda/alpha is 1.8379574138236736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30572752671830694
the lambda is 0.5137779027205752
the regulation term lambda/alpha is 1.680509139086985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3228082885982998
the lambda is 0.4991679588798621
the regulation term lambda/alpha is 1.546329436110059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3624860975173144
the lambda is 0.4976720506808146
the regulation term lambda/alpha is 1.37294107026282
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246252186286523
the lambda is 0.48844861345415885
the regulation term lambda/alpha is 1.5046539376009127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35367206975939197
the lambda is 0.5141714759065193
the regulation term lambda/alpha is 1.4538085415009372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2898571448335578
the lambda is 0.45773580836363675
the regulation term lambda/alpha is 1.5791772482492314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34340281992416866
the lambda is 0.5606450260737937
the regulation term lambda/alpha is 1.6326162557360397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351246257131285
the lambda is 0.5442207978304864
the regulation term lambda/alpha is 1.623935563292049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29457152133031833
the lambda is 0.4858413141890038
the regulation term lambda/alpha is 1.6493152902048691
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3188280708651677
the lambda is 0.5272512934028398
the regulation term lambda/alpha is 1.653716662940304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100816148107676
the lambda is 0.5143959988475768
the regulation term lambda/alpha is 1.6589051858540385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3064976194412804
the lambda is 0.5110444112598899
the regulation term lambda/alpha is 1.6673682888352648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34955991097584654
the lambda is 0.5285441376480603
the regulation term lambda/alpha is 1.5120273265105075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330969562056996
the lambda is 0.48395158718369746
the regulation term lambda/alpha is 1.4528850479343305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.326162101285994
the lambda is 0.5227676546332785
the regulation term lambda/alpha is 1.6027847888277236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30068107108755204
the lambda is 0.4628048173195581
the regulation term lambda/alpha is 1.5391884020021964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2785634702270974
the lambda is 0.5838516665098867
the regulation term lambda/alpha is 2.0959376548328637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3356141489595832
the lambda is 0.4840807369021612
the regulation term lambda/alpha is 1.4423728510935256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25501825916673987
the lambda is 0.4428108612293175
the regulation term lambda/alpha is 1.7363888479051701
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2890702240577379
the lambda is 0.4947686832707037
the regulation term lambda/alpha is 1.7115864661725944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.281028510606663
the lambda is 0.5018497296152462
the regulation term lambda/alpha is 1.7857609127696372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3212060474481709
the lambda is 0.503460895068594
the regulation term lambda/alpha is 1.5674078961724138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34449220348263443
the lambda is 0.525219631923294
the regulation term lambda/alpha is 1.524619792882395
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3222116208030285
the lambda is 0.5720482754923976
the regulation term lambda/alpha is 1.7753806460074788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30472884375927417
the lambda is 0.5161110454204856
the regulation term lambda/alpha is 1.6936730998401859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35603999633854866
the lambda is 0.5172098552865543
the regulation term lambda/alpha is 1.4526734653562732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.327477103261891
the lambda is 0.4928020681329347
the regulation term lambda/alpha is 1.504844348579783
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34718938081841794
the lambda is 0.46452081302818177
the regulation term lambda/alpha is 1.33794648883898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38115273317276455
the lambda is 0.5336552747242342
the regulation term lambda/alpha is 1.4001087445497737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27255632356866905
the lambda is 0.47116198403099485
the regulation term lambda/alpha is 1.7286774999820844
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25986565320848953
the lambda is 0.5030475011148231
the regulation term lambda/alpha is 1.9357983438897537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34695257713334077
the lambda is 0.6041616754545328
the regulation term lambda/alpha is 1.7413379097695576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33039191695586423
the lambda is 0.49186592455077804
the regulation term lambda/alpha is 1.488734739889186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3652886627133233
the lambda is 0.5149609485279794
the regulation term lambda/alpha is 1.4097370137438898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.296263872085914
the lambda is 0.5278735113118407
the regulation term lambda/alpha is 1.781768082605637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29442818879843574
the lambda is 0.45019035799199847
the regulation term lambda/alpha is 1.5290328002533644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3923217379080638
the lambda is 0.49913201566069554
the regulation term lambda/alpha is 1.272251745014602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35353937206169983
the lambda is 0.5054559929388096
the regulation term lambda/alpha is 1.4297021290477294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427701937542514
the lambda is 0.4920702207947052
the regulation term lambda/alpha is 1.435568873142728
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112070407992458
the lambda is 0.5366484098667706
the regulation term lambda/alpha is 1.7244096036148266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30248688482794145
the lambda is 0.4728538910651642
the regulation term lambda/alpha is 1.5632211338158668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3225959604085224
the lambda is 0.4622443262962839
the regulation term lambda/alpha is 1.4328893818475485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31486619559922746
the lambda is 0.48267266788819513
the regulation term lambda/alpha is 1.5329453419717292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3065441045067623
the lambda is 0.4951304270793458
the regulation term lambda/alpha is 1.6152012705513419
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3150206153655402
the lambda is 0.5082636041599612
the regulation term lambda/alpha is 1.6134296594214566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3328619466112396
the lambda is 0.46108155582309307
the regulation term lambda/alpha is 1.3852035671761704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3093339625024142
the lambda is 0.48987192328244294
the regulation term lambda/alpha is 1.583634461989022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31569419277937794
the lambda is 0.5299695620236602
the regulation term lambda/alpha is 1.6787434616956292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360364899249779
the lambda is 0.46982912770127905
the regulation term lambda/alpha is 1.3981491349530852
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3318825629055144
the lambda is 0.4718473447299367
the regulation term lambda/alpha is 1.4217298450363893
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419711283534074
the lambda is 0.5169213538981275
the regulation term lambda/alpha is 1.5115935558276696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3245801263695216
the lambda is 0.49909285746221477
the regulation term lambda/alpha is 1.537656858553371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24729507430024983
the lambda is 0.501775588788147
the regulation term lambda/alpha is 2.029056139544952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3284744005036927
the lambda is 0.4865460262177458
the regulation term lambda/alpha is 1.4812296649956929
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29612185794449347
the lambda is 0.5566671599565991
the regulation term lambda/alpha is 1.8798583928273997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2911806273599561
the lambda is 0.5240148538077511
the regulation term lambda/alpha is 1.7996212816725836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2961298708516922
the lambda is 0.4999122028173923
the regulation term lambda/alpha is 1.6881518955842127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3378144326433482
the lambda is 0.5217964702123226
the regulation term lambda/alpha is 1.544624562453836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33740651962761764
the lambda is 0.5020028640636648
the regulation term lambda/alpha is 1.4878279904540839
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3221972681672482
the lambda is 0.4885425179684644
the regulation term lambda/alpha is 1.5162838615840424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30395132340678654
the lambda is 0.4584620830276335
the regulation term lambda/alpha is 1.5083404733660624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31311683711693794
the lambda is 0.5016123370745263
the regulation term lambda/alpha is 1.6019973301122483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34208701172892647
the lambda is 0.5920484941880362
the regulation term lambda/alpha is 1.7306956238875912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3038009851559753
the lambda is 0.5074858197156614
the regulation term lambda/alpha is 1.6704548191478434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41891063738158646
the lambda is 0.53757156685548
the regulation term lambda/alpha is 1.2832607217032903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3284100595929766
the lambda is 0.4948546240743381
the regulation term lambda/alpha is 1.5068193242547103
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3451785144124524
the lambda is 0.455325964836797
the regulation term lambda/alpha is 1.319102857870029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34637340626863256
the lambda is 0.5408428827964442
the regulation term lambda/alpha is 1.5614445942105306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29684938462192284
the lambda is 0.4809362843170127
the regulation term lambda/alpha is 1.6201356958497624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3040707403630901
the lambda is 0.5768013413328867
the regulation term lambda/alpha is 1.8969314201166798
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3100384635064109
the lambda is 0.5208953334233751
the regulation term lambda/alpha is 1.6800990674907152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3466135698248532
the lambda is 0.5367931160799922
the regulation term lambda/alpha is 1.5486788828009197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26545401833664045
the lambda is 0.5134228484643943
the regulation term lambda/alpha is 1.93413100951174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30897465488372894
the lambda is 0.5108878886271435
the regulation term lambda/alpha is 1.6534944874989732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29651843612016393
the lambda is 0.5271953191697487
the regulation term lambda/alpha is 1.7779512332113578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33305905743393505
the lambda is 0.5210592894887699
the regulation term lambda/alpha is 1.5644651537276575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.320009600738833
the lambda is 0.5530857974181904
the regulation term lambda/alpha is 1.7283412627034778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28510441565701117
the lambda is 0.46469719392227915
the regulation term lambda/alpha is 1.6299193151793316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3327790911830308
the lambda is 0.49571206039587634
the regulation term lambda/alpha is 1.489613000124552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33696126130641296
the lambda is 0.5568134515908871
the regulation term lambda/alpha is 1.6524553874000174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2716245570051695
the lambda is 0.4423164954546315
the regulation term lambda/alpha is 1.6284112906853756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2892334049043861
the lambda is 0.5281044718164011
the regulation term lambda/alpha is 1.8258764819747575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34109424636839464
the lambda is 0.4824172543365551
the regulation term lambda/alpha is 1.4143224621136712
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3021812440126678
the lambda is 0.4972206470487951
the regulation term lambda/alpha is 1.6454384807150737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.369070251448376
the lambda is 0.4924905511656202
the regulation term lambda/alpha is 1.3344086911174624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3097428716108184
the lambda is 0.5091563346903532
the regulation term lambda/alpha is 1.6438032360276271
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26720860552677544
the lambda is 0.4785981238486976
the regulation term lambda/alpha is 1.7911029583242222
590
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787547366904673
the lambda is 0.5361823093477256
the regulation term lambda/alpha is 1.9234912945824094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018986993056546
the lambda is 0.5056841586069666
the regulation term lambda/alpha is 1.6750127104555401
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.34421384178818537
the lambda is 0.535929778409172
the regulation term lambda/alpha is 1.5569675397858072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35248916202384617
the lambda is 0.5638352348914271
the regulation term lambda/alpha is 1.5995817620437451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3367509300602368
the lambda is 0.4958511933645487
the regulation term lambda/alpha is 1.4724567895799205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3466235197920298
the lambda is 0.5175925196683712
the regulation term lambda/alpha is 1.4932411971897372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28168853667619215
the lambda is 0.5227749434033127
the regulation term lambda/alpha is 1.8558616178416065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32278949776248306
the lambda is 0.5594371258462759
the regulation term lambda/alpha is 1.7331329851937263
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36095546376171916
the lambda is 0.47522854681334226
the regulation term lambda/alpha is 1.3165849932307971
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31800443110227544
the lambda is 0.5429468207323336
the regulation term lambda/alpha is 1.7073561486245863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28588959697732075
the lambda is 0.49022811196138527
the regulation term lambda/alpha is 1.7147462417118817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3401725322558538
the lambda is 0.4574305570113787
the regulation term lambda/alpha is 1.3447016253132738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.301321278743986
the lambda is 0.5033528881869992
the regulation term lambda/alpha is 1.6704857031177904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481352000388319
the lambda is 0.5442513848194838
the regulation term lambda/alpha is 1.5633333967917538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30328777840701787
the lambda is 0.5469529200906826
the regulation term lambda/alpha is 1.8034123332086978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32255962776171687
the lambda is 0.4984875006650927
the regulation term lambda/alpha is 1.545411941736671
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3403369427669972
the lambda is 0.4990634694018822
the regulation term lambda/alpha is 1.4663805384875686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28882524467081205
the lambda is 0.48358442535227225
the regulation term lambda/alpha is 1.6743149509089366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129136235729849
the lambda is 0.5508622720571714
the regulation term lambda/alpha is 1.7604291745664011
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2808456564923851
the lambda is 0.507877046531228
the regulation term lambda/alpha is 1.8083849074767469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28574704553462155
the lambda is 0.5115518993267598
the regulation term lambda/alpha is 1.790226381412505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456243733002168
the lambda is 0.5484726402509413
the regulation term lambda/alpha is 1.586903825716383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2562666871589754
the lambda is 0.5027322837103159
the regulation term lambda/alpha is 1.961754332112801
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3077525841947597
the lambda is 0.48192544154156225
the regulation term lambda/alpha is 1.5659509173660686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3115669100617785
the lambda is 0.5491047126896184
the regulation term lambda/alpha is 1.7623974015107704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2803352810702052
the lambda is 0.48817378524278815
the regulation term lambda/alpha is 1.7413926045239139
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36232520055967243
the lambda is 0.5893360486072731
the regulation term lambda/alpha is 1.6265389426320445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32785052223096284
the lambda is 0.5393443194973044
the regulation term lambda/alpha is 1.645092146955158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29619750962660896
the lambda is 0.4717481242525541
the regulation term lambda/alpha is 1.5926809271531246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3061719114615313
the lambda is 0.4769099705372295
the regulation term lambda/alpha is 1.5576542219717973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3678677363303936
the lambda is 0.5489118343809269
the regulation term lambda/alpha is 1.4921445404712848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090266709769721
the lambda is 0.528674129126686
the regulation term lambda/alpha is 1.7107718484469627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3194276399933729
the lambda is 0.5500357258985393
the regulation term lambda/alpha is 1.7219415511755676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37686319208543434
the lambda is 0.576678349384523
the regulation term lambda/alpha is 1.5302060840523553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3312416018594688
the lambda is 0.5937303987839979
the regulation term lambda/alpha is 1.792439100194581
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31217034171560637
the lambda is 0.5433159935513253
the regulation term lambda/alpha is 1.7404471884337347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28238656815235924
the lambda is 0.48028627191337586
the regulation term lambda/alpha is 1.7008113206512059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3160780007803682
the lambda is 0.5643418880689942
the regulation term lambda/alpha is 1.7854513337710465
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3528654771397654
the lambda is 0.5147119716411028
the regulation term lambda/alpha is 1.4586634425481984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.338272611850057
the lambda is 0.5465845034477624
the regulation term lambda/alpha is 1.6158106932110776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.262655028703823
the lambda is 0.47246103694624264
the regulation term lambda/alpha is 1.798789230412956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2685059297377794
the lambda is 0.5054925323982659
the regulation term lambda/alpha is 1.8826121750529885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30174070493238936
the lambda is 0.5206173165448564
the regulation term lambda/alpha is 1.7253797980670538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3131294011657173
the lambda is 0.4528727338270716
the regulation term lambda/alpha is 1.4462798195925333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3777834056906261
the lambda is 0.5822188657212877
the regulation term lambda/alpha is 1.5411446266596411
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30917219544393937
the lambda is 0.4968486505129347
the regulation term lambda/alpha is 1.6070288914548454
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33165129175070457
the lambda is 0.54290454210345
the regulation term lambda/alpha is 1.6369740013301082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29433458334602
the lambda is 0.4492421761906291
the regulation term lambda/alpha is 1.526297627290707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3580222026021403
the lambda is 0.5343178801272922
the regulation term lambda/alpha is 1.4924154877653333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35764831565676103
the lambda is 0.5406572897699681
the regulation term lambda/alpha is 1.5117009254668006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3478914294326404
the lambda is 0.49047434375329035
the regulation term lambda/alpha is 1.4098488846166222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33001182320781486
the lambda is 0.5084584977607766
the regulation term lambda/alpha is 1.540728125490796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3451352562122505
the lambda is 0.4850852454333775
the regulation term lambda/alpha is 1.4054931702922313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3154652234469101
the lambda is 0.47690181599479464
the regulation term lambda/alpha is 1.511741328517794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2646728491835189
the lambda is 0.48930815042964493
the regulation term lambda/alpha is 1.8487281636144264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336211162525512
the lambda is 0.5567155905384241
the regulation term lambda/alpha is 1.6687060962801599
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004843322030386
the lambda is 0.5694772966482882
the regulation term lambda/alpha is 1.895197970799655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31400246119324576
the lambda is 0.4769799490231206
the regulation term lambda/alpha is 1.5190325171673542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289935475293359
the lambda is 0.49701329076524015
the regulation term lambda/alpha is 1.5107083239099761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2969034623615312
the lambda is 0.5293875669508696
the regulation term lambda/alpha is 1.7830292807641595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2551436911935132
the lambda is 0.45438883404814395
the regulation term lambda/alpha is 1.7809134606566215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29577005377840454
the lambda is 0.5479002479693769
the regulation term lambda/alpha is 1.852453421061593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30895376224787024
the lambda is 0.5173707129312948
the regulation term lambda/alpha is 1.6745894569046027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235789330990033
the lambda is 0.48619377769802347
the regulation term lambda/alpha is 1.502550778079443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32017951485922447
the lambda is 0.48047433923051086
the regulation term lambda/alpha is 1.500640474896604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31420050700466384
the lambda is 0.5534339467167807
the regulation term lambda/alpha is 1.7614037354451684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35080046111198754
the lambda is 0.4701991866584903
the regulation term lambda/alpha is 1.340360799891841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311767397053193
the lambda is 0.540062839263505
the regulation term lambda/alpha is 1.630739042071772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.274753299941491
the lambda is 0.4496469496520894
the regulation term lambda/alpha is 1.6365479495527158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3173032548549836
the lambda is 0.5406671574592443
the regulation term lambda/alpha is 1.7039445678120895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30195655941427235
the lambda is 0.5799798642258684
the regulation term lambda/alpha is 1.9207394114931586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31097200476591996
the lambda is 0.5330176913967052
the regulation term lambda/alpha is 1.714037544305402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3084933213361431
the lambda is 0.49440947671804925
the regulation term lambda/alpha is 1.602658607248507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35274788875911955
the lambda is 0.5259451200614677
the regulation term lambda/alpha is 1.4909943810340394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2793761957304944
the lambda is 0.48394508277390963
the regulation term lambda/alpha is 1.7322344930230082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3681813533700548
the lambda is 0.5725898940603074
the regulation term lambda/alpha is 1.5551843916571295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3812567789389521
the lambda is 0.5129452201164375
the regulation term lambda/alpha is 1.3454061631218148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3297983008782439
the lambda is 0.4847740464625232
the regulation term lambda/alpha is 1.4699106853236754
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30657995303571517
the lambda is 0.5335449216553654
the regulation term lambda/alpha is 1.7403124906644167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235441770851717
the lambda is 0.5385359927378116
the regulation term lambda/alpha is 1.6644898313099425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3511769664139659
the lambda is 0.4852216714394081
the regulation term lambda/alpha is 1.381701301182239
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34330572801788417
the lambda is 0.5686693170026088
the regulation term lambda/alpha is 1.656451584090623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3627833364144607
the lambda is 0.5537465838690669
the regulation term lambda/alpha is 1.5263837345506985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3774407503205847
the lambda is 0.5628076294819403
the regulation term lambda/alpha is 1.491115172391724
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33505492888170363
the lambda is 0.5040534172514083
the regulation term lambda/alpha is 1.504390396326246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29564338884494634
the lambda is 0.5315477982978252
the regulation term lambda/alpha is 1.7979356831706514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34222592793188694
the lambda is 0.5182937225419503
the regulation term lambda/alpha is 1.514478244456995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31838253351814366
the lambda is 0.5259477487150528
the regulation term lambda/alpha is 1.6519365648086992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3501396260420482
the lambda is 0.5981175141891204
the regulation term lambda/alpha is 1.7082257182661542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31104751554753296
the lambda is 0.5544219875044673
the regulation term lambda/alpha is 1.7824350293508222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2901317600603984
the lambda is 0.5018646059954532
the regulation term lambda/alpha is 1.7297816891572888
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3225399258678573
the lambda is 0.5588994486734324
the regulation term lambda/alpha is 1.7328070227882741
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36714141947373596
the lambda is 0.6342821644739007
the regulation term lambda/alpha is 1.7276235554764887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.310066310877228
the lambda is 0.5055614840457873
the regulation term lambda/alpha is 1.6304947242268004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31383507489571044
the lambda is 0.46769196687644915
the regulation term lambda/alpha is 1.490247599099197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3615054482925014
the lambda is 0.5672148995743022
the regulation term lambda/alpha is 1.5690355491277603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29669969964823484
the lambda is 0.5370366552727175
the regulation term lambda/alpha is 1.81003437451883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36947735922135694
the lambda is 0.5557179384555859
the regulation term lambda/alpha is 1.5040649300588151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314095902174759
the lambda is 0.5720822607167257
the regulation term lambda/alpha is 1.7262091309467444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3452100543947896
the lambda is 0.5481740830567929
the regulation term lambda/alpha is 1.5879435609656067
600
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026586939816799
the lambda is 0.5086262226095489
the regulation term lambda/alpha is 1.6805273819107156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3140271809407752
the lambda is 0.5056331855757831
the regulation term lambda/alpha is 1.6101573884814269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29563101055464275
the lambda is 0.46085770970998347
the regulation term lambda/alpha is 1.558895018642847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3261337836524318
the lambda is 0.5441298912817183
the regulation term lambda/alpha is 1.6684254087016326
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32631779828739
the lambda is 0.5013425724627328
the regulation term lambda/alpha is 1.5363629415677704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.42310068339790724
the lambda is 0.585785078330446
the regulation term lambda/alpha is 1.3845051575573595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37148155354037876
the lambda is 0.5732657918059318
the regulation term lambda/alpha is 1.5431877743119748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3585529509480877
the lambda is 0.5183019046062913
the regulation term lambda/alpha is 1.4455379693174872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3396161657225706
the lambda is 0.5455838482225388
the regulation term lambda/alpha is 1.606471962433677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977046911914249
the lambda is 0.5431664889975313
the regulation term lambda/alpha is 1.8245143763901046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31378200724638294
the lambda is 0.503371385892315
the regulation term lambda/alpha is 1.6042072976385344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2797607669057873
the lambda is 0.5323135869427852
the regulation term lambda/alpha is 1.9027456667004636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36637794945302626
the lambda is 0.5603271342146521
the regulation term lambda/alpha is 1.529369152950326
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32840696043687667
the lambda is 0.5236745114555
the regulation term lambda/alpha is 1.5945901717760818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32567853196428337
the lambda is 0.49702042800500035
the regulation term lambda/alpha is 1.5261074317895407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29855209570680946
the lambda is 0.479432149106316
the regulation term lambda/alpha is 1.6058575906870813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30101986754897736
the lambda is 0.46738145734015657
the regulation term lambda/alpha is 1.5526598332055654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133038908597788
the lambda is 0.4718000416447254
the regulation term lambda/alpha is 1.505886314881045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2748086820653683
the lambda is 0.4946195348421439
the regulation term lambda/alpha is 1.7998686618077429
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30644687195991144
the lambda is 0.5029858708636309
the regulation term lambda/alpha is 1.6413477078318168
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3436618534286719
the lambda is 0.5299790279779681
the regulation term lambda/alpha is 1.5421526209279057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3760623123487937
the lambda is 0.5096868576663294
the regulation term lambda/alpha is 1.3553255429477877
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28660901601636796
the lambda is 0.5225645477417088
the regulation term lambda/alpha is 1.8232662566060576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3238781172472503
the lambda is 0.5051393711768426
the regulation term lambda/alpha is 1.5596588478103832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29851908479870254
the lambda is 0.43635449862783937
the regulation term lambda/alpha is 1.4617306592711887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2809772420021957
the lambda is 0.5378399808951141
the regulation term lambda/alpha is 1.9141763121545308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3258991587450615
the lambda is 0.5094133707203407
the regulation term lambda/alpha is 1.5631012141361045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34496565964535947
the lambda is 0.5471086691492861
the regulation term lambda/alpha is 1.5859800935308719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427300993321049
the lambda is 0.5012642444884932
the regulation term lambda/alpha is 1.4625626563448368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3091495623779089
the lambda is 0.5274308666177224
the regulation term lambda/alpha is 1.7060702352636141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29809461697740636
the lambda is 0.5105693190730598
the regulation term lambda/alpha is 1.7127760449017355
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.28735965559917603
the lambda is 0.5186751641043121
the regulation term lambda/alpha is 1.8049686307662716
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3460869095653106
the lambda is 0.5529058746470462
the regulation term lambda/alpha is 1.597592568125454
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3938184998087415
the lambda is 0.5628431784248341
the regulation term lambda/alpha is 1.4291943590719574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3393109082706425
the lambda is 0.5346992084203401
the regulation term lambda/alpha is 1.5758385462628608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2878298819241588
the lambda is 0.5363490861158462
the regulation term lambda/alpha is 1.8634239173859317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34348184227222966
the lambda is 0.5257426730105325
the regulation term lambda/alpha is 1.5306272655712914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073431430026932
the lambda is 0.5002140618688115
the regulation term lambda/alpha is 1.6275426124097003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31923941051472154
the lambda is 0.5562465690461953
the regulation term lambda/alpha is 1.7424119664590858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31211222982648373
the lambda is 0.4997375720980759
the regulation term lambda/alpha is 1.6011470373202004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934972334752819
the lambda is 0.5009411506599452
the regulation term lambda/alpha is 1.706800247240266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35338365680801775
the lambda is 0.5523593309640571
the regulation term lambda/alpha is 1.5630585068741212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34564327819751295
the lambda is 0.49720123732469557
the regulation term lambda/alpha is 1.4384808520435828
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32779670106799225
the lambda is 0.5420332645599739
the regulation term lambda/alpha is 1.6535653433789266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2978318311244243
the lambda is 0.5211740275456708
the regulation term lambda/alpha is 1.7498936415830633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2904717936195434
the lambda is 0.48463625625751594
the regulation term lambda/alpha is 1.6684451533779108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31160000508881863
the lambda is 0.473156204592233
the regulation term lambda/alpha is 1.5184730323010243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35730662483504483
the lambda is 0.5337823056760704
the regulation term lambda/alpha is 1.493905426249787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34330105742452005
the lambda is 0.5813293252466335
the regulation term lambda/alpha is 1.6933513971900527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2892550839014047
the lambda is 0.4353329456728824
the regulation term lambda/alpha is 1.5050139821268265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3162084027664319
the lambda is 0.5098063251612225
the regulation term lambda/alpha is 1.6122478741900863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30226077097931425
the lambda is 0.49976830255119264
the regulation term lambda/alpha is 1.6534342214901423
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30665426492300313
the lambda is 0.551835355436338
the regulation term lambda/alpha is 1.7995358896276776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3096739693271906
the lambda is 0.4898286881003828
the regulation term lambda/alpha is 1.5817560938835227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336261762681636
the lambda is 0.49822275917011205
the regulation term lambda/alpha is 1.4933563209669982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3529251558734454
the lambda is 0.5757020046913349
the regulation term lambda/alpha is 1.6312297242358504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29927768927849235
the lambda is 0.45073079264657906
the regulation term lambda/alpha is 1.5060621248888095
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34911583079875935
the lambda is 0.5649921434992764
the regulation term lambda/alpha is 1.6183515431156559
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3051384627167297
the lambda is 0.5308400337656503
the regulation term lambda/alpha is 1.739669358754183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30861815777970614
the lambda is 0.47592261207379644
the regulation term lambda/alpha is 1.5421082657538039
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31425691772408854
the lambda is 0.48479494502772014
the regulation term lambda/alpha is 1.5426707184004163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018356701518374
the lambda is 0.4667249030579619
the regulation term lambda/alpha is 1.54628809385974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29184842003804046
the lambda is 0.5528275595897828
the regulation term lambda/alpha is 1.894228378956876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3223577721679219
the lambda is 0.528923991298537
the regulation term lambda/alpha is 1.6407980106743356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087389515247989
the lambda is 0.5524789197721459
the regulation term lambda/alpha is 1.789469443500941
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29553007188342284
the lambda is 0.47558098104764307
the regulation term lambda/alpha is 1.6092473365459896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902378549040977
the lambda is 0.5708019091443762
the regulation term lambda/alpha is 1.9666694040754413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35243451504161216
the lambda is 0.4979015017659034
the regulation term lambda/alpha is 1.4127489803520403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32795856919587735
the lambda is 0.49330405298746904
the regulation term lambda/alpha is 1.5041657676364513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35757672030705573
the lambda is 0.5542021358267076
the regulation term lambda/alpha is 1.5498831561260675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32283466980129144
the lambda is 0.5060220015455189
the regulation term lambda/alpha is 1.5674338876211202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28840948162846647
the lambda is 0.48209068592338883
the regulation term lambda/alpha is 1.6715493651641642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3483215250550047
the lambda is 0.47786004755682454
the regulation term lambda/alpha is 1.3718935327966424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193104391814964
the lambda is 0.4800816446796403
the regulation term lambda/alpha is 1.5034949872301588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298372796275096
the lambda is 0.4688541018927829
the regulation term lambda/alpha is 1.571370137445457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3214330166403174
the lambda is 0.4595653361121303
the regulation term lambda/alpha is 1.4297390508156245
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334114343587056
the lambda is 0.5788479501412714
the regulation term lambda/alpha is 1.736137068168182
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36080128955232527
the lambda is 0.5304370103536579
the regulation term lambda/alpha is 1.4701638428504873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311703350320014
the lambda is 0.516950344624928
the regulation term lambda/alpha is 1.5609802266104977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2956059808408667
the lambda is 0.4894342563138115
the regulation term lambda/alpha is 1.6556980847328937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2844255609407003
the lambda is 0.48077009430825124
the regulation term lambda/alpha is 1.6903195785855782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3603758206778526
the lambda is 0.5128844622156579
the regulation term lambda/alpha is 1.4231933242661579
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3673834747005766
the lambda is 0.5581240775850596
the regulation term lambda/alpha is 1.5191866701134003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517840313888092
the lambda is 0.4948458934421275
the regulation term lambda/alpha is 1.4066752589323737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3214947245994036
the lambda is 0.559455556265392
the regulation term lambda/alpha is 1.7401702530655767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40078953697195074
the lambda is 0.5750318611243203
the regulation term lambda/alpha is 1.4347476869501308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35068711207195286
the lambda is 0.5246126333695397
the regulation term lambda/alpha is 1.495956410459422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33646975040547095
the lambda is 0.49203257475323253
the regulation term lambda/alpha is 1.4623382166161947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35057194133324615
the lambda is 0.6049577133698774
the regulation term lambda/alpha is 1.7256307252348457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171713356639829
the lambda is 0.4839595602094927
the regulation term lambda/alpha is 1.525861595267891
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27766191008595337
the lambda is 0.47217166733137156
the regulation term lambda/alpha is 1.7005273326298358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.334752915728567
the lambda is 0.5679903904658522
the regulation term lambda/alpha is 1.6967451627110093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2821195945807082
the lambda is 0.4908005065930236
the regulation term lambda/alpha is 1.7396895360014295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2921013501174004
the lambda is 0.49851168667910983
the regulation term lambda/alpha is 1.7066394471602053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30851280892193766
the lambda is 0.5750100577456677
the regulation term lambda/alpha is 1.8638125909746628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.313536422255971
the lambda is 0.46881992112276344
the regulation term lambda/alpha is 1.4952646258750093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350319344595455
the lambda is 0.47794363874259804
the regulation term lambda/alpha is 1.4265614396239261
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3468921199598986
the lambda is 0.5263933137174122
the regulation term lambda/alpha is 1.5174553800134296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32373943193901833
the lambda is 0.47616591174664424
the regulation term lambda/alpha is 1.4708307508130118
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3572548617111928
the lambda is 0.5145464555741478
the regulation term lambda/alpha is 1.4402783858827106
610
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26214992922834435
the lambda is 0.4696839751945488
the regulation term lambda/alpha is 1.7916616517009738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33115374355078675
the lambda is 0.49826177579775116
the regulation term lambda/alpha is 1.5046237148194468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30383689620751875
the lambda is 0.519163295424283
the regulation term lambda/alpha is 1.7086907544951275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3361658474571164
the lambda is 0.49282369867780745
the regulation term lambda/alpha is 1.4660135834907362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30313115324007245
the lambda is 0.5314259313634078
the regulation term lambda/alpha is 1.7531221244770294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31602647282559443
the lambda is 0.501334301593964
the regulation term lambda/alpha is 1.5863680568008471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137217778444604
the lambda is 0.547757249941792
the regulation term lambda/alpha is 1.7459968947816036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30696624760393443
the lambda is 0.5735303496339075
the regulation term lambda/alpha is 1.868382449571164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29710615863998785
the lambda is 0.49397421183189866
the regulation term lambda/alpha is 1.6626185538969642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33454163764595685
the lambda is 0.5379970307288275
the regulation term lambda/alpha is 1.6081616462288804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3596009817738201
the lambda is 0.5441050150821855
the regulation term lambda/alpha is 1.5130798931589506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3278975339341082
the lambda is 0.5140830399031361
the regulation term lambda/alpha is 1.567816121503501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3226506151098704
the lambda is 0.5748579416868624
the regulation term lambda/alpha is 1.7816731621326967
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3304604438356504
the lambda is 0.5367963911167651
the regulation term lambda/alpha is 1.624389245763202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3083477071759411
the lambda is 0.45393507973130004
the regulation term lambda/alpha is 1.4721532515637865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26879045532585677
the lambda is 0.4594468269392042
the regulation term lambda/alpha is 1.7093122833629386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29423189970710656
the lambda is 0.5043922885023663
the regulation term lambda/alpha is 1.7142678581230115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31700675100930836
the lambda is 0.5392578843374368
the regulation term lambda/alpha is 1.7010927452507232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3424575675193447
the lambda is 0.5016199598142694
the regulation term lambda/alpha is 1.4647652947132903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3238871882038483
the lambda is 0.48596450885974984
the regulation term lambda/alpha is 1.50041288003616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3278778515875915
the lambda is 0.43633760887991396
the regulation term lambda/alpha is 1.3307931803479804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29419044503112896
the lambda is 0.5333537786102126
the regulation term lambda/alpha is 1.8129541173703898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009264419693602
the lambda is 0.4961401562532411
the regulation term lambda/alpha is 1.6487090765648211
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32488742750056615
the lambda is 0.530358191749182
the regulation term lambda/alpha is 1.6324367976604996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30993543350701497
the lambda is 0.5579888532631537
the regulation term lambda/alpha is 1.800339015611535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30517914057369006
the lambda is 0.5026822745823486
the regulation term lambda/alpha is 1.6471711455684124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2776044746473644
the lambda is 0.5179611480627019
the regulation term lambda/alpha is 1.8658242044572875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30920240623813783
the lambda is 0.4967143632238717
the regulation term lambda/alpha is 1.6064375735851102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3470060045380522
the lambda is 0.5046246989877494
the regulation term lambda/alpha is 1.4542246888768549
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34848652156134086
the lambda is 0.5209433443756587
the regulation term lambda/alpha is 1.4948737243599874
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.366590318015042
the lambda is 0.5284470186240543
the regulation term lambda/alpha is 1.4415193000333713
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30511290584094186
the lambda is 0.47680591126257554
the regulation term lambda/alpha is 1.5627195773591394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311023282250531
the lambda is 0.4944539892575572
the regulation term lambda/alpha is 1.4933570292549334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161448394373879
the lambda is 0.5075191301589587
the regulation term lambda/alpha is 1.6053373860605817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29740576466547797
the lambda is 0.46867867946448244
the regulation term lambda/alpha is 1.5758896939729876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3712712857665108
the lambda is 0.4559376607613192
the regulation term lambda/alpha is 1.228044500721379
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.363504185319951
the lambda is 0.5100141586813133
the regulation term lambda/alpha is 1.403048931148912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27667899630389076
the lambda is 0.520313892555272
the regulation term lambda/alpha is 1.8805688162313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28781793641799236
the lambda is 0.5036078717485597
the regulation term lambda/alpha is 1.7497445712249837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2727428123149658
the lambda is 0.46143131994107417
the regulation term lambda/alpha is 1.6918184425267613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125425733296733
the lambda is 0.5216298593978747
the regulation term lambda/alpha is 1.6689881760449123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3525439747633938
the lambda is 0.5436501193899813
the regulation term lambda/alpha is 1.5420774663780497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3396138203020484
the lambda is 0.4974220816959079
the regulation term lambda/alpha is 1.464669727673352
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26976794910085616
the lambda is 0.5264357591672642
the regulation term lambda/alpha is 1.9514392310943116
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217997446527669
the lambda is 0.5218591992256438
the regulation term lambda/alpha is 1.6216892893707795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2786278370501761
the lambda is 0.501984475959412
the regulation term lambda/alpha is 1.8016307389595578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282865190086387
the lambda is 0.5692094083107614
the regulation term lambda/alpha is 1.73387993521532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3409424508616202
the lambda is 0.4768482452068271
the regulation term lambda/alpha is 1.3986179896394526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3234036589136852
the lambda is 0.5516327585513967
the regulation term lambda/alpha is 1.7057097016290241
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217239213336234
the lambda is 0.554818222148727
the regulation term lambda/alpha is 1.7245165353228056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314547963542208
the lambda is 0.5354375923475269
the regulation term lambda/alpha is 1.6154166367087737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3297034857244417
the lambda is 0.6255315673791735
the regulation term lambda/alpha is 1.8972549410714385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014780786529276
the lambda is 0.4917656924047372
the regulation term lambda/alpha is 1.6311822557781244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31271347603030203
the lambda is 0.4924873670546388
the regulation term lambda/alpha is 1.5748837348055849
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24877347862190055
the lambda is 0.43784935488543264
the regulation term lambda/alpha is 1.7600322884534645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3395919793267665
the lambda is 0.5701459976841755
the regulation term lambda/alpha is 1.6789147930244914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3808314910272171
the lambda is 0.5061352985657014
the regulation term lambda/alpha is 1.3290269068886669
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.344654962625346
the lambda is 0.5850662788099906
the regulation term lambda/alpha is 1.6975420123167688
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2932536419808837
the lambda is 0.505275205875105
the regulation term lambda/alpha is 1.72299720631617
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30235133493527994
the lambda is 0.5096782256452366
the regulation term lambda/alpha is 1.6857151490809068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31067346692801445
the lambda is 0.574080167831348
the regulation term lambda/alpha is 1.8478570877260239
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3315992645110915
the lambda is 0.4982816135107374
the regulation term lambda/alpha is 1.5026619984981018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3893548999379483
the lambda is 0.5660680184248925
the regulation term lambda/alpha is 1.4538612934243464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2801030180566983
the lambda is 0.4946572157056129
the regulation term lambda/alpha is 1.7659831698260553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31333581150227335
the lambda is 0.48312896065197103
the regulation term lambda/alpha is 1.5418887433761008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28602242770039327
the lambda is 0.5179575847128634
the regulation term lambda/alpha is 1.810898497985692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28604430210367165
the lambda is 0.459156406244175
the regulation term lambda/alpha is 1.6051933314782894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33433728938873253
the lambda is 0.5649915855067098
the regulation term lambda/alpha is 1.6898850455469132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3085590104666785
the lambda is 0.5267233789219483
the regulation term lambda/alpha is 1.7070426111534005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3721304379344044
the lambda is 0.44920002235353207
the regulation term lambda/alpha is 1.2071036834474496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30104275484567283
the lambda is 0.570892976284855
the regulation term lambda/alpha is 1.8963850386551198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29159162542834755
the lambda is 0.5019876127963707
the regulation term lambda/alpha is 1.7215433127030033
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30919156763618105
the lambda is 0.42929239205934205
the regulation term lambda/alpha is 1.3884349930412108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.300287027392506
the lambda is 0.5575984124134947
the regulation term lambda/alpha is 1.8568847853845392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3049623693997969
the lambda is 0.45614125187055365
the regulation term lambda/alpha is 1.4957296297516813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33999141318769177
the lambda is 0.47722731049756534
the regulation term lambda/alpha is 1.4036451862803743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098204847369559
the lambda is 0.47987569923320816
the regulation term lambda/alpha is 1.5488830560723985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33154043514938153
the lambda is 0.4808556588494129
the regulation term lambda/alpha is 1.4503680633487577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32773653515864426
the lambda is 0.4485616437081462
the regulation term lambda/alpha is 1.3686653625327896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2828377943240923
the lambda is 0.5102751274524161
the regulation term lambda/alpha is 1.8041263851312341
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29329930545477795
the lambda is 0.49220130314983745
the regulation term lambda/alpha is 1.6781536607686478
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2942479564105923
the lambda is 0.4932919491920886
the regulation term lambda/alpha is 1.6764498731258854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2976360059250849
the lambda is 0.5170345028225884
the regulation term lambda/alpha is 1.7371369475799452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885635416940649
the lambda is 0.47416690354237073
the regulation term lambda/alpha is 1.6431975458808394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3642860198294711
the lambda is 0.5011299637135581
the regulation term lambda/alpha is 1.3756497269594539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35784203875162673
the lambda is 0.5888642734987575
the regulation term lambda/alpha is 1.6455983638844627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32280964759990766
the lambda is 0.5319510802579005
the regulation term lambda/alpha is 1.6478785073896058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34112253435351847
the lambda is 0.4884089489979484
the regulation term lambda/alpha is 1.43176981820788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3565818664315367
the lambda is 0.5334422447153147
the regulation term lambda/alpha is 1.495988144472105
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.29696822389056216
the lambda is 0.4329911606109981
the regulation term lambda/alpha is 1.4580386916095196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29139778788614085
the lambda is 0.44959066467724396
the regulation term lambda/alpha is 1.5428760387601657
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3148568550801581
the lambda is 0.5329373405378313
the regulation term lambda/alpha is 1.6926337538439586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3522728527244862
the lambda is 0.5319020408340287
the regulation term lambda/alpha is 1.5099149330420618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090661764514831
the lambda is 0.5667684678546853
the regulation term lambda/alpha is 1.833809426712392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27687641866046364
the lambda is 0.5016942827369488
the regulation term lambda/alpha is 1.8119790958152402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3236991230758332
the lambda is 0.5264095430624662
the regulation term lambda/alpha is 1.6262309828350814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3508441902954481
the lambda is 0.508299213477743
the regulation term lambda/alpha is 1.4487890281144487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27016517658833183
the lambda is 0.4258978421363863
the regulation term lambda/alpha is 1.5764350073338815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3480658156977927
the lambda is 0.576315371736394
the regulation term lambda/alpha is 1.6557655068223605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3331575688499392
the lambda is 0.5859032805837504
the regulation term lambda/alpha is 1.7586371596067594
620
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3926518584742054
the lambda is 0.5923385857663299
the regulation term lambda/alpha is 1.5085592312438847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37400899606187205
the lambda is 0.5201816165919482
the regulation term lambda/alpha is 1.3908264829701982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30305959792240345
the lambda is 0.5043560837313519
the regulation term lambda/alpha is 1.664214191495394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3237204370652284
the lambda is 0.5416377500135806
the regulation term lambda/alpha is 1.6731651387967288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3165454952086265
the lambda is 0.49868863658129176
the regulation term lambda/alpha is 1.575409045870704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35064852561105636
the lambda is 0.5324130893915993
the regulation term lambda/alpha is 1.5183668274771485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3199058581820803
the lambda is 0.552137813316055
the regulation term lambda/alpha is 1.7259384259284045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3344968110993676
the lambda is 0.5107246840927618
the regulation term lambda/alpha is 1.5268447026869951
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3413133856950085
the lambda is 0.4769587853272099
the regulation term lambda/alpha is 1.3974218572060684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308483500630943
the lambda is 0.47511240434317786
the regulation term lambda/alpha is 1.5401549949071114
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3570838749523996
the lambda is 0.527988314997961
the regulation term lambda/alpha is 1.4786114748764374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32079332226112833
the lambda is 0.49352095948913377
the regulation term lambda/alpha is 1.538439004934784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.341280150297526
the lambda is 0.5321811553252475
the regulation term lambda/alpha is 1.5593674430267774
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31946262778364276
the lambda is 0.5837372297365492
the regulation term lambda/alpha is 1.827247317742241
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30463730092496477
the lambda is 0.4848682582373616
the regulation term lambda/alpha is 1.5916247181982142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3227448173174192
the lambda is 0.4693249485566991
the regulation term lambda/alpha is 1.4541672658220208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3183844674251024
the lambda is 0.511000863564213
the regulation term lambda/alpha is 1.6049805057918607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3109127687360312
the lambda is 0.5099149571421449
the regulation term lambda/alpha is 1.6400579468483296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27979082287354506
the lambda is 0.4602853055888421
the regulation term lambda/alpha is 1.6451050855119498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3241217717526796
the lambda is 0.46832159962974945
the regulation term lambda/alpha is 1.4448939887540206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137404319883847
the lambda is 0.5025331908404009
the regulation term lambda/alpha is 1.6017482593987304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33190492509981573
the lambda is 0.552476558006961
the regulation term lambda/alpha is 1.664562699215179
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3205727517571744
the lambda is 0.4746534438873614
the regulation term lambda/alpha is 1.4806418863912025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3443894881008449
the lambda is 0.473275019859348
the regulation term lambda/alpha is 1.3742435126845758
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3174658055039086
the lambda is 0.5112567657517578
the regulation term lambda/alpha is 1.6104309720546053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32530353539760565
the lambda is 0.5189151518223414
the regulation term lambda/alpha is 1.5951721864568484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31202669548052603
the lambda is 0.5264134047929308
the regulation term lambda/alpha is 1.6870781007447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28474595588555895
the lambda is 0.5854228997148707
the regulation term lambda/alpha is 2.055948074465913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2864256523945891
the lambda is 0.5005832370731846
the regulation term lambda/alpha is 1.7476899603376488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3401360292855212
the lambda is 0.52354697582916
the regulation term lambda/alpha is 1.5392282226875698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28224160746487537
the lambda is 0.4579512858564623
the regulation term lambda/alpha is 1.6225505869592731
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300843307474604
the lambda is 0.5164244292811729
the regulation term lambda/alpha is 1.5645227027643334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33190397035552666
the lambda is 0.5783995202492682
the regulation term lambda/alpha is 1.7426712902219943
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28648456369650943
the lambda is 0.44718579950441656
the regulation term lambda/alpha is 1.5609420407661048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31278842475641105
the lambda is 0.5284784917141275
the regulation term lambda/alpha is 1.6895717676435391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3181864998087299
the lambda is 0.5197444754404831
the regulation term lambda/alpha is 1.6334586029040041
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28490172220459875
the lambda is 0.48452457779569214
the regulation term lambda/alpha is 1.700672688274368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.372600200852542
the lambda is 0.5847618973361636
the regulation term lambda/alpha is 1.5694084329481761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35511155395365535
the lambda is 0.5060414477247359
the regulation term lambda/alpha is 1.425021073211203
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28131733104466894
the lambda is 0.4680324329311676
the regulation term lambda/alpha is 1.6637170244475663
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27193529207182704
the lambda is 0.5385945834866441
the regulation term lambda/alpha is 1.9805983231642608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2816043395213553
the lambda is 0.5072359644604564
the regulation term lambda/alpha is 1.8012363208699433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2961911820087737
the lambda is 0.48654796638910897
the regulation term lambda/alpha is 1.6426821456646086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133990194502066
the lambda is 0.5466442836835519
the regulation term lambda/alpha is 1.7442437587792252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308067501153499
the lambda is 0.4894356347271138
the regulation term lambda/alpha is 1.5887285510302678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980901099151958
the lambda is 0.5757325766606526
the regulation term lambda/alpha is 1.9314044898183431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3025929718884579
the lambda is 0.47314132838088685
the regulation term lambda/alpha is 1.5636229930525176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2871476675463359
the lambda is 0.48253596762200196
the regulation term lambda/alpha is 1.6804453671703148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32344801401553247
the lambda is 0.5211718041099419
the regulation term lambda/alpha is 1.6113000591338131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3059291235794915
the lambda is 0.4857467505724045
the regulation term lambda/alpha is 1.5877754457927242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196210741918744
the lambda is 0.44881887073482596
the regulation term lambda/alpha is 1.4042217706376636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31622343439324735
the lambda is 0.4866818842297026
the regulation term lambda/alpha is 1.5390443316243207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3436470629701178
the lambda is 0.4836280301746545
the regulation term lambda/alpha is 1.4073393381997532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3768940203509053
the lambda is 0.5511987625261422
the regulation term lambda/alpha is 1.4624768045217362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32683826751907774
the lambda is 0.5213070735454959
the regulation term lambda/alpha is 1.5950001127547493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3644905544590538
the lambda is 0.5031104428663136
the regulation term lambda/alpha is 1.3803113323827767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2935530619596126
the lambda is 0.5434576132277837
the regulation term lambda/alpha is 1.85130963921798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29098931946763046
the lambda is 0.5075910996542775
the regulation term lambda/alpha is 1.7443633346506442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3434475306897102
the lambda is 0.5580957833686084
the regulation term lambda/alpha is 1.6249812081858395
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37249351286581395
the lambda is 0.5696759118633206
the regulation term lambda/alpha is 1.5293579409758449
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3239839396355266
the lambda is 0.5728990274559185
the regulation term lambda/alpha is 1.768294527501625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29900624041879864
the lambda is 0.5343518788282838
the regulation term lambda/alpha is 1.787092731174613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32175176500492114
the lambda is 0.5256850501942487
the regulation term lambda/alpha is 1.6338218072749606
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3783217762923107
the lambda is 0.5330633316299447
the regulation term lambda/alpha is 1.4090210107759507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29354411722771195
the lambda is 0.485632340798791
the regulation term lambda/alpha is 1.6543759942634781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2970943356546679
the lambda is 0.5016794494144311
the regulation term lambda/alpha is 1.6886200415398218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009369155614261
the lambda is 0.5065770681182514
the regulation term lambda/alpha is 1.683333090502321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089627990713593
the lambda is 0.46485786366101056
the regulation term lambda/alpha is 1.5045755186650969
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30778170220639317
the lambda is 0.5127819333798733
the regulation term lambda/alpha is 1.6660572402579361
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32703739752198563
the lambda is 0.4931085446489428
the regulation term lambda/alpha is 1.5078047598999524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934909506328198
the lambda is 0.5319692419182087
the regulation term lambda/alpha is 1.8125575618981995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3175723555116705
the lambda is 0.5526906440678974
the regulation term lambda/alpha is 1.740361320737146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31905066033952756
the lambda is 0.5211148340949712
the regulation term lambda/alpha is 1.6333294328255294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2743024485007342
the lambda is 0.4529423197855702
the regulation term lambda/alpha is 1.6512514644372847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2979951319707242
the lambda is 0.47079333728179285
the regulation term lambda/alpha is 1.579869221917507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3379428806851793
the lambda is 0.5379141076041595
the regulation term lambda/alpha is 1.5917308466849145
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427758890225609
the lambda is 0.5057457824347782
the regulation term lambda/alpha is 1.475441530840843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3685710760224286
the lambda is 0.5538924379627655
the regulation term lambda/alpha is 1.5028103776897013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336946633393855
the lambda is 0.45525122264279033
the regulation term lambda/alpha is 1.3642748076548508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2969597409479391
the lambda is 0.5109387773656375
the regulation term lambda/alpha is 1.7205658104854413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31861237088935
the lambda is 0.5013717082417012
the regulation term lambda/alpha is 1.5736102990672045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112237940873992
the lambda is 0.48681056384008664
the regulation term lambda/alpha is 1.5641817016837036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31278691360465627
the lambda is 0.4781663953645341
the regulation term lambda/alpha is 1.5287289031820157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2641822580219911
the lambda is 0.4273322097121429
the regulation term lambda/alpha is 1.6175658914860622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26050130679443273
the lambda is 0.5128464353583762
the regulation term lambda/alpha is 1.9686904517645067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32276143940496793
the lambda is 0.48565873746853777
the regulation term lambda/alpha is 1.5046987594425214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431707924112534
the lambda is 0.5041544981905699
the regulation term lambda/alpha is 1.4691066644925737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336765396823164
the lambda is 0.5438903755689113
the regulation term lambda/alpha is 1.615042343125618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3370857652628557
the lambda is 0.46481900939364756
the regulation term lambda/alpha is 1.378933960712304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2962795929135826
the lambda is 0.5179768259661874
the regulation term lambda/alpha is 1.7482703444825796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977996087148795
the lambda is 0.48487099562773894
the regulation term lambda/alpha is 1.6281787532231653
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3378760954812377
the lambda is 0.46839786134957595
the regulation term lambda/alpha is 1.3863006812673024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32852855680422505
the lambda is 0.4899344906009733
the regulation term lambda/alpha is 1.4912995551036143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3184727924746658
the lambda is 0.5090684728801399
the regulation term lambda/alpha is 1.598467702451021
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3776629700247348
the lambda is 0.5221832838799895
the regulation term lambda/alpha is 1.3826700665034473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28548237447935776
the lambda is 0.552372561052179
the regulation term lambda/alpha is 1.9348744806384506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29306447715789546
the lambda is 0.5276493602714001
the regulation term lambda/alpha is 1.8004548534454976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28730693758310866
the lambda is 0.48432080646089914
the regulation term lambda/alpha is 1.6857261106714512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3086645984779136
the lambda is 0.5438297336029527
the regulation term lambda/alpha is 1.7618791927700328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3263365858693036
the lambda is 0.5260983097034886
the regulation term lambda/alpha is 1.6121340128078336
630
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124816228348718
the lambda is 0.5349391261170883
the regulation term lambda/alpha is 1.7119058755009482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3036045622376649
the lambda is 0.4715493430070206
the regulation term lambda/alpha is 1.5531694897189547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3598452774523898
the lambda is 0.5108349488801299
the regulation term lambda/alpha is 1.4195960900104272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2633380036128159
the lambda is 0.4733888097487526
the regulation term lambda/alpha is 1.7976471426614633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133306640767119
the lambda is 0.49953508493971027
the regulation term lambda/alpha is 1.5942744908535682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2800439923603387
the lambda is 0.48587419610283117
the regulation term lambda/alpha is 1.7349923917583856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.365796042013028
the lambda is 0.5459496694535468
the regulation term lambda/alpha is 1.4924974760500622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219015828149294
the lambda is 0.536282727991366
the regulation term lambda/alpha is 1.6659835074488918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151855167364362
the lambda is 0.5419882486883267
the regulation term lambda/alpha is 1.7195848790905803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3187165629130454
the lambda is 0.5674589939458313
the regulation term lambda/alpha is 1.7804502808366744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3698597775693148
the lambda is 0.5678481186075306
the regulation term lambda/alpha is 1.5353064946379877
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35419686035001535
the lambda is 0.5242021810642999
the regulation term lambda/alpha is 1.47997410407954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156446724708237
the lambda is 0.5129225544492264
the regulation term lambda/alpha is 1.6249998786107753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3242637019816451
the lambda is 0.5213365430103195
the regulation term lambda/alpha is 1.6077548607023233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30762245222394274
the lambda is 0.48412356293388037
the regulation term lambda/alpha is 1.5737588704398224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34669505619563085
the lambda is 0.5155712365441105
the regulation term lambda/alpha is 1.4871029376697755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3612121382202013
the lambda is 0.5426264739064676
the regulation term lambda/alpha is 1.5022376506508008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33426656448118813
the lambda is 0.47873302664866274
the regulation term lambda/alpha is 1.4321893887044899
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32957256911766564
the lambda is 0.5764447778264019
the regulation term lambda/alpha is 1.7490678285807115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32616695260813144
the lambda is 0.5290631590869227
the regulation term lambda/alpha is 1.6220624280184448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29282474450939855
the lambda is 0.4535604142450928
the regulation term lambda/alpha is 1.5489142319751439
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3045313096109033
the lambda is 0.5016023578271362
the regulation term lambda/alpha is 1.6471290208813956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3252946200133647
the lambda is 0.510451529145863
the regulation term lambda/alpha is 1.5691975758003351
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3176569690220403
the lambda is 0.520292986426682
the regulation term lambda/alpha is 1.637908300984204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2738343730778641
the lambda is 0.5324806630808558
the regulation term lambda/alpha is 1.944535512820541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224409965251132
the lambda is 0.49086772136328904
the regulation term lambda/alpha is 1.5223489774975247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32142142421458597
the lambda is 0.5767870111967756
the regulation term lambda/alpha is 1.7944883811220484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30761531620706306
the lambda is 0.5689685701146585
the regulation term lambda/alpha is 1.8496106667578036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137529798352818
the lambda is 0.5218140629985023
the regulation term lambda/alpha is 1.663136596415598
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32679603013495007
the lambda is 0.44901899358644404
the regulation term lambda/alpha is 1.3740038194497715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482142552377562
the lambda is 0.5027070843938907
the regulation term lambda/alpha is 1.443671753330859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29537415716154203
the lambda is 0.5355607276970316
the regulation term lambda/alpha is 1.8131604093046296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3457310393724096
the lambda is 0.4538356772471366
the regulation term lambda/alpha is 1.3126842127654044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099126016721121
the lambda is 0.4952896790454488
the regulation term lambda/alpha is 1.598159211252293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3505340844997792
the lambda is 0.5290995437249049
the regulation term lambda/alpha is 1.509409689730866
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3835385134451643
the lambda is 0.5861441902890483
the regulation term lambda/alpha is 1.5282537991399165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29619211319487326
the lambda is 0.4686990383857889
the regulation term lambda/alpha is 1.5824156603299508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33690018771842184
the lambda is 0.4970392796023516
the regulation term lambda/alpha is 1.4753309666237782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3122046175647811
the lambda is 0.49318099710077007
the regulation term lambda/alpha is 1.579672334597797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35825403586704885
the lambda is 0.5201736161370312
the regulation term lambda/alpha is 1.4519686146119846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28934004440420547
the lambda is 0.4435055298084508
the regulation term lambda/alpha is 1.5328176600017298
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3310416587638638
the lambda is 0.532164468085256
the regulation term lambda/alpha is 1.607545316418486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072135138025542
the lambda is 0.52594529649179
the regulation term lambda/alpha is 1.7119862013290683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3074480529920185
the lambda is 0.5606531087332405
the regulation term lambda/alpha is 1.8235702040623927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2820701539261933
the lambda is 0.531928126213143
the regulation term lambda/alpha is 1.885800815184182
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39751290289255864
the lambda is 0.5497939506393976
the regulation term lambda/alpha is 1.3830845404985461
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3032776093001418
the lambda is 0.45930655111216206
the regulation term lambda/alpha is 1.5144756389107665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30995688630660784
the lambda is 0.5637403266373444
the regulation term lambda/alpha is 1.8187701307584283
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3514252408414191
the lambda is 0.5411918540522707
the regulation term lambda/alpha is 1.539991415404575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3121287791631474
the lambda is 0.4811000092068117
the regulation term lambda/alpha is 1.5413510106203447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32417679373055364
the lambda is 0.49184733271227105
the regulation term lambda/alpha is 1.5172194377401373
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30266455255798896
the lambda is 0.5005390400870213
the regulation term lambda/alpha is 1.6537748998245199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3106872286792029
the lambda is 0.5380781281801046
the regulation term lambda/alpha is 1.731896513633948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2927908462306565
the lambda is 0.5246070488920689
the regulation term lambda/alpha is 1.7917467559036695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3722335503562615
the lambda is 0.5541434364013291
the regulation term lambda/alpha is 1.4886982537467761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2995332517883299
the lambda is 0.5005600401798007
the regulation term lambda/alpha is 1.671133462449537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3380635204338467
the lambda is 0.5966032703409277
the regulation term lambda/alpha is 1.7647667798503948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.316050482836969
the lambda is 0.5318576486906651
the regulation term lambda/alpha is 1.682824983896695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34504159122987316
the lambda is 0.4957408832618907
the regulation term lambda/alpha is 1.436756889205333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31721653269781014
the lambda is 0.48289814041856527
the regulation term lambda/alpha is 1.5222981485602087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33004806096008527
the lambda is 0.5275589321497982
the regulation term lambda/alpha is 1.5984306364811491
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3568593036581886
the lambda is 0.48248797500201496
the regulation term lambda/alpha is 1.352039781661844
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3233051129973214
the lambda is 0.523692177800691
the regulation term lambda/alpha is 1.619807905125923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28553781294370784
the lambda is 0.5062370523972396
the regulation term lambda/alpha is 1.7729247386826534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3146095084874401
the lambda is 0.4996602010731958
the regulation term lambda/alpha is 1.5881916712416952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3543212211186647
the lambda is 0.47376612314085925
the regulation term lambda/alpha is 1.3371090832354962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215219045206948
the lambda is 0.5035286773751757
the regulation term lambda/alpha is 1.5660789212038462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211043999890013
the lambda is 0.46179233232455813
the regulation term lambda/alpha is 1.4381376659440848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3653851965747662
the lambda is 0.5702012132497937
the regulation term lambda/alpha is 1.560548206646126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002312964630761
the lambda is 0.44694586094523314
the regulation term lambda/alpha is 1.4886717880865585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3205039423886476
the lambda is 0.5281781666517066
the regulation term lambda/alpha is 1.647961528071409
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30539505344701273
the lambda is 0.5104117384638678
the regulation term lambda/alpha is 1.671316325208346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.338618946863893
the lambda is 0.582296993764553
the regulation term lambda/alpha is 1.7196231904843937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3049937951683465
the lambda is 0.5108425909883759
the regulation term lambda/alpha is 1.6749278151918063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35350589311300895
the lambda is 0.5350650313632531
the regulation term lambda/alpha is 1.5135957894546421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31392510639535653
the lambda is 0.5178870061996229
the regulation term lambda/alpha is 1.6497151570521322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40518718991503855
the lambda is 0.5254981143169324
the regulation term lambda/alpha is 1.2969267721102467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30053300924614634
the lambda is 0.5487727099004777
the regulation term lambda/alpha is 1.82599812006346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34181825685648143
the lambda is 0.45384180473907093
the regulation term lambda/alpha is 1.3277283926049175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300384543643067
the lambda is 0.48647753199424454
the regulation term lambda/alpha is 1.474002576249056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33064579319044823
the lambda is 0.5667557552641216
the regulation term lambda/alpha is 1.7140873010825717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27876283120733236
the lambda is 0.5046746459304352
the regulation term lambda/alpha is 1.8104086679873004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311838800208253
the lambda is 0.5668415302044324
the regulation term lambda/alpha is 1.7115613542808563
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26535537144754756
the lambda is 0.5247210150883719
the regulation term lambda/alpha is 1.9774275237993166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2993720580020049
the lambda is 0.5260191081074801
the regulation term lambda/alpha is 1.757074830624164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31933413833770563
the lambda is 0.5136871304225181
the regulation term lambda/alpha is 1.608619526545196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129866133723237
the lambda is 0.5202631313233803
the regulation term lambda/alpha is 1.6622536207466607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2750092330392905
the lambda is 0.46809332203749754
the regulation term lambda/alpha is 1.7021003871918046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161861815495484
the lambda is 0.5034105668552215
the regulation term lambda/alpha is 1.5921333575937244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3183294276597456
the lambda is 0.5008526010850396
the regulation term lambda/alpha is 1.5733782602731547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40346527524840503
the lambda is 0.51146928493905
the regulation term lambda/alpha is 1.2676909670210135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40146604960003474
the lambda is 0.49480112225306544
the regulation term lambda/alpha is 1.232485593105611
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300277767829564
the lambda is 0.48463001149430807
the regulation term lambda/alpha is 1.468452189747126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3369148902499976
the lambda is 0.49191782408313905
the regulation term lambda/alpha is 1.460065548655704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33393446646243374
the lambda is 0.5675583413629816
the regulation term lambda/alpha is 1.69960994854908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28727098070724344
the lambda is 0.505039532119737
the regulation term lambda/alpha is 1.7580596928947043
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3237699176774353
the lambda is 0.527563567337704
the regulation term lambda/alpha is 1.6294397302942263
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365136895636498
the lambda is 0.5157597022653881
the regulation term lambda/alpha is 1.5326559312762666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217330938867316
the lambda is 0.5057554020380275
the regulation term lambda/alpha is 1.5719719595152442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33958605444845374
the lambda is 0.48736306797477796
the regulation term lambda/alpha is 1.4351680865291703
640
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123851390262573
the lambda is 0.5164721247077859
the regulation term lambda/alpha is 1.653318484732317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28751209483020906
the lambda is 0.5328911279182827
the regulation term lambda/alpha is 1.8534563849669796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30153346385787233
the lambda is 0.4908067201842445
the regulation term lambda/alpha is 1.62770232499165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089227325048146
the lambda is 0.4484810789580249
the regulation term lambda/alpha is 1.4517580992555648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3772892364430061
the lambda is 0.5080983020727671
the regulation term lambda/alpha is 1.346707652895158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058837261295811
the lambda is 0.5485846158513596
the regulation term lambda/alpha is 1.7934416544244773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4073906080788441
the lambda is 0.5539776833637228
the regulation term lambda/alpha is 1.3598194763893747
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3303983348978902
the lambda is 0.4759746409319681
the regulation term lambda/alpha is 1.4406084736446034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29575797203626053
the lambda is 0.4801302644162184
the regulation term lambda/alpha is 1.6233890877414912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28244828250745757
the lambda is 0.49540105108686283
the regulation term lambda/alpha is 1.7539531367969377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32128358085664244
the lambda is 0.4682067105484118
the regulation term lambda/alpha is 1.457300461168997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2983740381859383
the lambda is 0.5162964670433573
the regulation term lambda/alpha is 1.7303665901441998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3309851921446765
the lambda is 0.4633737199965298
the regulation term lambda/alpha is 1.3999832348813515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31868709617678
the lambda is 0.5085198422906159
the regulation term lambda/alpha is 1.5956712662395753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936169519390565
the lambda is 0.5737917908871366
the regulation term lambda/alpha is 1.954218879726786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32257421178076373
the lambda is 0.47564392073988226
the regulation term lambda/alpha is 1.4745255614641375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27672862410841764
the lambda is 0.44846146493259814
the regulation term lambda/alpha is 1.620582136659988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2967028770505167
the lambda is 0.5321061808194657
the regulation term lambda/alpha is 1.7933974422798376
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29047004478276855
the lambda is 0.46452574726470086
the regulation term lambda/alpha is 1.5992208339834213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32095694305792366
the lambda is 0.4786029138146658
the regulation term lambda/alpha is 1.4911748263015188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30175812120163353
the lambda is 0.5181118997396922
the regulation term lambda/alpha is 1.7169774840740473
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3220106784510529
the lambda is 0.5006475729923665
the regulation term lambda/alpha is 1.5547545671485152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456033101396154
the lambda is 0.5583958421812426
the regulation term lambda/alpha is 1.6157132347941463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32254127002412125
the lambda is 0.4825194121258961
the regulation term lambda/alpha is 1.4959927828454662
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3623584551952778
the lambda is 0.5729789358358023
the regulation term lambda/alpha is 1.5812489749329002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31844293579547495
the lambda is 0.5129110959834289
the regulation term lambda/alpha is 1.6106844848109747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32873499538188045
the lambda is 0.5185873619231204
the regulation term lambda/alpha is 1.5775240519211982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3437790977412075
the lambda is 0.5756652323436735
the regulation term lambda/alpha is 1.674520749301131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39369065422558347
the lambda is 0.5448073170125957
the regulation term lambda/alpha is 1.383846203015078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3003724870647833
the lambda is 0.4723502151479669
the regulation term lambda/alpha is 1.5725482042770849
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3488515094599807
the lambda is 0.5399522641958748
the regulation term lambda/alpha is 1.5477997071926577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29625794093880575
the lambda is 0.48243865438880296
the regulation term lambda/alpha is 1.6284412591946495
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073495123148852
the lambda is 0.520147465364373
the regulation term lambda/alpha is 1.6923647005220308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35225871256215086
the lambda is 0.5255833183218038
the regulation term lambda/alpha is 1.4920378107867875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34040188336684457
the lambda is 0.52119476520355
the regulation term lambda/alpha is 1.531115985753429
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3032532482693078
the lambda is 0.5299484274651164
the regulation term lambda/alpha is 1.747544108726213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2786482122777144
the lambda is 0.4843695077929825
the regulation term lambda/alpha is 1.7382832060312527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.280787103413132
the lambda is 0.5114268019298465
the regulation term lambda/alpha is 1.8214041731730324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3473321835267726
the lambda is 0.42911548339553557
the regulation term lambda/alpha is 1.2354613357113768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116562830156769
the lambda is 0.5205101770951385
the regulation term lambda/alpha is 1.6701417730408978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40101666562389493
the lambda is 0.46410699202276545
the regulation term lambda/alpha is 1.1573259462938172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28992471661544544
the lambda is 0.5852351680255324
the regulation term lambda/alpha is 2.018576321665549
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31701928746010194
the lambda is 0.5001030902893959
the regulation term lambda/alpha is 1.577516290242548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33310825658052207
the lambda is 0.5734036996059458
the regulation term lambda/alpha is 1.7213734222385968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169706228866698
the lambda is 0.5238592280795416
the regulation term lambda/alpha is 1.6527059299966833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3103026770418863
the lambda is 0.5185287979591058
the regulation term lambda/alpha is 1.6710419739276436
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178297411901257
the lambda is 0.44823494433153394
the regulation term lambda/alpha is 1.4102989312866094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.294896802872394
the lambda is 0.49140140310891467
the regulation term lambda/alpha is 1.6663503921456584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34369395879344694
the lambda is 0.5775193050798968
the regulation term lambda/alpha is 1.6803301027091202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31615135495014557
the lambda is 0.48863453686921576
the regulation term lambda/alpha is 1.5455715410306223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30053340950595864
the lambda is 0.513275402814934
the regulation term lambda/alpha is 1.7078813422397796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30754242903548024
the lambda is 0.5446758636436019
the regulation term lambda/alpha is 1.7710592497816433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32055898255632115
the lambda is 0.6097004205101418
the regulation term lambda/alpha is 1.9019913765886112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387305951611161
the lambda is 0.547626578304728
the regulation term lambda/alpha is 1.6167024358819766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2932483221618335
the lambda is 0.4773993555679414
the regulation term lambda/alpha is 1.6279696062659188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37651824445519844
the lambda is 0.4641189463990457
the regulation term lambda/alpha is 1.232659912856549
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30668399290379644
the lambda is 0.48961401567823737
the regulation term lambda/alpha is 1.5964772437008936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32906021555656106
the lambda is 0.4640560649591165
the regulation term lambda/alpha is 1.4102466449012323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066492365911946
the lambda is 0.5729119104075149
the regulation term lambda/alpha is 1.8682972009849967
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.292386599569667
the lambda is 0.4834120646267551
the regulation term lambda/alpha is 1.653331805692321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3518869529099747
the lambda is 0.5370677657558985
the regulation term lambda/alpha is 1.5262508635644123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35529362613676074
the lambda is 0.5149984647000954
the regulation term lambda/alpha is 1.4495009952749913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32970751550144406
the lambda is 0.5302821718879086
the regulation term lambda/alpha is 1.6083411719669642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875016322469548
the lambda is 0.4816310898452949
the regulation term lambda/alpha is 1.6752290624617707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32822290712952823
the lambda is 0.4698107024943898
the regulation term lambda/alpha is 1.431376946243993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28954830674919424
the lambda is 0.5060203063274521
the regulation term lambda/alpha is 1.7476196355924996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30543966820088214
the lambda is 0.48857010488005126
the regulation term lambda/alpha is 1.5995633696102876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36963323409330795
the lambda is 0.5555927961842031
the regulation term lambda/alpha is 1.5030921057383944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28287126425832554
the lambda is 0.5160598475639614
the regulation term lambda/alpha is 1.8243629267788821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27436805634563105
the lambda is 0.47809915838597633
the regulation term lambda/alpha is 1.742546726298553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360058686815091
the lambda is 0.5168517453453321
the regulation term lambda/alpha is 1.5382223750241752
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3076705661579806
the lambda is 0.5557861142219023
the regulation term lambda/alpha is 1.8064325137183288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3003339593366846
the lambda is 0.4865232832881203
the regulation term lambda/alpha is 1.6199409629289077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3016772813293368
the lambda is 0.5110980424083944
the regulation term lambda/alpha is 1.694188041460225
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3404191200064228
the lambda is 0.5138206151848518
the regulation term lambda/alpha is 1.5093764861831418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2991205237805893
the lambda is 0.470741486654686
the regulation term lambda/alpha is 1.5737518800280788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29792362109662923
the lambda is 0.5260806165247516
the regulation term lambda/alpha is 1.7658237859364678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.316610306971141
the lambda is 0.5016348448798825
the regulation term lambda/alpha is 1.5843920233639346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35095675508785956
the lambda is 0.4873766428472115
the regulation term lambda/alpha is 1.3887085396752092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3382864561610449
the lambda is 0.5842063642224603
the regulation term lambda/alpha is 1.7269575934318298
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3176817932302676
the lambda is 0.4504343250867952
the regulation term lambda/alpha is 1.4178789426572636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.286541921043062
the lambda is 0.4928765286707996
the regulation term lambda/alpha is 1.7200852387554466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933434647967083
the lambda is 0.5057233480911408
the regulation term lambda/alpha is 1.7239973232115984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3007220720104369
the lambda is 0.5273652901568334
the regulation term lambda/alpha is 1.7536633963420238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30028317018301465
the lambda is 0.5095024455081646
the regulation term lambda/alpha is 1.6967399311710887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33296774621632214
the lambda is 0.5160191447941058
the regulation term lambda/alpha is 1.54975714812587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32258896851978053
the lambda is 0.4976415206783968
the regulation term lambda/alpha is 1.5426489100413314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28562359697546097
the lambda is 0.5328518077293372
the regulation term lambda/alpha is 1.8655734798239254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3621121356801981
the lambda is 0.5596892650006837
the regulation term lambda/alpha is 1.545624158520269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2678786359054084
the lambda is 0.468197571023073
the regulation term lambda/alpha is 1.7477973539793594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3977629576889952
the lambda is 0.49937135717372727
the regulation term lambda/alpha is 1.2554496277759934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3132817209265091
the lambda is 0.5145084701503317
the regulation term lambda/alpha is 1.642318832483135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29486468247277553
the lambda is 0.5183825548080032
the regulation term lambda/alpha is 1.7580354163163125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3191301443097341
the lambda is 0.56958093770205
the regulation term lambda/alpha is 1.784792028763159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298803586135086
the lambda is 0.4868383761546409
the regulation term lambda/alpha is 1.4758028583478835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32383854912776144
the lambda is 0.5157199066607203
the regulation term lambda/alpha is 1.592521668744438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3276303767773391
the lambda is 0.4669248687288676
the regulation term lambda/alpha is 1.4251574390679729
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28157339231938033
the lambda is 0.49056926189226585
the regulation term lambda/alpha is 1.7422429649738627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3438816905944992
the lambda is 0.4888069840283098
the regulation term lambda/alpha is 1.4214394002287973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2929321671465866
the lambda is 0.4688665302410363
the regulation term lambda/alpha is 1.600597622337632
650
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3435468116999493
the lambda is 0.551967422975942
the regulation term lambda/alpha is 1.6066731058998314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30959764956281743
the lambda is 0.5007773287480854
the regulation term lambda/alpha is 1.6175101117700108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33435017936454375
the lambda is 0.5512868163536261
the regulation term lambda/alpha is 1.6488306284189402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2816521882028181
the lambda is 0.5784112434620032
the regulation term lambda/alpha is 2.0536366046106784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31817346743109337
the lambda is 0.5118130347671637
the regulation term lambda/alpha is 1.6085974701143384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35225388455376
the lambda is 0.5451841874774034
the regulation term lambda/alpha is 1.5477024140359732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2931488800045355
the lambda is 0.4691323251588878
the regulation term lambda/alpha is 1.6003210558117418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29725454748079705
the lambda is 0.5129098896485689
the regulation term lambda/alpha is 1.72549047271246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2716676438528169
the lambda is 0.5147260027041523
the regulation term lambda/alpha is 1.8946901272608623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33348380659782484
the lambda is 0.5170643862707406
the regulation term lambda/alpha is 1.5504932354760794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33280153977520555
the lambda is 0.5416344784579755
the regulation term lambda/alpha is 1.6274999172895308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2969355343174391
the lambda is 0.5023648347466175
the regulation term lambda/alpha is 1.6918313124813285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2747122088409248
the lambda is 0.5283296523334814
the regulation term lambda/alpha is 1.923211402080119
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2733092113288013
the lambda is 0.4186681860851134
the regulation term lambda/alpha is 1.5318480634062486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3343631608021479
the lambda is 0.45011610092427967
the regulation term lambda/alpha is 1.346189274692932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30372905493471436
the lambda is 0.49872645014669403
the regulation term lambda/alpha is 1.6420110030431359
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33082062064100365
the lambda is 0.5188940908394621
the regulation term lambda/alpha is 1.5685058864651307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098619020158
the lambda is 0.545813895639472
the regulation term lambda/alpha is 1.7614746830400618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36360416353339686
the lambda is 0.5152522654343549
the regulation term lambda/alpha is 1.4170692118244383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29753799227379457
the lambda is 0.4840506126063844
the regulation term lambda/alpha is 1.626853125233704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3576866779274985
the lambda is 0.5362313599849385
the regulation term lambda/alpha is 1.499165032066501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3018008432999682
the lambda is 0.49999430693645
the regulation term lambda/alpha is 1.6567028159013188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2968377272817013
the lambda is 0.5345391153143741
the regulation term lambda/alpha is 1.8007788976469705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38847747725648163
the lambda is 0.5236881143676371
the regulation term lambda/alpha is 1.3480527058249154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3674133740521339
the lambda is 0.5311972798468139
the regulation term lambda/alpha is 1.4457755687778526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36890737923364486
the lambda is 0.5601206932423946
the regulation term lambda/alpha is 1.5183233645419874
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2913166789406155
the lambda is 0.4974610820531744
the regulation term lambda/alpha is 1.70762993681725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2659149041233918
the lambda is 0.478842581533284
the regulation term lambda/alpha is 1.8007361532134654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.395581206087751
the lambda is 0.5668529700296963
the regulation term lambda/alpha is 1.4329623382157148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30030586071776844
the lambda is 0.48580087345567885
the regulation term lambda/alpha is 1.6176869552081141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31528620407170765
the lambda is 0.47356582278382797
the regulation term lambda/alpha is 1.5020188535624024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3514520271085191
the lambda is 0.5522172542592211
the regulation term lambda/alpha is 1.5712450396216124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3092034876799858
the lambda is 0.4582278601136105
the regulation term lambda/alpha is 1.4819621329364159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34698748766720094
the lambda is 0.5705986033823247
the regulation term lambda/alpha is 1.6444356746649935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28589360683015896
the lambda is 0.513325492673334
the regulation term lambda/alpha is 1.7955123179032322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35032824336132645
the lambda is 0.4497836934551628
the regulation term lambda/alpha is 1.2838921839118138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31571808987268746
the lambda is 0.5116361659442898
the regulation term lambda/alpha is 1.620547514875077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3038740771240546
the lambda is 0.5181408712955856
the regulation term lambda/alpha is 1.7051170544042753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206623092175891
the lambda is 0.4986222330578727
the regulation term lambda/alpha is 1.554976118878776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33559992032544317
the lambda is 0.5542017068189289
the regulation term lambda/alpha is 1.6513761573051025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29596344781391276
the lambda is 0.4956848848813053
the regulation term lambda/alpha is 1.6748179160048424
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.32189540956083657
the lambda is 0.48699242213226895
the regulation term lambda/alpha is 1.512890235982784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35462078228976757
the lambda is 0.536082608489373
the regulation term lambda/alpha is 1.5117066885587358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3122625588082285
the lambda is 0.4775288994400321
the regulation term lambda/alpha is 1.5292544237854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31939755920201424
the lambda is 0.5241293336141348
the regulation term lambda/alpha is 1.6409935471129595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33173542035992637
the lambda is 0.5272728373396468
the regulation term lambda/alpha is 1.5894378621600498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3451727994167752
the lambda is 0.5267811012762421
the regulation term lambda/alpha is 1.526137349658847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27444138359653647
the lambda is 0.519492665419798
the regulation term lambda/alpha is 1.8929093659705414
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27473023850037076
the lambda is 0.552240935818852
the regulation term lambda/alpha is 2.0101206872359145
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4133714637363165
the lambda is 0.5373980714225135
the regulation term lambda/alpha is 1.3000366947567328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3737185923825231
the lambda is 0.4989167019481677
the regulation term lambda/alpha is 1.3350063714183558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3395738212786157
the lambda is 0.5134016250198197
the regulation term lambda/alpha is 1.5118998958361418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3094745725594883
the lambda is 0.5477949014845951
the regulation term lambda/alpha is 1.770080484978442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2968825754730839
the lambda is 0.49075358387333756
the regulation term lambda/alpha is 1.6530225227644946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31770472252216975
the lambda is 0.5187117942066708
the regulation term lambda/alpha is 1.6326851867002845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2897255803335445
the lambda is 0.5191669698863114
the regulation term lambda/alpha is 1.791926585455879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32187589299199104
the lambda is 0.5144306811748444
the regulation term lambda/alpha is 1.598226808453917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2731251314160818
the lambda is 0.47882027030095387
the regulation term lambda/alpha is 1.7531168509408013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29369331772243534
the lambda is 0.49018895317236966
the regulation term lambda/alpha is 1.6690504127698236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3001367682184808
the lambda is 0.4983619666784223
the regulation term lambda/alpha is 1.660449566497784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29045043103127777
the lambda is 0.49063915953565435
the regulation term lambda/alpha is 1.6892354326815195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3175178402376511
the lambda is 0.5282634171320796
the regulation term lambda/alpha is 1.6637283018072078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.371005649778555
the lambda is 0.49579339533257627
the regulation term lambda/alpha is 1.3363499871996674
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31731872496959035
the lambda is 0.5171505429330879
the regulation term lambda/alpha is 1.629751105872016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34492906776627913
the lambda is 0.46397301567076893
the regulation term lambda/alpha is 1.3451258795769365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36371760023605926
the lambda is 0.5314190401494561
the regulation term lambda/alpha is 1.4610759550941597
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3841097099573969
the lambda is 0.5194138164482328
the regulation term lambda/alpha is 1.3522538040130332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301578730797124
the lambda is 0.5425990298970061
the regulation term lambda/alpha is 1.6434532511239026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29668946765078197
the lambda is 0.5112016956548744
the regulation term lambda/alpha is 1.7230193565771732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3028448056769516
the lambda is 0.5227656245263675
the regulation term lambda/alpha is 1.7261832289242176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31518163812431327
the lambda is 0.5134455868409792
the regulation term lambda/alpha is 1.6290466344948276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2606929061179619
the lambda is 0.498476205480936
the regulation term lambda/alpha is 1.912120329255828
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28231042820830327
the lambda is 0.5158050817762386
the regulation term lambda/alpha is 1.8270847628612958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28842205384506686
the lambda is 0.42543020325354075
the regulation term lambda/alpha is 1.4750266062596977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30392744016621376
the lambda is 0.520416832278194
the regulation term lambda/alpha is 1.712306174110456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142489194870971
the lambda is 0.4564805249857083
the regulation term lambda/alpha is 1.4526080972076378
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31184418032395006
the lambda is 0.5225557583235088
the regulation term lambda/alpha is 1.6756950788072018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3600366040877172
the lambda is 0.5330349711756354
the regulation term lambda/alpha is 1.4805021631794135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3710168907702062
the lambda is 0.4934596257991977
the regulation term lambda/alpha is 1.3300193012097337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2637422432184698
the lambda is 0.5690063271539029
the regulation term lambda/alpha is 2.1574334100228643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3359091101393127
the lambda is 0.5337492147650471
the regulation term lambda/alpha is 1.588969154613531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28658781412462647
the lambda is 0.5578999419427748
the regulation term lambda/alpha is 1.946698060581755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3168435570755175
the lambda is 0.5485909747603225
the regulation term lambda/alpha is 1.7314253754245337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3580875393578926
the lambda is 0.5034981061659735
the regulation term lambda/alpha is 1.4060754726869997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34375809305981514
the lambda is 0.6157012948833086
the regulation term lambda/alpha is 1.791088871255096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32165657199242975
the lambda is 0.5480800918435297
the regulation term lambda/alpha is 1.7039294065983792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330031278412824
the lambda is 0.47664689306163655
the regulation term lambda/alpha is 1.4442476342057995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3259595221690273
the lambda is 0.5423753893766107
the regulation term lambda/alpha is 1.6639347909442581
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.320762414588166
the lambda is 0.4800631497513458
the regulation term lambda/alpha is 1.4966315500764313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161707064738678
the lambda is 0.4536299132143515
the regulation term lambda/alpha is 1.434762626409999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3248518982665291
the lambda is 0.516555892141561
the regulation term lambda/alpha is 1.5901273623395782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2806483847666578
the lambda is 0.4505763943746986
the regulation term lambda/alpha is 1.6054836543931141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32976250555965986
the lambda is 0.5171486644562975
the regulation term lambda/alpha is 1.5682458003483848
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2785878616138802
the lambda is 0.44850012335186157
the regulation term lambda/alpha is 1.609905473819523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2886719279153165
the lambda is 0.5235765891335534
the regulation term lambda/alpha is 1.813742655597421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28928280950915813
the lambda is 0.4214733907000373
the regulation term lambda/alpha is 1.4569596838995518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2925611152981597
the lambda is 0.5104603088146983
the regulation term lambda/alpha is 1.744798888582543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35542240424635907
the lambda is 0.5031149087460453
the regulation term lambda/alpha is 1.415540783966207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2966218489317137
the lambda is 0.4958587962787782
the regulation term lambda/alpha is 1.671686688167504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33809069323299656
the lambda is 0.5808294555861733
the regulation term lambda/alpha is 1.7179693709755337
660
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3423706333601451
the lambda is 0.47822022779871215
the regulation term lambda/alpha is 1.396791024701189
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26798862273502316
the lambda is 0.47055813638201033
the regulation term lambda/alpha is 1.755888483546856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30733465468795873
the lambda is 0.5165383710645539
the regulation term lambda/alpha is 1.6807033088702694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3285558590845542
the lambda is 0.5504673805655463
the regulation term lambda/alpha is 1.675414896265426
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3050582053833144
the lambda is 0.5066511747240202
the regulation term lambda/alpha is 1.6608344433397504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3259028532832653
the lambda is 0.4664941352125019
the regulation term lambda/alpha is 1.4313901535775715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32197286815397647
the lambda is 0.5304447660148877
the regulation term lambda/alpha is 1.6474828113815294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29567127907953217
the lambda is 0.43585829224432193
the regulation term lambda/alpha is 1.4741313177296502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300793452567257
the lambda is 0.5273746242099928
the regulation term lambda/alpha is 1.597720765592942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427858545469396
the lambda is 0.5531610706885578
the regulation term lambda/alpha is 1.6137219880898275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29553925874640835
the lambda is 0.5467496217897785
the regulation term lambda/alpha is 1.850006743973479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.267635537297004
the lambda is 0.47815674241638256
the regulation term lambda/alpha is 1.7865966053893516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224494773448903
the lambda is 0.4682666441590287
the regulation term lambda/alpha is 1.4522170977445037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387787714393991
the lambda is 0.5396037734934724
the regulation term lambda/alpha is 1.5927909862852696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3085877768158096
the lambda is 0.5002425580340495
the regulation term lambda/alpha is 1.621070553071955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34519907220610785
the lambda is 0.5404551144091807
the regulation term lambda/alpha is 1.5656331604694795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28243935093387806
the lambda is 0.5105375780328241
the regulation term lambda/alpha is 1.8076007339088742
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3088197294162426
the lambda is 0.5097650191841717
the regulation term lambda/alpha is 1.6506879924665858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3378321983152691
the lambda is 0.5358621447621914
the regulation term lambda/alpha is 1.5861784265516288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31942450790879123
the lambda is 0.5375782010733745
the regulation term lambda/alpha is 1.6829585324958067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32955881438872414
the lambda is 0.5490321530825347
the regulation term lambda/alpha is 1.665961064039196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3182280320302076
the lambda is 0.5020849211774406
the regulation term lambda/alpha is 1.577752022580401
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36095505808519723
the lambda is 0.603404669052356
the regulation term lambda/alpha is 1.6716891910403227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046443204466051
the lambda is 0.48555006233363673
the regulation term lambda/alpha is 1.5938260776430226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30629070408281023
the lambda is 0.5077770424890788
the regulation term lambda/alpha is 1.657827141733279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26903210091716795
the lambda is 0.48528142144235004
the regulation term lambda/alpha is 1.80380489832982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3003761229988788
the lambda is 0.47510010387335594
the regulation term lambda/alpha is 1.5816839871627524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2957552934687992
the lambda is 0.44300619756761134
the regulation term lambda/alpha is 1.49788087432608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34152836064157716
the lambda is 0.4837668632648306
the regulation term lambda/alpha is 1.416476401421105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124243619205307
the lambda is 0.5344416521361522
the regulation term lambda/alpha is 1.7106273302467194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36622553845742545
the lambda is 0.48887194395216643
the regulation term lambda/alpha is 1.33489309896666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28426371877438317
the lambda is 0.5107259499425348
the regulation term lambda/alpha is 1.796662451840687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34484108374794203
the lambda is 0.5328941124154079
the regulation term lambda/alpha is 1.5453324372594803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29614752597719207
the lambda is 0.5158555030569989
the regulation term lambda/alpha is 1.7418869239404948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2901134659832003
the lambda is 0.5307456569393539
the regulation term lambda/alpha is 1.8294416467041485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3251162520553353
the lambda is 0.49940094839296206
the regulation term lambda/alpha is 1.5360688530204982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3366051792317081
the lambda is 0.4791534702603233
the regulation term lambda/alpha is 1.4234881095827987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235865810879417
the lambda is 0.5073436289340302
the regulation term lambda/alpha is 1.567875983077767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35131801442125743
the lambda is 0.5352155402135811
the regulation term lambda/alpha is 1.5234503163615638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517082064648005
the lambda is 0.5331362591991726
the regulation term lambda/alpha is 1.5158482213366544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30980925630053824
the lambda is 0.46980530441988627
the regulation term lambda/alpha is 1.516434047290504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30464838154013035
the lambda is 0.5240029504036443
the regulation term lambda/alpha is 1.720025387151512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3174715045353005
the lambda is 0.5394568603124951
the regulation term lambda/alpha is 1.6992292303591974
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33700015843481346
the lambda is 0.5034170164830978
the regulation term lambda/alpha is 1.493818337715929
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34536046469083453
the lambda is 0.5835767821074379
the regulation term lambda/alpha is 1.689761399382682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27791325422913615
the lambda is 0.48987373834964987
the regulation term lambda/alpha is 1.7626857693723195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27989238559809554
the lambda is 0.4889590539356821
the regulation term lambda/alpha is 1.7469537547112504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3162913986519748
the lambda is 0.5430604831272179
the regulation term lambda/alpha is 1.716962539739388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31925845123594654
the lambda is 0.491455326453351
the regulation term lambda/alpha is 1.5393651273780788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33347601860191217
the lambda is 0.4973449286390468
the regulation term lambda/alpha is 1.4913963850358714
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3369086598718459
the lambda is 0.4989335371609369
the regulation term lambda/alpha is 1.480916333081858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3191751280544027
the lambda is 0.5143212801418131
the regulation term lambda/alpha is 1.611407766253479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34958417239164674
the lambda is 0.501942027594476
the regulation term lambda/alpha is 1.4358259533333204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3400328757657574
the lambda is 0.501492755443375
the regulation term lambda/alpha is 1.4748360855226377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2633264404657107
the lambda is 0.5347928831427436
the regulation term lambda/alpha is 2.0309122099433923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32433474884835095
the lambda is 0.4953201272184497
the regulation term lambda/alpha is 1.527187971616468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30096679528736037
the lambda is 0.5007390074284412
the regulation term lambda/alpha is 1.6637682803192297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29957224270275484
the lambda is 0.5460619377311267
the regulation term lambda/alpha is 1.8228055203129976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3695919429117545
the lambda is 0.543387932668701
the regulation term lambda/alpha is 1.470237495946828
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33582704286418874
the lambda is 0.5075496159433296
the regulation term lambda/alpha is 1.5113423017234109
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33177817095987755
the lambda is 0.5486939330760048
the regulation term lambda/alpha is 1.6537975704928436
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24622351160050018
the lambda is 0.4784087135983062
the regulation term lambda/alpha is 1.9429855032468573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31174372492351354
the lambda is 0.49586294972738576
the regulation term lambda/alpha is 1.5906108450107406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32699001436477687
the lambda is 0.5159905882031119
the regulation term lambda/alpha is 1.578001056715737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2917814396669142
the lambda is 0.5399807741015242
the regulation term lambda/alpha is 1.8506344156706618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3279722134998426
the lambda is 0.5498575751445508
the regulation term lambda/alpha is 1.6765370739092038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336449415621776
the lambda is 0.4814687140404107
the regulation term lambda/alpha is 1.4310285341130151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3205089455582201
the lambda is 0.516984342276431
the regulation term lambda/alpha is 1.613010648972733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2929742587963698
the lambda is 0.502315036299169
the regulation term lambda/alpha is 1.714536418191949
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2981689985592307
the lambda is 0.4895585369918498
the regulation term lambda/alpha is 1.641882755609819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3017651408858724
the lambda is 0.529708856153895
the regulation term lambda/alpha is 1.7553679480633944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31554502002502843
the lambda is 0.5193208734207296
the regulation term lambda/alpha is 1.645790110645822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321509752233605
the lambda is 0.5055293514916978
the regulation term lambda/alpha is 1.572360863020996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2994403244290481
the lambda is 0.4937064705854418
the regulation term lambda/alpha is 1.64876414533282
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31103116514855156
the lambda is 0.49699950515066804
the regulation term lambda/alpha is 1.5979090227607775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2735178242027215
the lambda is 0.5110416651804276
the regulation term lambda/alpha is 1.8684035187471437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3121157395573533
the lambda is 0.5027635734869681
the regulation term lambda/alpha is 1.610824158371488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32075481828724056
the lambda is 0.5642524008785774
the regulation term lambda/alpha is 1.7591392824324816
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2938040283138982
the lambda is 0.5631964056632892
the regulation term lambda/alpha is 1.9169117894516208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32963959512452123
the lambda is 0.5014379934117192
the regulation term lambda/alpha is 1.5211703958752323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37087459875225604
the lambda is 0.537453575027267
the regulation term lambda/alpha is 1.449151753275736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2815112982364469
the lambda is 0.5199862597499386
the regulation term lambda/alpha is 1.8471239449622086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3532851112940279
the lambda is 0.5735740229048838
the regulation term lambda/alpha is 1.6235442835503942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37845150421790574
the lambda is 0.5506185732836222
the regulation term lambda/alpha is 1.4549250489082102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31556782971361863
the lambda is 0.47701548940083366
the regulation term lambda/alpha is 1.5116100073753735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193077178971756
the lambda is 0.5120201190836171
the regulation term lambda/alpha is 1.6035319235487422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2616654649583326
the lambda is 0.5229997485237712
the regulation term lambda/alpha is 1.998734332813286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3302597164229661
the lambda is 0.4579438995011678
the regulation term lambda/alpha is 1.386617491412957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32826229193455336
the lambda is 0.5159048796220882
the regulation term lambda/alpha is 1.5716239491953152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100379294357245
the lambda is 0.47625452222610826
the regulation term lambda/alpha is 1.5361169618598003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2835422231575044
the lambda is 0.47011103368288504
the regulation term lambda/alpha is 1.6579930440262645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29064929440533027
the lambda is 0.5175819884819449
the regulation term lambda/alpha is 1.780778410423875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28967643252928993
the lambda is 0.4690256960906131
the regulation term lambda/alpha is 1.6191365379480387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.346535679527779
the lambda is 0.4882166466690213
the regulation term lambda/alpha is 1.4088495803211656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35051389812673944
the lambda is 0.5229779954048678
the regulation term lambda/alpha is 1.4920321225487283
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29263484635273207
the lambda is 0.511184171046022
the regulation term lambda/alpha is 1.7468328786444591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35614413343029383
the lambda is 0.5506280483365233
the regulation term lambda/alpha is 1.5460820399679414
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2998519073529917
the lambda is 0.4807039563164559
the regulation term lambda/alpha is 1.6031378975040553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35295874342677946
the lambda is 0.5043795388510263
the regulation term lambda/alpha is 1.429004234189367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.283583351629862
the lambda is 0.49948793926794044
the regulation term lambda/alpha is 1.761344368056842
670
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31979913536858656
the lambda is 0.4691821109774
the regulation term lambda/alpha is 1.4671150077896273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29576783362361114
the lambda is 0.47255410549760757
the regulation term lambda/alpha is 1.5977197374984715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3252456415985127
the lambda is 0.49526897810277265
the regulation term lambda/alpha is 1.5227536199059628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3013295367812597
the lambda is 0.4610172540031336
the regulation term lambda/alpha is 1.5299437915301146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35792742136504724
the lambda is 0.5181946830452532
the regulation term lambda/alpha is 1.4477646922635488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3252709249660739
the lambda is 0.5269758587308442
the regulation term lambda/alpha is 1.6201136292332563
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3097924654771203
the lambda is 0.49276152600595347
the regulation term lambda/alpha is 1.5906181748062762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33725881488883774
the lambda is 0.503257698750824
the regulation term lambda/alpha is 1.4922002821978142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3101246571752511
the lambda is 0.4511724041651175
the regulation term lambda/alpha is 1.4548098441271649
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28716527432498246
the lambda is 0.5154365087049552
the regulation term lambda/alpha is 1.79491238944734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38825012546740134
the lambda is 0.512184116400858
the regulation term lambda/alpha is 1.3192117215268293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32675032748696037
the lambda is 0.5897415288938739
the regulation term lambda/alpha is 1.8048689757393088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30272034488322824
the lambda is 0.5332526002518612
the regulation term lambda/alpha is 1.7615353882394615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3476557282323538
the lambda is 0.5058258292104809
the regulation term lambda/alpha is 1.4549618721438555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2851028561251956
the lambda is 0.4456583026244983
the regulation term lambda/alpha is 1.56314920405006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3015001755291011
the lambda is 0.48368065330920557
the regulation term lambda/alpha is 1.6042466723622861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3391267790781333
the lambda is 0.5612504231355037
the regulation term lambda/alpha is 1.654987036591982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30523147534183065
the lambda is 0.4697608723500757
the regulation term lambda/alpha is 1.5390315557200893
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2922884260502823
the lambda is 0.5630170808516072
the regulation term lambda/alpha is 1.9262380261158594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35219373558462197
the lambda is 0.562605871788898
the regulation term lambda/alpha is 1.5974329323461804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2972361194177407
the lambda is 0.5175533672627326
the regulation term lambda/alpha is 1.741219634668135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3042604306362333
the lambda is 0.4821942999168356
the regulation term lambda/alpha is 1.584807787553998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31892195305555193
the lambda is 0.4585981096518373
the regulation term lambda/alpha is 1.4379634429617194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3034529327839798
the lambda is 0.5009497447843614
the regulation term lambda/alpha is 1.650831778715991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35321432789346574
the lambda is 0.4845047163698369
the regulation term lambda/alpha is 1.371701763230766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3305518254107241
the lambda is 0.4924506695606304
the regulation term lambda/alpha is 1.4897835428642403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31459836752112214
the lambda is 0.5293447281563214
the regulation term lambda/alpha is 1.6826048155535365
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453122652417601
the lambda is 0.5477225785082066
the regulation term lambda/alpha is 1.5861660115800837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971039971553533
the lambda is 0.5192111127283783
the regulation term lambda/alpha is 1.7475736365030692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2887958717947159
the lambda is 0.4601202413565696
the regulation term lambda/alpha is 1.5932369063905312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3433908557905944
the lambda is 0.5175971787086883
the regulation term lambda/alpha is 1.5073120614030788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29976458954533863
the lambda is 0.5008963501292435
the regulation term lambda/alpha is 1.6709657097556687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32898796111064
the lambda is 0.5123849234221085
the regulation term lambda/alpha is 1.5574579741226195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35921693214335393
the lambda is 0.5944514567691858
the regulation term lambda/alpha is 1.6548536652274397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2940520830374659
the lambda is 0.5288316057605517
the regulation term lambda/alpha is 1.7984283610504876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27221856554700113
the lambda is 0.4790274555708188
the regulation term lambda/alpha is 1.7597163316478874
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.307481906480784
the lambda is 0.5630656028885205
the regulation term lambda/alpha is 1.8312154016896898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33250136982857936
the lambda is 0.5238455390017163
the regulation term lambda/alpha is 1.575468814675212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33143720187523396
the lambda is 0.5186021201940338
the regulation term lambda/alpha is 1.5647070312561235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387211092241524
the lambda is 0.5309280163411428
the regulation term lambda/alpha is 1.5674488594975504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3768998975190153
the lambda is 0.5716717726703242
the regulation term lambda/alpha is 1.516773489283006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2921256180915777
the lambda is 0.5116002709013264
the regulation term lambda/alpha is 1.751302313859191
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3287015085852795
the lambda is 0.5367117093309443
the regulation term lambda/alpha is 1.6328239917149567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3216624876274028
the lambda is 0.49885334710100326
the regulation term lambda/alpha is 1.5508595695462295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32078691735084275
the lambda is 0.48218990900056946
the regulation term lambda/alpha is 1.5031470515775467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2804883820616239
the lambda is 0.5327152181720363
the regulation term lambda/alpha is 1.8992416522086022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3544856734675162
the lambda is 0.5503929823922902
the regulation term lambda/alpha is 1.5526522609741695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31635491508272406
the lambda is 0.5097089728071652
the regulation term lambda/alpha is 1.6111934681776028
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36603950060415835
the lambda is 0.504376022312554
the regulation term lambda/alpha is 1.3779278506283266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.289248385581478
the lambda is 0.4548317290969746
the regulation term lambda/alpha is 1.5724607353732445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31333616165947986
the lambda is 0.5102488638018389
the regulation term lambda/alpha is 1.6284391214198737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211257038892089
the lambda is 0.4964494350648794
the regulation term lambda/alpha is 1.5459660471033445
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171559119184891
the lambda is 0.5005240164071125
the regulation term lambda/alpha is 1.578163917485953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31879044121990197
the lambda is 0.5353675193942373
the regulation term lambda/alpha is 1.6793713053175903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387766313496382
the lambda is 0.5355475634995929
the regulation term lambda/alpha is 1.5808279377655037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30504474532475223
the lambda is 0.48836064131590506
the regulation term lambda/alpha is 1.6009475619584719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28867665771936873
the lambda is 0.4422401839079291
the regulation term lambda/alpha is 1.5319568523543183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2966499123218957
the lambda is 0.49089430412212176
the regulation term lambda/alpha is 1.6547933565186794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012833870564011
the lambda is 0.4951027332637569
the regulation term lambda/alpha is 1.6433124245615052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323248110507468
the lambda is 0.5451849144769327
the regulation term lambda/alpha is 1.6865834532521957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31736945385471504
the lambda is 0.5042249290565216
the regulation term lambda/alpha is 1.5887632629173727
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30318964669424653
the lambda is 0.47229362630167476
the regulation term lambda/alpha is 1.557749848819746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3496503069711685
the lambda is 0.5326157654518491
the regulation term lambda/alpha is 1.5232812751277451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322594057712222
the lambda is 0.5152045489599544
the regulation term lambda/alpha is 1.5970676974451754
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.342065368016431
the lambda is 0.46233048109126
the regulation term lambda/alpha is 1.3515851773367835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27294595243668535
the lambda is 0.5528611916084534
the regulation term lambda/alpha is 2.0255335778855317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27632401009683943
the lambda is 0.5254155639607554
the regulation term lambda/alpha is 1.9014473761314492
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31695746330256125
the lambda is 0.5223337012323942
the regulation term lambda/alpha is 1.6479615144249968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29620542891107454
the lambda is 0.5416273147299231
the regulation term lambda/alpha is 1.8285529631279243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33929678654785345
the lambda is 0.5173196631073732
the regulation term lambda/alpha is 1.524681882109166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31013312214237876
the lambda is 0.4933919207783192
the regulation term lambda/alpha is 1.590903665400203
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33768464945856713
the lambda is 0.528840031594435
the regulation term lambda/alpha is 1.5660766115438187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3519126092972243
the lambda is 0.49379881177757806
the regulation term lambda/alpha is 1.4031859010784042
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3031654187094177
the lambda is 0.4849820804044226
the regulation term lambda/alpha is 1.5997275760177485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246862603711964
the lambda is 0.49957312737278387
the regulation term lambda/alpha is 1.5386334081449848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30708270121160774
the lambda is 0.500519464072051
the regulation term lambda/alpha is 1.6299174850853868
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32772209713182665
the lambda is 0.5273668320980827
the regulation term lambda/alpha is 1.609189116979038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268240934308774
the lambda is 0.4856694556226496
the regulation term lambda/alpha is 1.4860270873064247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3241905712110631
the lambda is 0.5957480790874481
the regulation term lambda/alpha is 1.8376477664416355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28056011953555515
the lambda is 0.48859489750631646
the regulation term lambda/alpha is 1.741498037266117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34130588295047076
the lambda is 0.5422816621813672
the regulation term lambda/alpha is 1.588843583630996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2976989271077131
the lambda is 0.5054369063726325
the regulation term lambda/alpha is 1.6978123209350897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112771228992298
the lambda is 0.5179766874988342
the regulation term lambda/alpha is 1.664037121245558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29823287828477557
the lambda is 0.5200437678809684
the regulation term lambda/alpha is 1.743750624920673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28883254594571023
the lambda is 0.48698374976536185
the regulation term lambda/alpha is 1.6860418141967168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31202071125767417
the lambda is 0.5310082469984896
the regulation term lambda/alpha is 1.7018365378956215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3953205679172981
the lambda is 0.5892524535018134
the regulation term lambda/alpha is 1.4905686709047892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29869472769860705
the lambda is 0.47372261014220823
the regulation term lambda/alpha is 1.5859758014216112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4012161699354443
the lambda is 0.5942294140559123
the regulation term lambda/alpha is 1.4810704517505462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3515002291661748
the lambda is 0.5186471420943782
the regulation term lambda/alpha is 1.4755243355735717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29717862597433353
the lambda is 0.49144550074567867
the regulation term lambda/alpha is 1.653704061435843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27426997087214855
the lambda is 0.5064639400828654
the regulation term lambda/alpha is 1.8465891051519983
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2733541794783138
the lambda is 0.4638795235948981
the regulation term lambda/alpha is 1.6969907849230428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31258728495835414
the lambda is 0.5478053658376987
the regulation term lambda/alpha is 1.7524876800752869
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34862319565920413
the lambda is 0.4925926834810614
the regulation term lambda/alpha is 1.4129658887143997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224031226820195
the lambda is 0.5337385339820928
the regulation term lambda/alpha is 1.6555005098648183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34108732522165985
the lambda is 0.5256631954377706
the regulation term lambda/alpha is 1.5411396336588052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3064562343391775
the lambda is 0.47945579387310616
the regulation term lambda/alpha is 1.5645163653040826
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117078325222555
the lambda is 0.546147880208873
the regulation term lambda/alpha is 1.752114715211331
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34720037196063785
the lambda is 0.5930015602290841
the regulation term lambda/alpha is 1.707951972748211
680
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3340027791473434
the lambda is 0.4959600326441574
the regulation term lambda/alpha is 1.4848979218384513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32123497247302824
the lambda is 0.524733597021074
the regulation term lambda/alpha is 1.6334883869630106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36171865926182917
the lambda is 0.5153969403679792
the regulation term lambda/alpha is 1.424855829720718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31822328535217803
the lambda is 0.5295452568604786
the regulation term lambda/alpha is 1.6640682226457135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3507025895349377
the lambda is 0.5321805956446418
the regulation term lambda/alpha is 1.5174698206544748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32479784097751513
the lambda is 0.5335217825351667
the regulation term lambda/alpha is 1.642627244471434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27908183973675244
the lambda is 0.4892475448969934
the regulation term lambda/alpha is 1.7530612001070456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36101456163707435
the lambda is 0.4941738509457932
the regulation term lambda/alpha is 1.3688474190760844
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3850294548519185
the lambda is 0.5884088717551312
the regulation term lambda/alpha is 1.5282178138330536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31396071309825213
the lambda is 0.5174563336943259
the regulation term lambda/alpha is 1.6481563205406244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28814416698344714
the lambda is 0.505944367056417
the regulation term lambda/alpha is 1.7558723202801523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34320581923988347
the lambda is 0.5199046299251765
the regulation term lambda/alpha is 1.5148479448181777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2832723580256897
the lambda is 0.49658712616142137
the regulation term lambda/alpha is 1.7530377112064934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2800483754857717
the lambda is 0.5159593855476449
the regulation term lambda/alpha is 1.842393781619558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3721772968148773
the lambda is 0.5564781049237174
the regulation term lambda/alpha is 1.4951962671718586
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2901962831564392
the lambda is 0.468693261794209
the regulation term lambda/alpha is 1.6150905059715928
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2965265145746988
the lambda is 0.5079542270755715
the regulation term lambda/alpha is 1.7130145268935515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2800081905193236
the lambda is 0.4732482721789189
the regulation term lambda/alpha is 1.690122961407658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3075699877306861
the lambda is 0.4859683935318482
the regulation term lambda/alpha is 1.580025402079773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3321914259753724
the lambda is 0.5103715121174304
the regulation term lambda/alpha is 1.5363777394882783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2896093483698981
the lambda is 0.48861610638137437
the regulation term lambda/alpha is 1.6871558502224129
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141837010849038
the lambda is 0.5051299523860882
the regulation term lambda/alpha is 1.6077535233108218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33509744828813115
the lambda is 0.5254919910057589
the regulation term lambda/alpha is 1.5681766414225822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24824442267794275
the lambda is 0.4694327168076699
the regulation term lambda/alpha is 1.8910101251969855
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481718171149465
the lambda is 0.5500109061529116
the regulation term lambda/alpha is 1.5797111630414629
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.311149489210665
the lambda is 0.509397305779673
the regulation term lambda/alpha is 1.6371465274519013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31349711236497396
the lambda is 0.5681462653745306
the regulation term lambda/alpha is 1.8122854819571468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33595674593397407
the lambda is 0.5178037019402398
the regulation term lambda/alpha is 1.5412808589413005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35871814204679847
the lambda is 0.5397282575708412
the regulation term lambda/alpha is 1.5046026233611236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33468516319954883
the lambda is 0.48135094759259717
the regulation term lambda/alpha is 1.4382201558949956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30187847781835886
the lambda is 0.5634780949729439
the regulation term lambda/alpha is 1.8665725991635291
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29168757846325805
the lambda is 0.4532246395906882
the regulation term lambda/alpha is 1.5538016461944673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35727587376015335
the lambda is 0.5258820740208798
the regulation term lambda/alpha is 1.471921595170222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3543816076545756
the lambda is 0.5440858173175782
the regulation term lambda/alpha is 1.53531053972731
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31058425407163226
the lambda is 0.4848326547682809
the regulation term lambda/alpha is 1.5610342392195469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29575009414632714
the lambda is 0.4530145359195884
the regulation term lambda/alpha is 1.5317477319058845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2952261651169506
the lambda is 0.5454850629199711
the regulation term lambda/alpha is 1.8476853591343545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3371646970391285
the lambda is 0.4800714596248045
the regulation term lambda/alpha is 1.4238485340862703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29674783063690335
the lambda is 0.48742946796767556
the regulation term lambda/alpha is 1.6425712933486873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2802948875674759
the lambda is 0.45466417223122724
the regulation term lambda/alpha is 1.6220922763772319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301383016563492
the lambda is 0.4687674966578265
the regulation term lambda/alpha is 1.4199124860882715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334123680936873
the lambda is 0.49029785023786704
the regulation term lambda/alpha is 1.4705448782274797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3167700098353386
the lambda is 0.5399436013389349
the regulation term lambda/alpha is 1.7045287892613479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31200735237293226
the lambda is 0.5060938496593058
the regulation term lambda/alpha is 1.6220574477180534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32530150765892196
the lambda is 0.5007005864759105
the regulation term lambda/alpha is 1.53918925884873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30622135167639547
the lambda is 0.524851486223244
the regulation term lambda/alpha is 1.7139611047693681
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28347481448800493
the lambda is 0.42702316328686085
the regulation term lambda/alpha is 1.5063883684274537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2926994794111521
the lambda is 0.4870408903244703
the regulation term lambda/alpha is 1.6639622704635177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3162148096448818
the lambda is 0.49570561135257635
the regulation term lambda/alpha is 1.567623008894706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35201153108632255
the lambda is 0.5260927618900418
the regulation term lambda/alpha is 1.4945327508632948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28087171678850753
the lambda is 0.46170483813722085
the regulation term lambda/alpha is 1.6438281626087619
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3034273791092357
the lambda is 0.5346914886142646
the regulation term lambda/alpha is 1.7621728473677798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2995862455598702
the lambda is 0.45487412090178264
the regulation term lambda/alpha is 1.5183411376303633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3115131855070548
the lambda is 0.5395181682190963
the regulation term lambda/alpha is 1.731927229150555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38919992430548833
the lambda is 0.5191051719157188
the regulation term lambda/alpha is 1.3337751101623188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3715724902351007
the lambda is 0.4503068488565824
the regulation term lambda/alpha is 1.2118950156177197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30730752174028464
the lambda is 0.5158271095771398
the regulation term lambda/alpha is 1.678537208123014
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3158214344059532
the lambda is 0.5228125271964177
the regulation term lambda/alpha is 1.655405460936513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3886909099205281
the lambda is 0.5652841724031072
the regulation term lambda/alpha is 1.4543282540841653
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31943578125048194
the lambda is 0.5092472599088359
the regulation term lambda/alpha is 1.594208569607659
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3251849043985008
the lambda is 0.4487408152825685
the regulation term lambda/alpha is 1.379955862688678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30207659160338635
the lambda is 0.5278774256273302
the regulation term lambda/alpha is 1.7474953051655544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30181496728230256
the lambda is 0.6156678901209854
the regulation term lambda/alpha is 2.0398852173064057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30381715103452683
the lambda is 0.47041565220667725
the regulation term lambda/alpha is 1.548351205996325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3230359380772824
the lambda is 0.5188299798561588
the regulation term lambda/alpha is 1.6061060665393674
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34510392196700995
the lambda is 0.5025360108818204
the regulation term lambda/alpha is 1.4561874812012716
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3429807413720915
the lambda is 0.5624332656098665
the regulation term lambda/alpha is 1.6398392030988593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.317577291483552
the lambda is 0.5392478580523362
the regulation term lambda/alpha is 1.6980050920305332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3285854160622293
the lambda is 0.4772348893183467
the regulation term lambda/alpha is 1.4523921817271566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891713907620755
the lambda is 0.5063758398543288
the regulation term lambda/alpha is 1.7511270341088645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34613496127373305
the lambda is 0.5931061517707282
the regulation term lambda/alpha is 1.713511254650996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31470517397158243
the lambda is 0.5194485637068418
the regulation term lambda/alpha is 1.6505879364847922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33083369088168807
the lambda is 0.5124596547265783
the regulation term lambda/alpha is 1.548994763383524
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3145549298538788
the lambda is 0.5194382100983354
the regulation term lambda/alpha is 1.6513434087319236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30588819121118527
the lambda is 0.49612331178175134
the regulation term lambda/alpha is 1.6219106393657012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33947845209892913
the lambda is 0.5067505320998468
the regulation term lambda/alpha is 1.492732540067586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3313706197199282
the lambda is 0.5496827911364851
the regulation term lambda/alpha is 1.6588157139612214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30472107272398935
the lambda is 0.5118707330663186
the regulation term lambda/alpha is 1.6798009028078
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30331940193137125
the lambda is 0.47793315321139024
the regulation term lambda/alpha is 1.5756761689762495
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3032224011184323
the lambda is 0.46145744973759695
the regulation term lambda/alpha is 1.5218448506294935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3035149330042758
the lambda is 0.48328269458501155
the regulation term lambda/alpha is 1.5922863820944297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33893281531107183
the lambda is 0.5317610196642627
the regulation term lambda/alpha is 1.568927514959605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34069413733464654
the lambda is 0.502695159370657
the regulation term lambda/alpha is 1.475502816994133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31292724106423553
the lambda is 0.511922541503973
the regulation term lambda/alpha is 1.6359155558428646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2699639140940394
the lambda is 0.4886526659701226
the regulation term lambda/alpha is 1.810066606901784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202190901410374
the lambda is 0.4956384267577959
the regulation term lambda/alpha is 1.5478103648957868
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31793247411366776
the lambda is 0.4757056131895978
the regulation term lambda/alpha is 1.4962473226925626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3372827407314146
the lambda is 0.518290884316693
the regulation term lambda/alpha is 1.5366658939996547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105961597276163
the lambda is 0.4857575234523528
the regulation term lambda/alpha is 1.5639521231632352
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32054537424153917
the lambda is 0.4609783531210151
the regulation term lambda/alpha is 1.4381063966739887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32421266500937107
the lambda is 0.49366542213691644
the regulation term lambda/alpha is 1.5226592771218468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37187038725068156
the lambda is 0.5355963555219883
the regulation term lambda/alpha is 1.440276972527359
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3692430101011877
the lambda is 0.5227631519362771
the regulation term lambda/alpha is 1.4157699337166019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35003464253848543
the lambda is 0.5645657449836361
the regulation term lambda/alpha is 1.6128853444029143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31469794668321993
the lambda is 0.49453251283362404
the regulation term lambda/alpha is 1.5714513489706003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27366174393014664
the lambda is 0.5215210148631924
the regulation term lambda/alpha is 1.9057139933900038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32477572318786624
the lambda is 0.5122355713472804
the regulation term lambda/alpha is 1.5771978469307515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35471811231046624
the lambda is 0.4859764239852907
the regulation term lambda/alpha is 1.3700355496928809
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30082757044072606
the lambda is 0.5040426746579123
the regulation term lambda/alpha is 1.6755202121915451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3811938647700425
the lambda is 0.4823610559159708
the regulation term lambda/alpha is 1.265395643780778
690
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31825842722935627
the lambda is 0.5024950283318483
the regulation term lambda/alpha is 1.5788899376723182
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33560430032158495
the lambda is 0.5188965292021941
the regulation term lambda/alpha is 1.5461557813918763
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28527031718347223
the lambda is 0.529860669564382
the regulation term lambda/alpha is 1.8573985362227539
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3195681042167514
the lambda is 0.4915760242176667
the regulation term lambda/alpha is 1.5382512138453235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34597438028149335
the lambda is 0.4832163000740333
the regulation term lambda/alpha is 1.3966823198899194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32314238429272196
the lambda is 0.5181351138190343
the regulation term lambda/alpha is 1.6034266595918787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3170540750203884
the lambda is 0.4893915794361037
the regulation term lambda/alpha is 1.5435587112533815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31673694873076563
the lambda is 0.4863516421533791
the regulation term lambda/alpha is 1.5355064955392692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32405523366990663
the lambda is 0.47285483042236937
the regulation term lambda/alpha is 1.4591797363286374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30441855975431553
the lambda is 0.45894713585578745
the regulation term lambda/alpha is 1.507618774053021
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31604358720339604
the lambda is 0.5935442773240354
the regulation term lambda/alpha is 1.8780456283773552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30243784918172356
the lambda is 0.5127654245527141
the regulation term lambda/alpha is 1.695440653145938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27727681424588824
the lambda is 0.4684846659858171
the regulation term lambda/alpha is 1.6895919237241608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32295680038254626
the lambda is 0.4632537343806647
the regulation term lambda/alpha is 1.4344139334794468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33881354833058114
the lambda is 0.4540602733887326
the regulation term lambda/alpha is 1.3401479239127267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.350212750604326
the lambda is 0.5593133357689539
the regulation term lambda/alpha is 1.5970673106670292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29295296338089455
the lambda is 0.4987120352218774
the regulation term lambda/alpha is 1.702362145329989
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35930703057860963
the lambda is 0.5427913732045666
the regulation term lambda/alpha is 1.5106617099322637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117018937051459
the lambda is 0.5025955438635465
the regulation term lambda/alpha is 1.6124237741685854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3487883609322019
the lambda is 0.5396523652872187
the regulation term lambda/alpha is 1.5472201074740488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142657587769528
the lambda is 0.4603414231253094
the regulation term lambda/alpha is 1.4648157181261114
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3383313127634234
the lambda is 0.5623858411309293
the regulation term lambda/alpha is 1.6622340880525446
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3063856267184522
the lambda is 0.4927537748535859
the regulation term lambda/alpha is 1.608279670724872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945529829419509
the lambda is 0.5076772999572072
the regulation term lambda/alpha is 1.7235517185621503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3501745831499356
the lambda is 0.5222528753874681
the regulation term lambda/alpha is 1.491407145229193
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33556953269926704
the lambda is 0.5022833534960917
the regulation term lambda/alpha is 1.4968085733403913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29439865985723473
the lambda is 0.4864939698395531
the regulation term lambda/alpha is 1.6525006264480715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3188602699946611
the lambda is 0.533337566470282
the regulation term lambda/alpha is 1.672637254177863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159452651762174
the lambda is 0.46879063853004677
the regulation term lambda/alpha is 1.4837716851638223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31663166045608054
the lambda is 0.516279412082425
the regulation term lambda/alpha is 1.6305362873023157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.320326493776543
the lambda is 0.4757310523735994
the regulation term lambda/alpha is 1.4851442563020258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3463237749005373
the lambda is 0.5313436600336288
the regulation term lambda/alpha is 1.5342396293359541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30571045231202
the lambda is 0.5694220871603676
the regulation term lambda/alpha is 1.8626189678957827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023718988405889
the lambda is 0.5150953273799126
the regulation term lambda/alpha is 1.7035158669009514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30181141731838873
the lambda is 0.524614580383167
the regulation term lambda/alpha is 1.7382197964689234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29619216726453856
the lambda is 0.45129642195242176
the regulation term lambda/alpha is 1.5236608925898931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29968924299815963
the lambda is 0.5410438442007445
the regulation term lambda/alpha is 1.8053495640618205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37270690171870824
the lambda is 0.4867497426371917
the regulation term lambda/alpha is 1.3059853208850813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34362476960216287
the lambda is 0.4901665193560992
the regulation term lambda/alpha is 1.4264586337114096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.272271500787931
the lambda is 0.49621502837466047
the regulation term lambda/alpha is 1.8225008013642838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.381265107223064
the lambda is 0.5150258274325883
the regulation term lambda/alpha is 1.3508338887441538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29338402233168326
the lambda is 0.5160854612896735
the regulation term lambda/alpha is 1.7590782796829223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934876070542251
the lambda is 0.521593087886626
the regulation term lambda/alpha is 1.777223553396092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902823509716928
the lambda is 0.5017763405804673
the regulation term lambda/alpha is 1.728580256087972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3102925165834368
the lambda is 0.5359559366801196
the regulation term lambda/alpha is 1.7272602722792463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33466425683269696
the lambda is 0.4937614125535212
the regulation term lambda/alpha is 1.4753933306966778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3317221765789339
the lambda is 0.5313514659716877
the regulation term lambda/alpha is 1.6017966343147145
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3311576054811404
the lambda is 0.5697127902203387
the regulation term lambda/alpha is 1.7203675252833175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3048403189610714
the lambda is 0.500845044268941
the regulation term lambda/alpha is 1.6429750696229255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2937115519447838
the lambda is 0.51384745045436
the regulation term lambda/alpha is 1.7494969028353387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29928817981258915
the lambda is 0.47806012533609477
the regulation term lambda/alpha is 1.5973237754843863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3346449818463066
the lambda is 0.4999879929791695
the regulation term lambda/alpha is 1.4940848364754518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32344244026896773
the lambda is 0.48890161036534985
the regulation term lambda/alpha is 1.51155677022097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2906395004299535
the lambda is 0.5055833269228026
the regulation term lambda/alpha is 1.7395547617404892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32911390245762234
the lambda is 0.5219399675704173
the regulation term lambda/alpha is 1.5858946208983795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32998855270908944
the lambda is 0.5640083332320671
the regulation term lambda/alpha is 1.7091754504868668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058971469979449
the lambda is 0.5438431303023473
the regulation term lambda/alpha is 1.777862708559361
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34920847218459294
the lambda is 0.5383890616606791
the regulation term lambda/alpha is 1.5417411218364845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334753449533145
the lambda is 0.5844036571520661
the regulation term lambda/alpha is 1.7524643605477963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27185339757752025
the lambda is 0.5289256150431629
the regulation term lambda/alpha is 1.9456281207312753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34374163635093247
the lambda is 0.5389176310031997
the regulation term lambda/alpha is 1.5677985266033012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3442211378054124
the lambda is 0.5389346048034986
the regulation term lambda/alpha is 1.5656638875796098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3218330164949529
the lambda is 0.49861691985082685
the regulation term lambda/alpha is 1.5493031923237943
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2949183510854492
the lambda is 0.5111215252977037
the regulation term lambda/alpha is 1.7330950190671996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27997844752140055
the lambda is 0.493245844261064
the regulation term lambda/alpha is 1.7617279066573939
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133235610117484
the lambda is 0.5178028091706046
the regulation term lambda/alpha is 1.6526136990738116
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3509562410201686
the lambda is 0.5467392947956353
the regulation term lambda/alpha is 1.557856025601253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28427377000749915
the lambda is 0.5095767084980011
the regulation term lambda/alpha is 1.7925561985003344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34275683076703173
the lambda is 0.5457867023607856
the regulation term lambda/alpha is 1.5923437649350634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066289595683932
the lambda is 0.5031906396221637
the regulation term lambda/alpha is 1.641040821227219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3212495285416682
the lambda is 0.4776350839852301
the regulation term lambda/alpha is 1.4868039998486025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33846342135845875
the lambda is 0.5597699488366379
the regulation term lambda/alpha is 1.653856557349512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3615676131485387
the lambda is 0.49775101149103335
the regulation term lambda/alpha is 1.3766471149243888
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.327293255787607
the lambda is 0.5147553831884527
the regulation term lambda/alpha is 1.5727650175672945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32387190742945293
the lambda is 0.5628040443827741
the regulation term lambda/alpha is 1.7377365293881388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31729328149445735
the lambda is 0.5467781375247023
the regulation term lambda/alpha is 1.7232578482259913
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.308593807673884
the lambda is 0.516554185275083
the regulation term lambda/alpha is 1.6738967938752922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.343981226882858
the lambda is 0.5031492084699675
the regulation term lambda/alpha is 1.462722873075029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30642788987882724
the lambda is 0.4924171836059616
the regulation term lambda/alpha is 1.6069594180891345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31851019542292863
the lambda is 0.5005223310218606
the regulation term lambda/alpha is 1.5714483812904327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2927454005739563
the lambda is 0.5218224825553494
the regulation term lambda/alpha is 1.7825130011684718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31589604449303493
the lambda is 0.5415163038732109
the regulation term lambda/alpha is 1.7142231228069416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32633266780897796
the lambda is 0.5141288439669515
the regulation term lambda/alpha is 1.5754746449960133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29637213564985065
the lambda is 0.46214239646247046
the regulation term lambda/alpha is 1.559331464981139
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31301447716604974
the lambda is 0.5582804691802699
the regulation term lambda/alpha is 1.7835611765781363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32479491821856493
the lambda is 0.5427384797149227
the regulation term lambda/alpha is 1.6710190008259198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30908944207982364
the lambda is 0.477056651971315
the regulation term lambda/alpha is 1.5434259053342663
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2860798393186844
the lambda is 0.4875330146320418
the regulation term lambda/alpha is 1.7041851526242804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3001743339641492
the lambda is 0.5153853460134923
the regulation term lambda/alpha is 1.7169534090647685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3613621504331293
the lambda is 0.49968857450975296
the regulation term lambda/alpha is 1.3827916784057914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30715079612075985
the lambda is 0.4890331410009318
the regulation term lambda/alpha is 1.5921597703059926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3140703701024155
the lambda is 0.47115222919714445
the regulation term lambda/alpha is 1.5001486101458916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2953392830154753
the lambda is 0.47828342948587915
the regulation term lambda/alpha is 1.6194372269157906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3386054251034762
the lambda is 0.49865954170208976
the regulation term lambda/alpha is 1.472686214491991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3205812341594206
the lambda is 0.4670419048874544
the regulation term lambda/alpha is 1.4568597756885575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32878840560122474
the lambda is 0.5416806461189443
the regulation term lambda/alpha is 1.6475053161574336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28951269304770855
the lambda is 0.48966196984002497
the regulation term lambda/alpha is 1.6913316120455346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3858961160119074
the lambda is 0.5533349921273727
the regulation term lambda/alpha is 1.433896246082712
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33209232539822026
the lambda is 0.5321742617327505
the regulation term lambda/alpha is 1.6024888894815832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34073073196435666
the lambda is 0.5775291452897331
the regulation term lambda/alpha is 1.6949722790198671
700
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33153752414551513
the lambda is 0.4667612985763029
the regulation term lambda/alpha is 1.40786868629518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32510302541872915
the lambda is 0.5152495103745872
the regulation term lambda/alpha is 1.5848806996211477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3181749920617998
the lambda is 0.5637159583390421
the regulation term lambda/alpha is 1.7717167357689456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37214642347799104
the lambda is 0.5175743023743661
the regulation term lambda/alpha is 1.3907813422932862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29182807329400123
the lambda is 0.45355019770809635
the regulation term lambda/alpha is 1.554169181150604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28295321064566276
the lambda is 0.5415630283296061
the regulation term lambda/alpha is 1.913966719422724
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2950801346247264
the lambda is 0.5391388033979542
the regulation term lambda/alpha is 1.827092847451808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33545272648401225
the lambda is 0.507507662901024
the regulation term lambda/alpha is 1.5129036756397087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30987829332190503
the lambda is 0.5322469126626418
the regulation term lambda/alpha is 1.717599858179604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37709511451897565
the lambda is 0.5662530673647295
the regulation term lambda/alpha is 1.5016186780543275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33776851419286796
the lambda is 0.48126344030815765
the regulation term lambda/alpha is 1.4248321560053794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30026435965880666
the lambda is 0.47934875451695846
the regulation term lambda/alpha is 1.5964224161057514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3271906531258947
the lambda is 0.4913223835638375
the regulation term lambda/alpha is 1.5016394229782264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35369095284514274
the lambda is 0.49382913061123834
the regulation term lambda/alpha is 1.3962164614016932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2755530025685685
the lambda is 0.47990084891344703
the regulation term lambda/alpha is 1.7415917970047474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33002381536797243
the lambda is 0.47575053209612966
the regulation term lambda/alpha is 1.441564244585421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3003589269153037
the lambda is 0.4829889430589266
the regulation term lambda/alpha is 1.6080392483061494
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32561993364806435
the lambda is 0.510981023934979
the regulation term lambda/alpha is 1.5692559672567716
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.280216795981114
the lambda is 0.46330922234074684
the regulation term lambda/alpha is 1.653395617199095
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34325892147588
the lambda is 0.5805129302597046
the regulation term lambda/alpha is 1.6911808956449685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2888311441182373
the lambda is 0.536431115310057
the regulation term lambda/alpha is 1.8572481750460437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.325828468939826
the lambda is 0.5032306592843879
the regulation term lambda/alpha is 1.5444649785262459
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193953583800619
the lambda is 0.5486967929057672
the regulation term lambda/alpha is 1.7179235029860702
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27092852212063195
the lambda is 0.4910579757801802
the regulation term lambda/alpha is 1.8125001086505568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3288386169851658
the lambda is 0.48033283544722744
the regulation term lambda/alpha is 1.4606947318139818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3175235112935249
the lambda is 0.5244401499975839
the regulation term lambda/alpha is 1.6516576925630595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3468308005118315
the lambda is 0.5393549083539
the regulation term lambda/alpha is 1.555095186350097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29468204765987654
the lambda is 0.5429641993199225
the regulation term lambda/alpha is 1.8425425085501455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29741832181468597
the lambda is 0.4791662519289014
the regulation term lambda/alpha is 1.611085184682933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35923950766309265
the lambda is 0.5599558146293173
the regulation term lambda/alpha is 1.5587255930504822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3017541481526655
the lambda is 0.490457671119217
the regulation term lambda/alpha is 1.6253551910447355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3145803927373537
the lambda is 0.5517978126361751
the regulation term lambda/alpha is 1.7540756683360001
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30007274336768563
the lambda is 0.5270800062697514
the regulation term lambda/alpha is 1.756507440010667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2991753706226549
the lambda is 0.5011039621675534
the regulation term lambda/alpha is 1.6749505854196391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31931982172755824
the lambda is 0.47068257628264115
the regulation term lambda/alpha is 1.4740161563920222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31590704272969955
the lambda is 0.5349811562713865
the regulation term lambda/alpha is 1.6934765102059912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2723430582014253
the lambda is 0.4953816421390022
the regulation term lambda/alpha is 1.8189618836277344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934551745446177
the lambda is 0.5292733942312446
the regulation term lambda/alpha is 1.8035919627335537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3270641354447318
the lambda is 0.5493456617328759
the regulation term lambda/alpha is 1.6796267220980756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33207957393571
the lambda is 0.5892397504249569
the regulation term lambda/alpha is 1.774393237866032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192705027347356
the lambda is 0.5411558927895713
the regulation term lambda/alpha is 1.6949761664615417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058962992403323
the lambda is 0.4656145790405442
the regulation term lambda/alpha is 1.5221321088122308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.284707288193143
the lambda is 0.4827876028536224
the regulation term lambda/alpha is 1.6957332069634388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3127756414657304
the lambda is 0.5063102594214555
the regulation term lambda/alpha is 1.6187649941305609
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.315432222208971
the lambda is 0.5489106532096483
the regulation term lambda/alpha is 1.740185734246262
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282979618148328
the lambda is 0.48159696058257906
the regulation term lambda/alpha is 1.4669508087114176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3249352367026299
the lambda is 0.5185699761040772
the regulation term lambda/alpha is 1.595917947731398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3251582027498711
the lambda is 0.5234851110413693
the regulation term lambda/alpha is 1.6099397358401004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34114209230624637
the lambda is 0.5352833566759947
the regulation term lambda/alpha is 1.5690920843490224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32401522082739675
the lambda is 0.5398129769198908
the regulation term lambda/alpha is 1.6660111692945738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123135044223636
the lambda is 0.5353152640567893
the regulation term lambda/alpha is 1.714031754876807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3069209112437901
the lambda is 0.5578515508563482
the regulation term lambda/alpha is 1.8175742688748944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.377191506926144
the lambda is 0.5663560720839179
the regulation term lambda/alpha is 1.5015080182990792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37968214690712254
the lambda is 0.529466498354049
the regulation term lambda/alpha is 1.3944993270478072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29803717142900266
the lambda is 0.4938499006757957
the regulation term lambda/alpha is 1.6570077427185583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39446660722788757
the lambda is 0.5925382681258209
the regulation term lambda/alpha is 1.5021252934180693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2663682678933463
the lambda is 0.45929104761461187
the regulation term lambda/alpha is 1.724270879737491
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116195376871113
the lambda is 0.5612721306321847
the regulation term lambda/alpha is 1.801145508391527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3134996241350047
the lambda is 0.5463280201587949
the regulation term lambda/alpha is 1.7426751999023946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3549191116591709
the lambda is 0.47744990432848883
the regulation term lambda/alpha is 1.345235825978806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336098855149644
the lambda is 0.5534578883280903
the regulation term lambda/alpha is 1.6467116143007086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31591457028068287
the lambda is 0.5131702320025628
the regulation term lambda/alpha is 1.6243955812060926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30305618761874337
the lambda is 0.5054478326651743
the regulation term lambda/alpha is 1.6678353827279304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32523761373362803
the lambda is 0.4752952682808612
the regulation term lambda/alpha is 1.461378537447183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215861054299208
the lambda is 0.5468401841890079
the regulation term lambda/alpha is 1.7004471740405276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909388526225377
the lambda is 0.4691826230203394
the regulation term lambda/alpha is 1.6126502830099976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2810365689919702
the lambda is 0.47051426047648653
the regulation term lambda/alpha is 1.6742100935979263
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33327578720375445
the lambda is 0.5809934757538833
the regulation term lambda/alpha is 1.7432813845509934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2955510968508362
the lambda is 0.5075096777414251
the regulation term lambda/alpha is 1.7171639122610456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30442882332874466
the lambda is 0.514178308521191
the regulation term lambda/alpha is 1.6889935154594193
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32306307153172503
the lambda is 0.5662654878079373
the regulation term lambda/alpha is 1.7528016592027282
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3354931546455638
the lambda is 0.50656044531617
the regulation term lambda/alpha is 1.509898006268809
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2866558127406053
the lambda is 0.4853929499116858
the regulation term lambda/alpha is 1.6932953330722011
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27827272826248184
the lambda is 0.5043795563974608
the regulation term lambda/alpha is 1.8125367855728314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3578836468408598
the lambda is 0.501257277935024
the regulation term lambda/alpha is 1.4006152065336421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31165086502505335
the lambda is 0.5095225261599838
the regulation term lambda/alpha is 1.6349145256472295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2913459992185825
the lambda is 0.4614964100319474
the regulation term lambda/alpha is 1.5840149213297054
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2802606757786275
the lambda is 0.5233116252331109
the regulation term lambda/alpha is 1.8672317255327846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37828960205118695
the lambda is 0.6237916507600942
the regulation term lambda/alpha is 1.6489791085394094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30117255055544545
the lambda is 0.5079195931931766
the regulation term lambda/alpha is 1.6864737249674062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3506756838928234
the lambda is 0.5231004190701221
the regulation term lambda/alpha is 1.4916928749185718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29641404245243863
the lambda is 0.5194671937324621
the regulation term lambda/alpha is 1.7525053450050823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3359794811121587
the lambda is 0.5096063229979241
the regulation term lambda/alpha is 1.5167781118984591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105152378993148
the lambda is 0.48835293701089405
the regulation term lambda/alpha is 1.5727181065724172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117446208849136
the lambda is 0.5124894903434277
the regulation term lambda/alpha is 1.643940122811687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3136506755645187
the lambda is 0.46507529327046054
the regulation term lambda/alpha is 1.4827810985371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161165264408454
the lambda is 0.5063697775865925
the regulation term lambda/alpha is 1.6018453172562903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30824206502443036
the lambda is 0.5354038463529962
the regulation term lambda/alpha is 1.7369590562227828
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32260587280618747
the lambda is 0.5262456333384696
the regulation term lambda/alpha is 1.6312338915622382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33825174799039787
the lambda is 0.4585271414288031
the regulation term lambda/alpha is 1.3555795177792238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2689387314005011
the lambda is 0.48171883735206783
the regulation term lambda/alpha is 1.791184314893999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31554715659996024
the lambda is 0.48802398042692086
the regulation term lambda/alpha is 1.5465960323820023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2970718138635364
the lambda is 0.52726878436842
the regulation term lambda/alpha is 1.7748866091033035
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2828430381014839
the lambda is 0.46545254552061716
the regulation term lambda/alpha is 1.6456213617448594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3316643486160334
the lambda is 0.5679634387437943
the regulation term lambda/alpha is 1.7124645477085132
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3077255485980775
the lambda is 0.5132449286173252
the regulation term lambda/alpha is 1.6678658335505252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33505116105749805
the lambda is 0.5631843056030381
the regulation term lambda/alpha is 1.680890476026108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2898384661487374
the lambda is 0.5491983837202482
the regulation term lambda/alpha is 1.8948429827751512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206574262680767
the lambda is 0.537150055936303
the regulation term lambda/alpha is 1.6751523960877603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3309747257852713
the lambda is 0.5595244193667932
the regulation term lambda/alpha is 1.6905351852449289
710
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29635754370455086
the lambda is 0.5143305490473324
the regulation term lambda/alpha is 1.735506856407497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3257642636619978
the lambda is 0.5170220937627026
the regulation term lambda/alpha is 1.5871050063955068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28544153164865094
the lambda is 0.49824116389316875
the regulation term lambda/alpha is 1.7455104063358664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29906348639498037
the lambda is 0.47627791898142324
the regulation term lambda/alpha is 1.5925645912934736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3102508412699312
the lambda is 0.4977152724591577
the regulation term lambda/alpha is 1.6042350454937997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32011808942586634
the lambda is 0.498691331068763
the regulation term lambda/alpha is 1.5578355223947788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2638993525261629
the lambda is 0.47661168570783496
the regulation term lambda/alpha is 1.8060358282257771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3557058762316378
the lambda is 0.5397184298822334
the regulation term lambda/alpha is 1.5173165976340675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3829564301521522
the lambda is 0.5599179938246667
the regulation term lambda/alpha is 1.4620932036634193
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28541901457611357
the lambda is 0.5352714199856518
the regulation term lambda/alpha is 1.8753880878630433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32777011763274333
the lambda is 0.5285580434631465
the regulation term lambda/alpha is 1.6125876491748405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32719572585200035
the lambda is 0.49969610937064585
the regulation term lambda/alpha is 1.5272085479401163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31317215097917095
the lambda is 0.5137364371648604
the regulation term lambda/alpha is 1.6404282295172183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2987665523399849
the lambda is 0.45741156948086314
the regulation term lambda/alpha is 1.530999925856313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197736280764736
the lambda is 0.5156865768486979
the regulation term lambda/alpha is 1.6126613690775398
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2876509997408653
the lambda is 0.5121437181062299
the regulation term lambda/alpha is 1.7804343408074448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.24855257504658512
the lambda is 0.4981610364037905
the regulation term lambda/alpha is 2.0042481407019115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491083595073468
the lambda is 0.5657890660158302
the regulation term lambda/alpha is 1.6206689144145903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419697629758014
the lambda is 0.5389666168358607
the regulation term lambda/alpha is 1.5760651238454648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431571371894002
the lambda is 0.5420741106953312
the regulation term lambda/alpha is 1.5796673067479923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29107273135143
the lambda is 0.4837199687457926
the regulation term lambda/alpha is 1.6618525771889217
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3327960734655427
the lambda is 0.5106080977666705
the regulation term lambda/alpha is 1.5342972423006616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31146428073038485
the lambda is 0.5576280640873167
the regulation term lambda/alpha is 1.7903435436631028
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3617057071235954
the lambda is 0.4866365561652905
the regulation term lambda/alpha is 1.3453936351604374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30213387503002415
the lambda is 0.4917876868358828
the regulation term lambda/alpha is 1.627714491753075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3411687156756065
the lambda is 0.5272528493592025
the regulation term lambda/alpha is 1.5454314101311983
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28465617747231053
the lambda is 0.5058118776168833
the regulation term lambda/alpha is 1.7769221877016363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31963081524397896
the lambda is 0.5018280042302992
the regulation term lambda/alpha is 1.5700238534486932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517194160310213
the lambda is 0.5691105080607721
the regulation term lambda/alpha is 1.6180810103772523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3292008568244198
the lambda is 0.5134303814432468
the regulation term lambda/alpha is 1.5596265040011312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3531416084235519
the lambda is 0.5172377344781205
the regulation term lambda/alpha is 1.4646751392086161
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989179268792528
the lambda is 0.5321810448611548
the regulation term lambda/alpha is 1.7803584094711327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885061729369022
the lambda is 0.49740925198750696
the regulation term lambda/alpha is 1.724085300928008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34137229664781094
the lambda is 0.5481098464719841
the regulation term lambda/alpha is 1.605607285225788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33070975597884616
the lambda is 0.5226243891167855
the regulation term lambda/alpha is 1.5803113747579167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298486203658343
the lambda is 0.45219902707033693
the regulation term lambda/alpha is 1.3709289630158348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38012235651203735
the lambda is 0.4834506160504631
the regulation term lambda/alpha is 1.271828946043992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3503839303615889
the lambda is 0.512735253601163
the regulation term lambda/alpha is 1.4633526516813455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4075911521140789
the lambda is 0.4989632505577183
the regulation term lambda/alpha is 1.2241758634104638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3631199868300312
the lambda is 0.5494484347483234
the regulation term lambda/alpha is 1.513131897654283
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36183929964121875
the lambda is 0.5850172282018719
the regulation term lambda/alpha is 1.6167874213274922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2944764629148089
the lambda is 0.5203275358363453
the regulation term lambda/alpha is 1.7669579792082548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2920752152663255
the lambda is 0.4801631319096435
the regulation term lambda/alpha is 1.643970822624618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.337923205622938
the lambda is 0.5219024830939087
the regulation term lambda/alpha is 1.5444410872340588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3033533538751649
the lambda is 0.45200532462538784
the regulation term lambda/alpha is 1.490029099237834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3305688960334872
the lambda is 0.4676510978087061
the regulation term lambda/alpha is 1.4146857233698487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29550827839340277
the lambda is 0.5054438670357831
the regulation term lambda/alpha is 1.7104220219607464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27406724175067043
the lambda is 0.469369901461942
the regulation term lambda/alpha is 1.7126085498716623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31399519112597757
the lambda is 0.5002193990591544
the regulation term lambda/alpha is 1.5930798088511555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3166164926780584
the lambda is 0.5127256482092577
the regulation term lambda/alpha is 1.619390208868894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33575800845504805
the lambda is 0.502343001265526
the regulation term lambda/alpha is 1.4961459998437556
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30549321349623515
the lambda is 0.571475834750288
the regulation term lambda/alpha is 1.8706662194226804
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32611254386483185
the lambda is 0.4992903354027623
the regulation term lambda/alpha is 1.5310368913920396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300699455028499
the lambda is 0.5076079154306591
the regulation term lambda/alpha is 1.5378798413691872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32268211354460813
the lambda is 0.513574360175379
the regulation term lambda/alpha is 1.5915798819273002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33958178396249317
the lambda is 0.528110931948883
the regulation term lambda/alpha is 1.5551803921473388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26973581208018177
the lambda is 0.5303776663695363
the regulation term lambda/alpha is 1.966285686276897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34968962469450177
the lambda is 0.5188492770783084
the regulation term lambda/alpha is 1.4837422686806594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32109882552332414
the lambda is 0.4818980268594177
the regulation term lambda/alpha is 1.5007779180569234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330518794816016
the lambda is 0.512704849096118
the regulation term lambda/alpha is 1.5512123883348792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2887866388973527
the lambda is 0.45425929711546087
the regulation term lambda/alpha is 1.5729927771240289
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3443871704859491
the lambda is 0.5278793560253466
the regulation term lambda/alpha is 1.5328078432204082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29766169221833205
the lambda is 0.5185076737545733
the regulation term lambda/alpha is 1.7419361890016158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30848242913134666
the lambda is 0.48271898271483615
the regulation term lambda/alpha is 1.5648184049708143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29973164212034314
the lambda is 0.4670834618652402
the regulation term lambda/alpha is 1.5583388479141778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3107125319789997
the lambda is 0.49745621925495703
the regulation term lambda/alpha is 1.6010175582122286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.40017749191572793
the lambda is 0.5884410349097526
the regulation term lambda/alpha is 1.4704501047591914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161886813659303
the lambda is 0.50220139116065
the regulation term lambda/alpha is 1.5882965480963696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26691057696241305
the lambda is 0.42950778636601167
the regulation term lambda/alpha is 1.6091823383473332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28905256892822073
the lambda is 0.5448322033318058
the regulation term lambda/alpha is 1.8848896771683832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32696472464207504
the lambda is 0.5003832003244565
the regulation term lambda/alpha is 1.5303889460008901
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29583610530000726
the lambda is 0.5178566376406535
the regulation term lambda/alpha is 1.7504849082416607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31539131964622896
the lambda is 0.5585248990334016
the regulation term lambda/alpha is 1.77089496204237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30884876966531344
the lambda is 0.549116291241577
the regulation term lambda/alpha is 1.7779455357281542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30004352150689995
the lambda is 0.5146942996438844
the regulation term lambda/alpha is 1.715398809675843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33221013950584594
the lambda is 0.5577662865874341
the regulation term lambda/alpha is 1.6789562396171807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29831349084725345
the lambda is 0.494674360195978
the regulation term lambda/alpha is 1.6582366382124767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35935846391841264
the lambda is 0.4990759224453363
the regulation term lambda/alpha is 1.3887969049162134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090945952011308
the lambda is 0.5009475459703933
the regulation term lambda/alpha is 1.6206933209052778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2978899097323038
the lambda is 0.48500166176371823
the regulation term lambda/alpha is 1.6281238333972468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33984497216906107
the lambda is 0.5917682362946142
the regulation term lambda/alpha is 1.7412887779908952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35749601379854273
the lambda is 0.5662576493785485
the regulation term lambda/alpha is 1.5839551422177474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902971956330281
the lambda is 0.4819584843787904
the regulation term lambda/alpha is 1.6602243894496527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100455298430428
the lambda is 0.5330689507550842
the regulation term lambda/alpha is 1.7193247424819982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28768544789233724
the lambda is 0.4845311265653831
the regulation term lambda/alpha is 1.6842392624138325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3115968953289363
the lambda is 0.48390308128703813
the regulation term lambda/alpha is 1.552977865123487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156441762516912
the lambda is 0.52947241915642
the regulation term lambda/alpha is 1.6774344625773308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156944087167855
the lambda is 0.5073752026484624
the regulation term lambda/alpha is 1.6071719632628552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3459786916304811
the lambda is 0.5323264760261667
the regulation term lambda/alpha is 1.5386105818178892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26450447818702183
the lambda is 0.5169610554507148
the regulation term lambda/alpha is 1.9544510512415212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4304026268103243
the lambda is 0.4947394308615723
the regulation term lambda/alpha is 1.1494805097451248
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2912245752339753
the lambda is 0.5412196394563571
the regulation term lambda/alpha is 1.8584270885159022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190564028113871
the lambda is 0.49779889058195603
the regulation term lambda/alpha is 1.5602222246460733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28884855594308845
the lambda is 0.49270701020111485
the regulation term lambda/alpha is 1.7057624144681285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3573750961259403
the lambda is 0.5155689389943495
the regulation term lambda/alpha is 1.4426549151949333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3221119486785364
the lambda is 0.5305662207029099
the regulation term lambda/alpha is 1.6471485236097474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2671800091265729
the lambda is 0.5021052593811666
the regulation term lambda/alpha is 1.8792770500404503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34885212178948943
the lambda is 0.5117176021681423
the regulation term lambda/alpha is 1.4668610858469484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30270470301010016
the lambda is 0.47546124090873504
the regulation term lambda/alpha is 1.5707097913601646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27771040249320167
the lambda is 0.4631495391411606
the regulation term lambda/alpha is 1.6677428536458891
720
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3195858901736014
the lambda is 0.5402524446811298
the regulation term lambda/alpha is 1.690476523815431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34375654854452387
the lambda is 0.500774190354399
the regulation term lambda/alpha is 1.4567698927473318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3168457280989813
the lambda is 0.4868569675867392
the regulation term lambda/alpha is 1.5365741886683952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3164611260005074
the lambda is 0.5164665079630651
the regulation term lambda/alpha is 1.6320061629378044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.288881924311754
the lambda is 0.5184392811787226
the regulation term lambda/alpha is 1.794640777244464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117870625824942
the lambda is 0.5186470493342222
the regulation term lambda/alpha is 1.6634655878224451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29593244430347543
the lambda is 0.5819372319935059
the regulation term lambda/alpha is 1.9664529631524137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30599866451981
the lambda is 0.562859986356677
the regulation term lambda/alpha is 1.8394197479258543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32555203757734374
the lambda is 0.4497137597200627
the regulation term lambda/alpha is 1.3813882507592077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3033507596783703
the lambda is 0.47077095050665463
the regulation term lambda/alpha is 1.5519029884935602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3612869485393868
the lambda is 0.5322826442999307
the regulation term lambda/alpha is 1.4732960779564452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2826313692579701
the lambda is 0.4633500046821888
the regulation term lambda/alpha is 1.6394146406985306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3406919376794458
the lambda is 0.5021067990741336
the regulation term lambda/alpha is 1.473785386569851
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3184988467477106
the lambda is 0.5262418514311312
the regulation term lambda/alpha is 1.6522566935634089
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2745886694746522
the lambda is 0.5054755377547827
the regulation term lambda/alpha is 1.8408463055735957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3050683340741124
the lambda is 0.5361373122532717
the regulation term lambda/alpha is 1.7574335070877074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33501026848505794
the lambda is 0.4907465613334829
the regulation term lambda/alpha is 1.4648702069720918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2974919082635656
the lambda is 0.43730840304449514
the regulation term lambda/alpha is 1.469984194182041
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217817517020602
the lambda is 0.4672545741733082
the regulation term lambda/alpha is 1.4520853706021908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2935608433354415
the lambda is 0.4966590761846123
the regulation term lambda/alpha is 1.6918437436735991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3272757364890743
the lambda is 0.5456276312006904
the regulation term lambda/alpha is 1.667180210345063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31362035546252515
the lambda is 0.5026718787187203
the regulation term lambda/alpha is 1.6028037401379234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37587432893416295
the lambda is 0.5399622316376789
the regulation term lambda/alpha is 1.4365499053069333
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28772667606089275
the lambda is 0.5096679790316446
the regulation term lambda/alpha is 1.7713615783187984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2831140491332958
the lambda is 0.49102051126061247
the regulation term lambda/alpha is 1.7343558638781296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2968483184612256
the lambda is 0.5457335399790778
the regulation term lambda/alpha is 1.8384255730603427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2963564206816726
the lambda is 0.48416434152140614
the regulation term lambda/alpha is 1.6337231378613017
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33621410143152397
the lambda is 0.5061817590329302
the regulation term lambda/alpha is 1.5055339941951338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27336286416267513
the lambda is 0.5024102390259243
the regulation term lambda/alpha is 1.8378876756535067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30110123475387424
the lambda is 0.4537883563094166
the regulation term lambda/alpha is 1.5070956340659036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2964494471038506
the lambda is 0.479234560072842
the regulation term lambda/alpha is 1.6165810554032136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3493954056604166
the lambda is 0.49107245344135
the regulation term lambda/alpha is 1.4054920170262104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2720603167612691
the lambda is 0.47598684325952095
the regulation term lambda/alpha is 1.74956365899256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2593124219421176
the lambda is 0.4915165334580201
the regulation term lambda/alpha is 1.8954608104648911
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197715474837394
the lambda is 0.48332172493780345
the regulation term lambda/alpha is 1.5114594426584518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32411907390260236
the lambda is 0.5119386527106481
the regulation term lambda/alpha is 1.5794770932379174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28488171600683265
the lambda is 0.5079768391619505
the regulation term lambda/alpha is 1.7831149232117343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30805324193637135
the lambda is 0.447330091975188
the regulation term lambda/alpha is 1.4521194101491859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3079010251421102
the lambda is 0.5030288365738955
the regulation term lambda/alpha is 1.6337355042638297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971895807684189
the lambda is 0.5015822128031011
the regulation term lambda/alpha is 1.687751675231012
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3201214736981283
the lambda is 0.49028417100627747
the regulation term lambda/alpha is 1.5315566473638411
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33949595688165135
the lambda is 0.5407052564498833
the regulation term lambda/alpha is 1.5926706798407433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3378811096439443
the lambda is 0.5945364448255014
the regulation term lambda/alpha is 1.7596024987961532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31831338178167684
the lambda is 0.5325042457805198
the regulation term lambda/alpha is 1.6728930552651133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33904979961465753
the lambda is 0.5373854747493388
the regulation term lambda/alpha is 1.584975054874231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28378875817083266
the lambda is 0.5498499147557249
the regulation term lambda/alpha is 1.9375324036786936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3441216431174408
the lambda is 0.5437050888710395
the regulation term lambda/alpha is 1.5799793466797014
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29781815065239015
the lambda is 0.4749275206789637
the regulation term lambda/alpha is 1.5946896441288212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3210385486917934
the lambda is 0.5190714958902295
the regulation term lambda/alpha is 1.616850991899274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29404844325048185
the lambda is 0.5182227910049609
the regulation term lambda/alpha is 1.7623721631592475
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30683185368202626
the lambda is 0.4609975019834138
the regulation term lambda/alpha is 1.5024434277320873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2990106472008087
the lambda is 0.49969536584435953
the regulation term lambda/alpha is 1.6711624503082512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31274706335474867
the lambda is 0.48131391248144423
the regulation term lambda/alpha is 1.538987791982847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012307795686325
the lambda is 0.4707566187132723
the regulation term lambda/alpha is 1.562777281217423
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3449332510609231
the lambda is 0.48931302620956635
the regulation term lambda/alpha is 1.418573085385562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.291439165739077
the lambda is 0.5542750831882182
the regulation term lambda/alpha is 1.9018551668668167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009296179671753
the lambda is 0.5078701951377466
the regulation term lambda/alpha is 1.6876710194512785
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2805271151251682
the lambda is 0.4916997836104187
the regulation term lambda/alpha is 1.7527709697190146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3082761238111277
the lambda is 0.48835194531596626
the regulation term lambda/alpha is 1.5841380749135348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33558639508472815
the lambda is 0.5261801838937477
the regulation term lambda/alpha is 1.5679425376016771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31267585005652543
the lambda is 0.4838211764339705
the regulation term lambda/alpha is 1.5473570355577684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29154877622490893
the lambda is 0.4568342740210843
the regulation term lambda/alpha is 1.566922282907027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3680386917748217
the lambda is 0.5191483223817464
the regulation term lambda/alpha is 1.4105808274619631
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29924740336907923
the lambda is 0.4996620567954911
the regulation term lambda/alpha is 1.6697289639610633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172003074950027
the lambda is 0.5110214183558462
the regulation term lambda/alpha is 1.6110369576608845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25842887068503284
the lambda is 0.5122330901500103
the regulation term lambda/alpha is 1.9821047423695481
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29116489299469495
the lambda is 0.5051989190400878
the regulation term lambda/alpha is 1.7350955805282906
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31127587227617737
the lambda is 0.5366696750014611
the regulation term lambda/alpha is 1.7240966062583374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33516040883863907
the lambda is 0.5046529665550409
the regulation term lambda/alpha is 1.5057057851901683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2758178025937142
the lambda is 0.5133190530581924
the regulation term lambda/alpha is 1.8610802066838406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3600737405363139
the lambda is 0.5238310172668047
the regulation term lambda/alpha is 1.4547881677974672
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3030873106953114
the lambda is 0.5134365506364277
the regulation term lambda/alpha is 1.6940219287259335
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3513628718831911
the lambda is 0.5352550672127951
the regulation term lambda/alpha is 1.5233683181834252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32141180948527054
the lambda is 0.4574997688477963
the regulation term lambda/alpha is 1.4234068423947015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3554152023387495
the lambda is 0.5211766413456569
the regulation term lambda/alpha is 1.466388150861703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38110037798006396
the lambda is 0.5508338793493472
the regulation term lambda/alpha is 1.4453774154434513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27637942211892147
the lambda is 0.45248519532109976
the regulation term lambda/alpha is 1.6371884413536508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29687106900314064
the lambda is 0.5124466091090166
the regulation term lambda/alpha is 1.7261588029771786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2866204052086237
the lambda is 0.5081396686551307
the regulation term lambda/alpha is 1.7728663396636704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3170742836084006
the lambda is 0.4932420239443087
the regulation term lambda/alpha is 1.5556040002079836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30813476990567384
the lambda is 0.5314350105912451
the regulation term lambda/alpha is 1.724683685498809
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177749678015415
the lambda is 0.5109926997634395
the regulation term lambda/alpha is 1.6080332044359371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33856827955175406
the lambda is 0.5080868677715181
the regulation term lambda/alpha is 1.5006924701989135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3304484678413673
the lambda is 0.5014115145990852
the regulation term lambda/alpha is 1.5173667406434737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.353317927967895
the lambda is 0.5571942967103856
the regulation term lambda/alpha is 1.5770337495045432
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3199901224954304
the lambda is 0.5608258875543575
the regulation term lambda/alpha is 1.752634997545483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171834893802482
the lambda is 0.45421775568305994
the regulation term lambda/alpha is 1.4320346767436287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2965088104468902
the lambda is 0.5466288227223958
the regulation term lambda/alpha is 1.8435500176150965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28621058966681556
the lambda is 0.5122239542239447
the regulation term lambda/alpha is 1.789675059962794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33123426408066525
the lambda is 0.5089918658332004
the regulation term lambda/alpha is 1.536652215754002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33566684457222384
the lambda is 0.4847729940800506
the regulation term lambda/alpha is 1.444208750190531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.331499914911142
the lambda is 0.5193928001673649
the regulation term lambda/alpha is 1.5667961794397058
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2875951300400024
the lambda is 0.5348948606072419
the regulation term lambda/alpha is 1.8598884498942727
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351583108185507
the lambda is 0.5361734372217202
the regulation term lambda/alpha is 1.5997617242795923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31171170832423867
the lambda is 0.5268057005495457
the regulation term lambda/alpha is 1.6900414276436768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.342491382318038
the lambda is 0.5316000846754262
the regulation term lambda/alpha is 1.5521560895268938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28672666772388017
the lambda is 0.536732649000152
the regulation term lambda/alpha is 1.8719313876902075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33391826521923257
the lambda is 0.5549055549657421
the regulation term lambda/alpha is 1.6618005445177468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39269774974486443
the lambda is 0.612956025754599
the regulation term lambda/alpha is 1.5608849965471823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172293801745383
the lambda is 0.507028298937091
the regulation term lambda/alpha is 1.598301830234407
730
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34499802121023565
the lambda is 0.5294427858156905
the regulation term lambda/alpha is 1.5346255725132334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891881919799164
the lambda is 0.5002321345111216
the regulation term lambda/alpha is 1.7297806355311416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330951924926989
the lambda is 0.49808565104959834
the regulation term lambda/alpha is 1.495325247182953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32035592561556336
the lambda is 0.49180591000911866
the regulation term lambda/alpha is 1.5351859312860046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3029720818003191
the lambda is 0.5600832902937765
the regulation term lambda/alpha is 1.8486300353671286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3392375015936644
the lambda is 0.5381356775038036
the regulation term lambda/alpha is 1.5863095175968418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3422350857072738
the lambda is 0.5819320950731971
the regulation term lambda/alpha is 1.700387012835221
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34449835817046415
the lambda is 0.5242311574520013
the regulation term lambda/alpha is 1.5217232390773894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190040997989245
the lambda is 0.47770274899684895
the regulation term lambda/alpha is 1.4974815348704162
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32024260895541135
the lambda is 0.47092608407805936
the regulation term lambda/alpha is 1.4705291266960303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3305047054953777
the lambda is 0.579289198516283
the regulation term lambda/alpha is 1.7527411528014833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3335921061538695
the lambda is 0.469035225686053
the regulation term lambda/alpha is 1.406014162306677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34943800062435265
the lambda is 0.555578588815882
the regulation term lambda/alpha is 1.5899203516023186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3343137518995083
the lambda is 0.5374522288586697
the regulation term lambda/alpha is 1.6076282408514952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100596742798741
the lambda is 0.4937803388334999
the regulation term lambda/alpha is 1.5925332437387234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3016131925444579
the lambda is 0.5252834499959262
the regulation term lambda/alpha is 1.741579821375019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31907222379552397
the lambda is 0.5344406960008163
the regulation term lambda/alpha is 1.6749834556056822
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31352018854934394
the lambda is 0.5260649576339522
the regulation term lambda/alpha is 1.6779300882282946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217496639474132
the lambda is 0.5636625220370529
the regulation term lambda/alpha is 1.7518667000975576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014990228606685
the lambda is 0.49697282320257297
the regulation term lambda/alpha is 1.6483397474632568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35842655872640156
the lambda is 0.56789355715543
the regulation term lambda/alpha is 1.584407023780069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26646923845741616
the lambda is 0.44839518397552214
the regulation term lambda/alpha is 1.682727757137262
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398477985850621
the lambda is 0.5353658572018369
the regulation term lambda/alpha is 1.575310652094272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32948033343486266
the lambda is 0.5107771648528333
the regulation term lambda/alpha is 1.5502508435873381
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31376135869575966
the lambda is 0.4975098802850107
the regulation term lambda/alpha is 1.585631456827747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31840154460476827
the lambda is 0.5263301003030717
the regulation term lambda/alpha is 1.6530387783024265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32551974525609984
the lambda is 0.5105351433997167
the regulation term lambda/alpha is 1.5683692029128913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3343463714764464
the lambda is 0.6044096969293558
the regulation term lambda/alpha is 1.807735176728049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33176637434508405
the lambda is 0.5761388208244845
the regulation term lambda/alpha is 1.7365799109743971
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30186495332303404
the lambda is 0.5490255538853624
the regulation term lambda/alpha is 1.8187787215491524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2845385365498978
the lambda is 0.5064827112228791
the regulation term lambda/alpha is 1.7800144661039976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31166273282618545
the lambda is 0.46810764692332785
the regulation term lambda/alpha is 1.5019686270427202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29743836244410904
the lambda is 0.5014093186088381
the regulation term lambda/alpha is 1.6857587383438368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3104445616582651
the lambda is 0.5396959178881175
the regulation term lambda/alpha is 1.7384614985854077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240311371750587
the lambda is 0.47404655926810346
the regulation term lambda/alpha is 1.4629660698687685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31365959957954764
the lambda is 0.48086335956415044
the regulation term lambda/alpha is 1.5330739445205408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2769561092874949
the lambda is 0.4653030233302218
the regulation term lambda/alpha is 1.6800605140188942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3626175902404014
the lambda is 0.5155811753719725
the regulation term lambda/alpha is 1.421831674051339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.281018206928833
the lambda is 0.5216921923958812
the regulation term lambda/alpha is 1.8564355601628264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3277266463824481
the lambda is 0.5316650802067482
the regulation term lambda/alpha is 1.6222821246774957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2813196966500931
the lambda is 0.5083162536599698
the regulation term lambda/alpha is 1.80689891149789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30696321217636674
the lambda is 0.46056068170583003
the regulation term lambda/alpha is 1.500377450576108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33059701970325217
the lambda is 0.5280068605259085
the regulation term lambda/alpha is 1.5971313383280157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3307225436728293
the lambda is 0.48584285188505577
the regulation term lambda/alpha is 1.4690345765049533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28291469958539317
the lambda is 0.5078596293574701
the regulation term lambda/alpha is 1.795098063486026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29066599666595755
the lambda is 0.4872793198814501
the regulation term lambda/alpha is 1.6764235427284835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330414897126801
the lambda is 0.5427753405025479
the regulation term lambda/alpha is 1.6427084408795614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.274721978540502
the lambda is 0.49197046581037296
the regulation term lambda/alpha is 1.7907939816975444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32391710112196603
the lambda is 0.5395245898314346
the regulation term lambda/alpha is 1.6656255195006973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3565166036481119
the lambda is 0.5125586512314051
the regulation term lambda/alpha is 1.437685218546818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2829910283662786
the lambda is 0.49412083638848314
the regulation term lambda/alpha is 1.746065376139546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.286979704819066
the lambda is 0.5004118932135252
the regulation term lambda/alpha is 1.7437187536624696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3154428385966667
the lambda is 0.47452300394794034
the regulation term lambda/alpha is 1.5043074239979104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989815266246931
the lambda is 0.49318817610602134
the regulation term lambda/alpha is 1.6495606991970206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971500636222265
the lambda is 0.5005007594441694
the regulation term lambda/alpha is 1.6843367063197643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34639231780610974
the lambda is 0.4910557193645086
the regulation term lambda/alpha is 1.4176287813616382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34463359297062024
the lambda is 0.5201615643170864
the regulation term lambda/alpha is 1.5093176490239295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3237005849628963
the lambda is 0.49284641790186934
the regulation term lambda/alpha is 1.522537927938441
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3007308659395946
the lambda is 0.52612777974865
the regulation term lambda/alpha is 1.7494971063406877
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3274743042868816
the lambda is 0.5968249211838653
the regulation term lambda/alpha is 1.8225091659741979
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32735864460671577
the lambda is 0.4978006619716747
the regulation term lambda/alpha is 1.520658367124307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30886938936339636
the lambda is 0.4956945261614742
the regulation term lambda/alpha is 1.604867763630248
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3533574017228779
the lambda is 0.5152660920513317
the regulation term lambda/alpha is 1.4582009306697115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27372143559262685
the lambda is 0.46054946130529706
the regulation term lambda/alpha is 1.68254802663947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2874807649220816
the lambda is 0.5350386471799791
the regulation term lambda/alpha is 1.861128508284703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34352322180001926
the lambda is 0.5521014522839207
the regulation term lambda/alpha is 1.6071735977293682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29883122562166686
the lambda is 0.46585332506302196
the regulation term lambda/alpha is 1.5589178275927973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3658320152601504
the lambda is 0.5017735031444919
the regulation term lambda/alpha is 1.3715953831642393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31088226456583284
the lambda is 0.4985703941256957
the regulation term lambda/alpha is 1.6037273622603767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32353980807397703
the lambda is 0.5612058552274375
the regulation term lambda/alpha is 1.7345805407015584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28886126986980837
the lambda is 0.5436771056536277
the regulation term lambda/alpha is 1.882139152468126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34511634321695495
the lambda is 0.5073547585940498
the regulation term lambda/alpha is 1.4700977469360377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2772423252413702
the lambda is 0.4950616613614025
the regulation term lambda/alpha is 1.785664078998026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31426428566157544
the lambda is 0.4853773921420569
the regulation term lambda/alpha is 1.5444879176145059
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3226281737671067
the lambda is 0.5648316146787626
the regulation term lambda/alpha is 1.7507200567254044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30421596850864063
the lambda is 0.5460285695192646
the regulation term lambda/alpha is 1.794871492762405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37903209430394746
the lambda is 0.5274706111960237
the regulation term lambda/alpha is 1.3916251924910683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31833895773824117
the lambda is 0.468431901034783
the regulation term lambda/alpha is 1.4714878265699354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31776623772635887
the lambda is 0.514382333474423
the regulation term lambda/alpha is 1.618744449236857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33176930840784363
the lambda is 0.5590784625179847
the regulation term lambda/alpha is 1.6851422007689456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31542659318688787
the lambda is 0.5567764774230842
the regulation term lambda/alpha is 1.7651538882557007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2825231542531905
the lambda is 0.5043469694354573
the regulation term lambda/alpha is 1.7851526922408405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28244901853359133
the lambda is 0.4908398712352994
the regulation term lambda/alpha is 1.7377998825544665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2616083851709233
the lambda is 0.5203528651348706
the regulation term lambda/alpha is 1.9890527010244536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31881250318379184
the lambda is 0.4838138360756928
the regulation term lambda/alpha is 1.5175497549315986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3238895652224492
the lambda is 0.49281480744516415
the regulation term lambda/alpha is 1.5215519743795887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27217751556736225
the lambda is 0.5055066848632
the regulation term lambda/alpha is 1.857268348597628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33506592619397096
the lambda is 0.49216724223473907
the regulation term lambda/alpha is 1.4688668818858697
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3227711268722321
the lambda is 0.5134146396692775
the regulation term lambda/alpha is 1.5906461170937107
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202833421521303
the lambda is 0.4551482544267906
the regulation term lambda/alpha is 1.4210800079967982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3515257747862357
the lambda is 0.5637493358945915
the regulation term lambda/alpha is 1.6037211957996818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35634471108961324
the lambda is 0.5214653814114123
the regulation term lambda/alpha is 1.4633734279846646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190998020695168
the lambda is 0.5120764406547434
the regulation term lambda/alpha is 1.6047532381207372
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35400622964598844
the lambda is 0.5231937019257514
the regulation term lambda/alpha is 1.4779223022401413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2981472463958139
the lambda is 0.5048618986271147
the regulation term lambda/alpha is 1.6933307442218362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35826984246219507
the lambda is 0.5001172334352084
the regulation term lambda/alpha is 1.3959233353222613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2917291616836357
the lambda is 0.48625354197661197
the regulation term lambda/alpha is 1.66679785856968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33184219727632575
the lambda is 0.5280274640249822
the regulation term lambda/alpha is 1.5912004813097733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35341329489149204
the lambda is 0.5764780551347473
the regulation term lambda/alpha is 1.6311725208632644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2837159842752233
the lambda is 0.4880464207149586
the regulation term lambda/alpha is 1.7201936012231203
740
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30340936519372674
the lambda is 0.4664354957029383
the regulation term lambda/alpha is 1.5373141017091527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26068218509127455
the lambda is 0.5449791775268548
the regulation term lambda/alpha is 2.0905884970084827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28875901063449133
the lambda is 0.48151234534406856
the regulation term lambda/alpha is 1.6675231858082613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31050273995661143
the lambda is 0.5777599912557618
the regulation term lambda/alpha is 1.8607242929208805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3065065829760357
the lambda is 0.4924194168049027
the regulation term lambda/alpha is 1.6065541301714965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323008406001967
the lambda is 0.4609018704826195
the regulation term lambda/alpha is 1.426903640643373
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25712760495342313
the lambda is 0.4801530559851126
the regulation term lambda/alpha is 1.867372645858421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3241187758182894
the lambda is 0.5054184007431148
the regulation term lambda/alpha is 1.559361686058161
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32277416573609163
the lambda is 0.542029585028285
the regulation term lambda/alpha is 1.6792842877997312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3091958766614218
the lambda is 0.5219584078561587
the regulation term lambda/alpha is 1.6881156808818567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34931271201577163
the lambda is 0.5053952092306176
the regulation term lambda/alpha is 1.4468274180866307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482211751146414
the lambda is 0.5127564752747871
the regulation term lambda/alpha is 1.4725022827976424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37135741144207735
the lambda is 0.5048519892828849
the regulation term lambda/alpha is 1.3594773491187733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.286699893101925
the lambda is 0.5331538416988235
the regulation term lambda/alpha is 1.8596234408405634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2938419620567876
the lambda is 0.5100528023418845
the regulation term lambda/alpha is 1.735806549791933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.337672943966813
the lambda is 0.4931997491193224
the regulation term lambda/alpha is 1.460584147860525
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3101260044037746
the lambda is 0.49235968995090656
the regulation term lambda/alpha is 1.587611754446329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3071687424484756
the lambda is 0.5360031229403095
the regulation term lambda/alpha is 1.7449793838649403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2878185451991044
the lambda is 0.5158348708484141
the regulation term lambda/alpha is 1.7922224938340048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2856894957581665
the lambda is 0.44954136474795586
the regulation term lambda/alpha is 1.5735313038197543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31255306425537904
the lambda is 0.4580619192027047
the regulation term lambda/alpha is 1.465549282948108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36960275060212977
the lambda is 0.5160731439894631
the regulation term lambda/alpha is 1.39629140516058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31297575266161076
the lambda is 0.5128871934541057
the regulation term lambda/alpha is 1.6387441809546157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31222169812384
the lambda is 0.49238812626183487
the regulation term lambda/alpha is 1.577046468008554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29962287068086757
the lambda is 0.49832304316171927
the regulation term lambda/alpha is 1.6631675747225918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31231832314811153
the lambda is 0.4266000814944317
the regulation term lambda/alpha is 1.3659143568471455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482255072043272
the lambda is 0.533840757701874
the regulation term lambda/alpha is 1.5330317471219417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421521694614044
the lambda is 0.504957511986603
the regulation term lambda/alpha is 1.4758272986591816
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3203104290018984
the lambda is 0.47730249709376854
the regulation term lambda/alpha is 1.4901247473616905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3348727699424407
the lambda is 0.447108403068163
the regulation term lambda/alpha is 1.3351590311299837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3516705335465342
the lambda is 0.5301245873705374
the regulation term lambda/alpha is 1.5074467059390106
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.33585779649599956
the lambda is 0.47474290363420335
the regulation term lambda/alpha is 1.413523546534249
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34373899958281406
the lambda is 0.5128715130642867
the regulation term lambda/alpha is 1.4920376032011025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31710702974415667
the lambda is 0.519810034142779
the regulation term lambda/alpha is 1.6392258303518659
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33208998586803884
the lambda is 0.48315555581500974
the regulation term lambda/alpha is 1.4548934818136887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33996382169185035
the lambda is 0.48829588810988117
the regulation term lambda/alpha is 1.4363172106956774
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3230078428409288
the lambda is 0.5588787706829216
the regulation term lambda/alpha is 1.730232819635131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32668031070233183
the lambda is 0.5345121021161443
the regulation term lambda/alpha is 1.6361931974626622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33519140242305717
the lambda is 0.5016238901919414
the regulation term lambda/alpha is 1.4965297038222471
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3446982191995584
the lambda is 0.5644291150019092
the regulation term lambda/alpha is 1.6374587496059576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31488996718091977
the lambda is 0.5444468511071122
the regulation term lambda/alpha is 1.72900666217257
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33731835273058647
the lambda is 0.5139353194059268
the regulation term lambda/alpha is 1.5235913351456538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.333198370011751
the lambda is 0.5250191667391759
the regulation term lambda/alpha is 1.5756954835062966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30613547664517765
the lambda is 0.5005981706050682
the regulation term lambda/alpha is 1.6352177672804644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3056390823293213
the lambda is 0.5221921355012957
the regulation term lambda/alpha is 1.708525400356496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30781586714624576
the lambda is 0.47323124076846446
the regulation term lambda/alpha is 1.5373841678656173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3139792190977784
the lambda is 0.4943008728394733
the regulation term lambda/alpha is 1.5743107912041139
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28322101704327685
the lambda is 0.44665447349793563
the regulation term lambda/alpha is 1.57705271367515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38593992423229123
the lambda is 0.562750713813033
the regulation term lambda/alpha is 1.458130342261046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177365843478291
the lambda is 0.4443629750255309
the regulation term lambda/alpha is 1.3985263168155757
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301930324427154
the lambda is 0.5484597581978753
the regulation term lambda/alpha is 1.6610276544615659
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34589786428247704
the lambda is 0.5324882157176652
the regulation term lambda/alpha is 1.5394377089382936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29398522400816945
the lambda is 0.5167057817039661
the regulation term lambda/alpha is 1.7575909927010738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34520397909787004
the lambda is 0.5041794364544742
the regulation term lambda/alpha is 1.460526143910793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3573553898052121
the lambda is 0.5370019946988572
the regulation term lambda/alpha is 1.5027113344829282
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058761169836665
the lambda is 0.5563268616929531
the regulation term lambda/alpha is 1.818797973437921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31872209416232605
the lambda is 0.5511545615070017
the regulation term lambda/alpha is 1.7292637429342979
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3335044312231509
the lambda is 0.4623377182527518
the regulation term lambda/alpha is 1.3863015749358885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28918927461051186
the lambda is 0.4641532212849651
the regulation term lambda/alpha is 1.6050153378271015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105866003314444
the lambda is 0.5387427772901606
the regulation term lambda/alpha is 1.7345976185554621
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3632844212821986
the lambda is 0.5335904018958516
the regulation term lambda/alpha is 1.4687951660920786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35374147838121506
the lambda is 0.5414784687890418
the regulation term lambda/alpha is 1.5307180579075577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32757820142301486
the lambda is 0.5374705264834675
the regulation term lambda/alpha is 1.6407395978995876
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3684244833652584
the lambda is 0.5714653122065979
the regulation term lambda/alpha is 1.5511056892493313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3293108354081295
the lambda is 0.5380988747542806
the regulation term lambda/alpha is 1.634015091205216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2853497634216794
the lambda is 0.5479523078817722
the regulation term lambda/alpha is 1.920283028488194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30327567430640906
the lambda is 0.5378161293908568
the regulation term lambda/alpha is 1.7733572948797867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141475476402665
the lambda is 0.5244311697589038
the regulation term lambda/alpha is 1.6693785251490654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3307186939571732
the lambda is 0.49919391303658006
the regulation term lambda/alpha is 1.5094215179176529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31197059944026356
the lambda is 0.48078466177814666
the regulation term lambda/alpha is 1.5411217039066138
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.2909034543429652
the lambda is 0.5140458431186186
the regulation term lambda/alpha is 1.7670668238699432
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2791186658695683
the lambda is 0.5560011304426371
the regulation term lambda/alpha is 1.9919883491505923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3735352899016696
the lambda is 0.592442345304665
the regulation term lambda/alpha is 1.5860411621633421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3451505132670312
the lambda is 0.5421236317170721
the regulation term lambda/alpha is 1.5706876011441695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2723196933077363
the lambda is 0.5333932682046281
the regulation term lambda/alpha is 1.9587025151422457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30832849642505156
the lambda is 0.5143485767229999
the regulation term lambda/alpha is 1.668183715377173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3418016099890905
the lambda is 0.549750954385
the regulation term lambda/alpha is 1.6083919394134707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3266634612170197
the lambda is 0.5198477914456581
the regulation term lambda/alpha is 1.5913864057795428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3162846369463927
the lambda is 0.5407190677721561
the regulation term lambda/alpha is 1.7095963717763596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2903368274220111
the lambda is 0.47510296539730307
the regulation term lambda/alpha is 1.6363854686154926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3234180793177747
the lambda is 0.5621061938625566
the regulation term lambda/alpha is 1.7380172284996431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36002608025379873
the lambda is 0.484016479739209
the regulation term lambda/alpha is 1.344392826758561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419540403493694
the lambda is 0.49292157270294057
the regulation term lambda/alpha is 1.4414848621157683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30975474873105274
the lambda is 0.5275857621649497
the regulation term lambda/alpha is 1.7032370426160297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29720605990990806
the lambda is 0.48254445201683005
the regulation term lambda/alpha is 1.6236023322105329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240192429835683
the lambda is 0.5423703677228934
the regulation term lambda/alpha is 1.673883201283814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32984552848804577
the lambda is 0.5156749311079485
the regulation term lambda/alpha is 1.5633831189760619
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3136921346979028
the lambda is 0.5124331704473711
the regulation term lambda/alpha is 1.633554411368533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29892932218172585
the lambda is 0.49489200366497155
the regulation term lambda/alpha is 1.655548542555205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35561057929248596
the lambda is 0.5305858263807387
the regulation term lambda/alpha is 1.4920417368807732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36012324348610175
the lambda is 0.5259550731982471
the regulation term lambda/alpha is 1.4604863271441275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879597803056942
the lambda is 0.4537608553632504
the regulation term lambda/alpha is 1.575778585750913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124635550704136
the lambda is 0.4609031158518109
the regulation term lambda/alpha is 1.4750619980238862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29703444190915856
the lambda is 0.5165105915366205
the regulation term lambda/alpha is 1.738891248492267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2898878958703523
the lambda is 0.4844552069468133
the regulation term lambda/alpha is 1.671181218147439
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3471422817308571
the lambda is 0.596888743209972
the regulation term lambda/alpha is 1.7194354436857273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156808211773471
the lambda is 0.500582363725438
the regulation term lambda/alpha is 1.5857230789583336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2928983944557741
the lambda is 0.5116338437486448
the regulation term lambda/alpha is 1.7467963410973852
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3447763912584909
the lambda is 0.510006208022019
the regulation term lambda/alpha is 1.4792376187952194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2923700542345401
the lambda is 0.5048456612314761
the regulation term lambda/alpha is 1.7267351902821328
750
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112287107888283
the lambda is 0.5026589524428814
the regulation term lambda/alpha is 1.615078991809147
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27540995137499463
the lambda is 0.5170548772496857
the regulation term lambda/alpha is 1.877400851596936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34803428048518487
the lambda is 0.5430693798557543
the regulation term lambda/alpha is 1.5603904853817172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142153810402096
the lambda is 0.5135399608907122
the regulation term lambda/alpha is 1.6343565333773251
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105128130738693
the lambda is 0.5358259096824168
the regulation term lambda/alpha is 1.7256161005985502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30822731474171516
the lambda is 0.4868419461577233
the regulation term lambda/alpha is 1.5794899506738447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29447085000117007
the lambda is 0.5294324569855519
the regulation term lambda/alpha is 1.7979112600905935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31884613527417094
the lambda is 0.49391598944202053
the regulation term lambda/alpha is 1.549073157237141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3053718763041848
the lambda is 0.4563622019541451
the regulation term lambda/alpha is 1.494447384865124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31569833885451615
the lambda is 0.5008156047507815
the regulation term lambda/alpha is 1.5863738991087097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3077613913393079
the lambda is 0.47561763515615163
the regulation term lambda/alpha is 1.5454103358656242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32948609816219354
the lambda is 0.5484473976947704
the regulation term lambda/alpha is 1.6645539849902573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.369363678569278
the lambda is 0.5400771141958371
the regulation term lambda/alpha is 1.4621825196451743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009330981224179
the lambda is 0.5223772814636058
the regulation term lambda/alpha is 1.735858517134947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.256719421840623
the lambda is 0.4770263492521236
the regulation term lambda/alpha is 1.858162291859133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32429016360027796
the lambda is 0.48275366249005164
the regulation term lambda/alpha is 1.4886472569211096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3010972799579845
the lambda is 0.5296216278043422
the regulation term lambda/alpha is 1.758971810965035
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3113425248113449
the lambda is 0.49092219238049306
the regulation term lambda/alpha is 1.5767913254958115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36483949410217
the lambda is 0.580828753699477
the regulation term lambda/alpha is 1.5920117286886193
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32014687980270023
the lambda is 0.531941829054195
the regulation term lambda/alpha is 1.6615555628154786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398636835734664
the lambda is 0.5873657871785793
the regulation term lambda/alpha is 1.728239337027052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3408685312335623
the lambda is 0.5182672733688449
the regulation term lambda/alpha is 1.520431561967008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3426421019411469
the lambda is 0.5089914870136291
the regulation term lambda/alpha is 1.4854902072164347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35256580232297596
the lambda is 0.5044358351988667
the regulation term lambda/alpha is 1.4307565619673082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3672162215829443
the lambda is 0.5455369284553641
the regulation term lambda/alpha is 1.485601387933626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3475196062759368
the lambda is 0.5402922865969094
the regulation term lambda/alpha is 1.5547102288321184
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32078483894609167
the lambda is 0.47446016871164554
the regulation term lambda/alpha is 1.4790604514553733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169831779836508
the lambda is 0.46803828265265796
the regulation term lambda/alpha is 1.4765398139733403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28331525778607985
the lambda is 0.4753667203572923
the regulation term lambda/alpha is 1.6778719369792041
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33246122186989546
the lambda is 0.4719900566716684
the regulation term lambda/alpha is 1.4196845394990931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31867481477951565
the lambda is 0.5172834497070278
the regulation term lambda/alpha is 1.6232329186883665
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3148474562547192
the lambda is 0.5645054536229952
the regulation term lambda/alpha is 1.7929490691717598
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32089576034424117
the lambda is 0.4784364394974023
the regulation term lambda/alpha is 1.4909403570310784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3083050419136783
the lambda is 0.5118222892843164
the regulation term lambda/alpha is 1.6601165070392214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30178491144592345
the lambda is 0.5230717684892827
the regulation term lambda/alpha is 1.7332601752126082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3207440822833256
the lambda is 0.5031469248383715
the regulation term lambda/alpha is 1.5686865405483068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28230025231575445
the lambda is 0.48901794611255706
the regulation term lambda/alpha is 1.732261810257214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2916560178704101
the lambda is 0.5366862426403507
the regulation term lambda/alpha is 1.840134301219231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26201078577023396
the lambda is 0.44206602647457766
the regulation term lambda/alpha is 1.6872054529168894
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30311475344450167
the lambda is 0.48909329432579
the regulation term lambda/alpha is 1.6135581946041428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3212171557507496
the lambda is 0.4853683704925611
the regulation term lambda/alpha is 1.5110287909690154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32050244072976486
the lambda is 0.48836091233998696
the regulation term lambda/alpha is 1.523735392554323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3126651713675003
the lambda is 0.5365685578404625
the regulation term lambda/alpha is 1.7161123367008815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33060758471803753
the lambda is 0.509301937716375
the regulation term lambda/alpha is 1.5405028839575443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.345569118119231
the lambda is 0.5245389395106357
the regulation term lambda/alpha is 1.5178987704846214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36564336069628206
the lambda is 0.556086481055488
the regulation term lambda/alpha is 1.5208439174078032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012893811568908
the lambda is 0.48941464219242453
the regulation term lambda/alpha is 1.624400569024937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29014800268336877
the lambda is 0.562215855433325
the regulation term lambda/alpha is 1.937686457372781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3906442909900664
the lambda is 0.5448245952150604
the regulation term lambda/alpha is 1.3946820874669192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945378788930427
the lambda is 0.5131133177757075
the regulation term lambda/alpha is 1.742096193888995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32924668290287307
the lambda is 0.5077766375993809
the regulation term lambda/alpha is 1.5422376715308432
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3749530619786146
the lambda is 0.5346658404164543
the regulation term lambda/alpha is 1.4259540583427717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33290496763393507
the lambda is 0.5210468985640588
the regulation term lambda/alpha is 1.5651520680730908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3221275010799823
the lambda is 0.5749463891325844
the regulation term lambda/alpha is 1.7848410558086092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3403491312513991
the lambda is 0.5254025939544297
the regulation term lambda/alpha is 1.5437165713413874
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34684304977184166
the lambda is 0.5508927794674349
the regulation term lambda/alpha is 1.5883056611046986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3328214843023887
the lambda is 0.5088057692840593
the regulation term lambda/alpha is 1.528764798193671
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453280934885646
the lambda is 0.5520499687102924
the regulation term lambda/alpha is 1.598624551896104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3115285443827725
the lambda is 0.5304675128654993
the regulation term lambda/alpha is 1.702789431114596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2896479978440641
the lambda is 0.4665893350306015
the regulation term lambda/alpha is 1.610884033390751
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3118660297075151
the lambda is 0.4824639974925386
the regulation term lambda/alpha is 1.5470232456706476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31367208028003607
the lambda is 0.44996169334710573
the regulation term lambda/alpha is 1.4344971122243166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33350303853380353
the lambda is 0.49683234290042555
the regulation term lambda/alpha is 1.4897385795484053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31898901037631394
the lambda is 0.5345718013404654
the regulation term lambda/alpha is 1.675831404692678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2977465444612485
the lambda is 0.5710445663097962
the regulation term lambda/alpha is 1.9178881398709808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30765176586482595
the lambda is 0.4821680989255182
the regulation term lambda/alpha is 1.5672528242121975
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3256377766278324
the lambda is 0.571871065400912
the regulation term lambda/alpha is 1.7561570138543747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3291860133234234
the lambda is 0.5057984185335035
the regulation term lambda/alpha is 1.5365124824928675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33700585507402075
the lambda is 0.5087344451191973
the regulation term lambda/alpha is 1.5095715325404588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3366190602063506
the lambda is 0.5443082314221563
the regulation term lambda/alpha is 1.6169857734392414
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27771753397731386
the lambda is 0.4740609277258274
the regulation term lambda/alpha is 1.7069895477487296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31792555920744575
the lambda is 0.4776906521738945
the regulation term lambda/alpha is 1.5025235887442518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330010379145251
the lambda is 0.5119790093774951
the regulation term lambda/alpha is 1.5514027489182463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35549180234835065
the lambda is 0.5741117411664921
the regulation term lambda/alpha is 1.614978847258799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240023463157943
the lambda is 0.5329594713018629
the regulation term lambda/alpha is 1.6449247277438082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28033624647209404
the lambda is 0.46994469725539434
the regulation term lambda/alpha is 1.6763608101679237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3474237901931721
the lambda is 0.5010547052357462
the regulation term lambda/alpha is 1.4422003310629747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33912778284068285
the lambda is 0.5169682577834551
the regulation term lambda/alpha is 1.5244055012334954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2723884597355815
the lambda is 0.5040777525485838
the regulation term lambda/alpha is 1.8505840997739493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2635911227575544
the lambda is 0.4666487933384726
the regulation term lambda/alpha is 1.770350945269452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33313443443908874
the lambda is 0.5761819813238477
the regulation term lambda/alpha is 1.729577977413195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32644946501082994
the lambda is 0.462088422974416
the regulation term lambda/alpha is 1.4154975654779713
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.42426572644075644
the lambda is 0.5566059907621975
the regulation term lambda/alpha is 1.3119277756222922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3054123335317552
the lambda is 0.5300340503825381
the regulation term lambda/alpha is 1.7354703533196638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33780224162120176
the lambda is 0.4716859772038378
the regulation term lambda/alpha is 1.3963376173588808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002786264074621
the lambda is 0.4740484488382593
the regulation term lambda/alpha is 1.5786952754839128
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3033940760427988
the lambda is 0.5212623340830363
the regulation term lambda/alpha is 1.7181032038657986
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35703903201033177
the lambda is 0.5300789519731954
the regulation term lambda/alpha is 1.4846526694533957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.326293672746104
the lambda is 0.5163728848576319
the regulation term lambda/alpha is 1.5825402941828803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072300762228178
the lambda is 0.5079728637524311
the regulation term lambda/alpha is 1.6533956245352268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2865337321398472
the lambda is 0.5929773885863469
the regulation term lambda/alpha is 2.0694854464706975
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3279912559059176
the lambda is 0.5196857385225623
the regulation term lambda/alpha is 1.584449978970266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.355489138814046
the lambda is 0.5143723940270267
the regulation term lambda/alpha is 1.4469426428695802
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32412271233733003
the lambda is 0.48384626105335016
the regulation term lambda/alpha is 1.4927872766589345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492422412926725
the lambda is 0.542467183891625
the regulation term lambda/alpha is 1.5532691059470833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002784927278688
the lambda is 0.5362393471745497
the regulation term lambda/alpha is 1.785806709974808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3515578661215276
the lambda is 0.5479201583123023
the regulation term lambda/alpha is 1.5585489932485128
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29049021124003643
the lambda is 0.4950620454970498
the regulation term lambda/alpha is 1.704229699802079
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3103111958985384
the lambda is 0.4815874353413871
the regulation term lambda/alpha is 1.5519499190059853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3719390357944484
the lambda is 0.5537122127377037
the regulation term lambda/alpha is 1.488717664589828
760
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3163220456419851
the lambda is 0.536524013797718
the regulation term lambda/alpha is 1.69613222091058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.290131251648974
the lambda is 0.5226589332366983
the regulation term lambda/alpha is 1.8014568588049125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3077160130615573
the lambda is 0.4818975907618094
the regulation term lambda/alpha is 1.5660465179152303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30864714532988996
the lambda is 0.5389299731145423
the regulation term lambda/alpha is 1.7461038641343019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29962170014490164
the lambda is 0.5453853961105597
the regulation term lambda/alpha is 1.8202466505156434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099304659746461
the lambda is 0.5006310217416869
the regulation term lambda/alpha is 1.6153010971907524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29958297919510574
the lambda is 0.48228958966492363
the regulation term lambda/alpha is 1.6098697962103807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29244677829824595
the lambda is 0.5209066173580824
the regulation term lambda/alpha is 1.7812014219792371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32983119347947637
the lambda is 0.5301423393876158
the regulation term lambda/alpha is 1.6073141348306212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34627218860799625
the lambda is 0.49931341456556094
the regulation term lambda/alpha is 1.441967997986745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289373649711277
the lambda is 0.5129283813384975
the regulation term lambda/alpha is 1.5593496998540117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32365639361964416
the lambda is 0.49595229199427426
the regulation term lambda/alpha is 1.5323420200285292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29556888655026387
the lambda is 0.501248643920168
the regulation term lambda/alpha is 1.6958775660405196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31430351628680137
the lambda is 0.4686455753929603
the regulation term lambda/alpha is 1.4910605548724505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2827996923573906
the lambda is 0.46293259785432567
the regulation term lambda/alpha is 1.636962876428064
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2838979200445493
the lambda is 0.4896446991048785
the regulation term lambda/alpha is 1.7247209807949402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30323203660792714
the lambda is 0.5199907380893787
the regulation term lambda/alpha is 1.7148278391234635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142402883662465
the lambda is 0.514855185263245
the regulation term lambda/alpha is 1.6384124007141383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33968578635986735
the lambda is 0.5269682915245048
the regulation term lambda/alpha is 1.5513404230762484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3158142665528929
the lambda is 0.5465311580140025
the regulation term lambda/alpha is 1.7305461339013604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3100599991306275
the lambda is 0.44921597232638727
the regulation term lambda/alpha is 1.4488033722051767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2837941629085068
the lambda is 0.4843951312973199
the regulation term lambda/alpha is 1.7068537503834618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29769928847316823
the lambda is 0.523624713833063
the regulation term lambda/alpha is 1.7589048214344574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3372999831676809
the lambda is 0.5482087341780896
the regulation term lambda/alpha is 1.6252853884832845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2908244309327905
the lambda is 0.5098512079036506
the regulation term lambda/alpha is 1.7531237188992461
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36863003988006254
the lambda is 0.5061712242553974
the regulation term lambda/alpha is 1.3731144223082992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3446353312184874
the lambda is 0.5233536448186237
the regulation term lambda/alpha is 1.5185722339269818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2803608928650659
the lambda is 0.4955824910679744
the regulation term lambda/alpha is 1.767659126790169
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3079639253045689
the lambda is 0.4953155727605365
the regulation term lambda/alpha is 1.608355823724098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2942099599941758
the lambda is 0.5517872330562476
the regulation term lambda/alpha is 1.875487944280237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3059393877022827
the lambda is 0.5306691601888938
the regulation term lambda/alpha is 1.7345565217163252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32603278264436525
the lambda is 0.5262030481608324
the regulation term lambda/alpha is 1.6139574796526268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27649572335169964
the lambda is 0.5222800598883323
the regulation term lambda/alpha is 1.8889263586330323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32024642581932866
the lambda is 0.5384585396792166
the regulation term lambda/alpha is 1.6813881319724557
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3332829957601276
the lambda is 0.5582651224011983
the regulation term lambda/alpha is 1.67504832080601
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.307297672053903
the lambda is 0.5120123873552759
the regulation term lambda/alpha is 1.6661772408918993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32768756342322075
the lambda is 0.5668929588479403
the regulation term lambda/alpha is 1.7299800850720015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3690463602999241
the lambda is 0.523882055844846
the regulation term lambda/alpha is 1.4195562189506135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3649911433677172
the lambda is 0.5193286783016918
the regulation term lambda/alpha is 1.422852821879254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30836486834540994
the lambda is 0.5123688561996219
the regulation term lambda/alpha is 1.661566892975954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.360868745287133
the lambda is 0.4988684286115538
the regulation term lambda/alpha is 1.3824096298908302
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3659139688314015
the lambda is 0.5437034749282537
the regulation term lambda/alpha is 1.4858778872658192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3507048859776525
the lambda is 0.5627304198442672
the regulation term lambda/alpha is 1.604569660543952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3198326709932138
the lambda is 0.5198461652333067
the regulation term lambda/alpha is 1.62536917701049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098241268093931
the lambda is 0.44722038152797805
the regulation term lambda/alpha is 1.4434653173511969
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35531375845826896
the lambda is 0.4959564833708358
the regulation term lambda/alpha is 1.3958268475806437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3132927754867963
the lambda is 0.5470308164901667
the regulation term lambda/alpha is 1.7460690424162726
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27794277754417485
the lambda is 0.4737264124789348
the regulation term lambda/alpha is 1.7044026711708424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491301445750545
the lambda is 0.5725300886921665
the regulation term lambda/alpha is 1.6398758388194303
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3251634160503598
the lambda is 0.5028452484769761
the regulation term lambda/alpha is 1.546438571057138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28326165793817754
the lambda is 0.4819252362457199
the regulation term lambda/alpha is 1.7013429906242417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2730623867415416
the lambda is 0.4508277998537957
the regulation term lambda/alpha is 1.6510065894960195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30214650253810404
the lambda is 0.49901860810873655
the regulation term lambda/alpha is 1.6515783036270781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125202697837854
the lambda is 0.4736484833818224
the regulation term lambda/alpha is 1.5155768414941926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34204205916485675
the lambda is 0.5178366837300155
the regulation term lambda/alpha is 1.5139561637372483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3589961050970519
the lambda is 0.5689500154914824
the regulation term lambda/alpha is 1.5848361790378507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35400520356155746
the lambda is 0.5274155144133577
the regulation term lambda/alpha is 1.4898524346737354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29633703695290264
the lambda is 0.4917607793761121
the regulation term lambda/alpha is 1.6594644545030952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35501486940097216
the lambda is 0.4984220421774102
the regulation term lambda/alpha is 1.403946947400861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202674670495766
the lambda is 0.5266753188621794
the regulation term lambda/alpha is 1.644485853384076
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33022757048532325
the lambda is 0.507520822128785
the regulation term lambda/alpha is 1.536882039809397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31657056611231205
the lambda is 0.4523420030478636
the regulation term lambda/alpha is 1.4288820612822954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29793151798785433
the lambda is 0.5007381660443974
the regulation term lambda/alpha is 1.6807156538060897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34273119816628667
the lambda is 0.5535935146648849
the regulation term lambda/alpha is 1.6152410916390865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31582477650720214
the lambda is 0.5097727733516972
the regulation term lambda/alpha is 1.6141000050389405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3227136569668255
the lambda is 0.540922996375386
the regulation term lambda/alpha is 1.6761701424708904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3411665812844567
the lambda is 0.577328010884662
the regulation term lambda/alpha is 1.6922173581922417
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482278669681383
the lambda is 0.5750887322135052
the regulation term lambda/alpha is 1.6514724603189899
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2779108362515172
the lambda is 0.4674461757218701
the regulation term lambda/alpha is 1.682000536671474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2896545130393023
the lambda is 0.45771502691254234
the regulation term lambda/alpha is 1.5802102377408374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33281947560186587
the lambda is 0.5302970252566719
the regulation term lambda/alpha is 1.5933473373145923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3101301898575001
the lambda is 0.4920840104316315
the regulation term lambda/alpha is 1.5867014129057744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2959739088913385
the lambda is 0.4836439796564752
the regulation term lambda/alpha is 1.6340764004101334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2868513160409572
the lambda is 0.5549412710341758
the regulation term lambda/alpha is 1.9345955204017267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112768364217594
the lambda is 0.514787643715386
the regulation term lambda/alpha is 1.653793612249011
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090584131525398
the lambda is 0.5012027537637934
the regulation term lambda/alpha is 1.6217088176027692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3122114036688379
the lambda is 0.48644317134154846
the regulation term lambda/alpha is 1.558057026826342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33761447188586785
the lambda is 0.5240017183881812
the regulation term lambda/alpha is 1.5520712588568255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026616870471572
the lambda is 0.5535379127026763
the regulation term lambda/alpha is 1.8288998455771857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38018843544887515
the lambda is 0.610526704626019
the regulation term lambda/alpha is 1.6058529079275952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023742559492235
the lambda is 0.4948720202067482
the regulation term lambda/alpha is 1.6366208778364058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3425699200349542
the lambda is 0.5120670980031387
the regulation term lambda/alpha is 1.4947812637808067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3076310499050762
the lambda is 0.4839303503609658
the regulation term lambda/alpha is 1.5730868210809317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27801317178636414
the lambda is 0.5732671191745299
the regulation term lambda/alpha is 2.0620142401563983
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3307887652330039
the lambda is 0.48703515653361357
the regulation term lambda/alpha is 1.472344915313407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33420465786296205
the lambda is 0.5221022550009023
the regulation term lambda/alpha is 1.5622231549357586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3561765751112994
the lambda is 0.5292617866233542
the regulation term lambda/alpha is 1.4859533826949975
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3602723655634911
the lambda is 0.5071012312304963
the regulation term lambda/alpha is 1.4075496199586517
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36880883920922075
the lambda is 0.5123770223527566
the regulation term lambda/alpha is 1.3892753315006405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3430033701147394
the lambda is 0.49877952295342387
the regulation term lambda/alpha is 1.4541534177538114
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3027734713336928
the lambda is 0.476519100618832
the regulation term lambda/alpha is 1.5738469375133946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3329670951443464
the lambda is 0.5515841784204443
the regulation term lambda/alpha is 1.656572635747457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2829065959039929
the lambda is 0.5320222184421091
the regulation term lambda/alpha is 1.8805578453980476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3269758711163949
the lambda is 0.47204344140029597
the regulation term lambda/alpha is 1.4436644508005936
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3064828500996065
the lambda is 0.43376858631502824
the regulation term lambda/alpha is 1.4153111215653797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4396432323448148
the lambda is 0.6018513795108672
the regulation term lambda/alpha is 1.3689540409866507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32241464249003177
the lambda is 0.5336835924639469
the regulation term lambda/alpha is 1.6552709527776706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3056113316621415
the lambda is 0.5066718684926547
the regulation term lambda/alpha is 1.6578962099899783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431849105939324
the lambda is 0.5582706930955791
the regulation term lambda/alpha is 1.6267343809767416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32563490026511266
the lambda is 0.5324556298609114
the regulation term lambda/alpha is 1.6351307228660612
770
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30159959601818764
the lambda is 0.48861537006237493
the regulation term lambda/alpha is 1.6200796569797444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879548619507709
the lambda is 0.5015452581060452
the regulation term lambda/alpha is 1.741749573902975
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29691643950411517
the lambda is 0.5163768566846483
the regulation term lambda/alpha is 1.7391319172055861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33191781523446123
the lambda is 0.5039809711750718
the regulation term lambda/alpha is 1.5183908426821502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33199684077616476
the lambda is 0.5224839751139092
the regulation term lambda/alpha is 1.5737618884939106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2840465564834339
the lambda is 0.489810903782962
the regulation term lambda/alpha is 1.7244035972375136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28403958656186534
the lambda is 0.5210205105269825
the regulation term lambda/alpha is 1.8343235773352369
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35612099486291626
the lambda is 0.4750114336682773
the regulation term lambda/alpha is 1.3338484406153202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.289149532019443
the lambda is 0.5094118255759688
the regulation term lambda/alpha is 1.7617591217187751
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32836146090046664
the lambda is 0.5178071977527556
the regulation term lambda/alpha is 1.5769426665747295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3386136041926414
the lambda is 0.5349717466123685
the regulation term lambda/alpha is 1.5798885218681777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34156627764988323
the lambda is 0.5191549473249462
the regulation term lambda/alpha is 1.519924481119583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319793993233716
the lambda is 0.4999762336833173
the regulation term lambda/alpha is 1.5634322228120094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073264702645756
the lambda is 0.5258645203398066
the regulation term lambda/alpha is 1.7110941335026977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2664620374005324
the lambda is 0.4773162249547122
the regulation term lambda/alpha is 1.791310423095033
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37234856911189573
the lambda is 0.5448256864687195
the regulation term lambda/alpha is 1.463214126935431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178509716720646
the lambda is 0.5132339175578899
the regulation term lambda/alpha is 1.6146998540165143
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3047456104616953
the lambda is 0.5419563525364314
the regulation term lambda/alpha is 1.7783893645436184
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885062911115292
the lambda is 0.4792386860263237
the regulation term lambda/alpha is 1.6611030705083036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3035903276031994
the lambda is 0.5167191602763387
the regulation term lambda/alpha is 1.7020277436233224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3868554488381761
the lambda is 0.5128503194574218
the regulation term lambda/alpha is 1.3256897918786976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32681793699646616
the lambda is 0.545140902105974
the regulation term lambda/alpha is 1.6680262629277551
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28956032831451045
the lambda is 0.47344682683306416
the regulation term lambda/alpha is 1.635054185733698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31189625443236646
the lambda is 0.4810815175075655
the regulation term lambda/alpha is 1.5424408298301198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33795063361808625
the lambda is 0.5312848875981656
the regulation term lambda/alpha is 1.5720783888174743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289699782165931
the lambda is 0.4605278003157328
the regulation term lambda/alpha is 1.399908291973447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33612224392563406
the lambda is 0.5454922157618101
the regulation term lambda/alpha is 1.622898292570302
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35826624917159533
the lambda is 0.5267944739990406
the regulation term lambda/alpha is 1.4703993893288199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3019900657826109
the lambda is 0.47399222072924313
the regulation term lambda/alpha is 1.569562295040688
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35607250834061277
the lambda is 0.476218628092853
the regulation term lambda/alpha is 1.3374203762940062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087807940513032
the lambda is 0.4395303744997368
the regulation term lambda/alpha is 1.423438189703955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3584494117045671
the lambda is 0.49843518394952296
the regulation term lambda/alpha is 1.390531460434734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095792652312859
the lambda is 0.5285027893925975
the regulation term lambda/alpha is 1.7071646868783488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151447200724488
the lambda is 0.5310522571299874
the regulation term lambda/alpha is 1.6851059951374197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3439515927362616
the lambda is 0.5355139854193578
the regulation term lambda/alpha is 1.5569457933284938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3195002243895644
the lambda is 0.5275995208431696
the regulation term lambda/alpha is 1.65132754398279
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.3316901965072972
the lambda is 0.6282972639135537
the regulation term lambda/alpha is 1.8942292251309607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301885652336632
the lambda is 0.5179337687991244
the regulation term lambda/alpha is 1.5685999557028887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072544212417107
the lambda is 0.46447923386197437
the regulation term lambda/alpha is 1.5117088697531813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3244008626093945
the lambda is 0.5020070732802713
the regulation term lambda/alpha is 1.547489945748786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32054062939507005
the lambda is 0.5547916345780093
the regulation term lambda/alpha is 1.7307997292730781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3233443458392962
the lambda is 0.5805570069826141
the regulation term lambda/alpha is 1.7954759823484092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33761290336400185
the lambda is 0.45233465295482284
the regulation term lambda/alpha is 1.3398026214274523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3077159132239304
the lambda is 0.5522659287816156
the regulation term lambda/alpha is 1.794726580746319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27141543018769204
the lambda is 0.5315707136709407
the regulation term lambda/alpha is 1.9585132403980987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34181822238729925
the lambda is 0.5375135651501164
the regulation term lambda/alpha is 1.5725129028992588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30391030354797977
the lambda is 0.5060847761984257
the regulation term lambda/alpha is 1.66524389035243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052002611997652
the lambda is 0.5080336817352116
the regulation term lambda/alpha is 1.6645912416263766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33172845976564813
the lambda is 0.533662853385958
the regulation term lambda/alpha is 1.6087340042002058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29577899990481066
the lambda is 0.4458915462998341
the regulation term lambda/alpha is 1.5075159035744037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3136664489689522
the lambda is 0.44826561288123773
the regulation term lambda/alpha is 1.4291155919121228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36594395645767464
the lambda is 0.5952841646071109
the regulation term lambda/alpha is 1.6267085549641038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3540460583879746
the lambda is 0.4991565513540157
the regulation term lambda/alpha is 1.4098633201192838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33032056413867295
the lambda is 0.541368714030055
the regulation term lambda/alpha is 1.6389191979061324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29703363523322196
the lambda is 0.4673194005026628
the regulation term lambda/alpha is 1.5732878202017004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3672798828756705
the lambda is 0.5243247659725911
the regulation term lambda/alpha is 1.427589123224815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2798698222644863
the lambda is 0.4968539268998469
the regulation term lambda/alpha is 1.7753036854052218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3082548417531238
the lambda is 0.46452021705625557
the regulation term lambda/alpha is 1.5069356718435007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28362905293728086
the lambda is 0.4806637896466343
the regulation term lambda/alpha is 1.6946916568272854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27888278838543235
the lambda is 0.4847760860771524
the regulation term lambda/alpha is 1.7382789697554353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3569554899074839
the lambda is 0.533834114005525
the regulation term lambda/alpha is 1.4955201113278431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2743264083449028
the lambda is 0.46439616306000997
the regulation term lambda/alpha is 1.6928598521077776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36384133793001217
the lambda is 0.5317528970103014
the regulation term lambda/alpha is 1.4614966513579288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2740887404559217
the lambda is 0.5245927237477556
the regulation term lambda/alpha is 1.9139521122799255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112118639548609
the lambda is 0.46014591407710137
the regulation term lambda/alpha is 1.4785616082548907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421616090366878
the lambda is 0.5534057485612961
the regulation term lambda/alpha is 1.6173811846376895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30353570827614385
the lambda is 0.5801963814266693
the regulation term lambda/alpha is 1.9114600543104185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29426946358591094
the lambda is 0.4593182741311549
the regulation term lambda/alpha is 1.5608764447863226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3254237936163294
the lambda is 0.5661962374736069
the regulation term lambda/alpha is 1.739873508269482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419079936545455
the lambda is 0.55055695939193
the regulation term lambda/alpha is 1.6102488669750075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3153583510249094
the lambda is 0.5411973382400495
the regulation term lambda/alpha is 1.716134475212618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2862876960896812
the lambda is 0.5061187928512956
the regulation term lambda/alpha is 1.7678677769398483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34753985374972013
the lambda is 0.5679307285927521
the regulation term lambda/alpha is 1.6341456165822807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.290047298094234
the lambda is 0.45973681083605616
the regulation term lambda/alpha is 1.5850408325013647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30942083453743613
the lambda is 0.5114158521492908
the regulation term lambda/alpha is 1.652816472148115
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3324033040830988
the lambda is 0.508498300411712
the regulation term lambda/alpha is 1.5297630744506392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37502018122668945
the lambda is 0.5688634049911264
the regulation term lambda/alpha is 1.5168874462445636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2942118096812065
the lambda is 0.5173729628336887
the regulation term lambda/alpha is 1.7585050831042053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3528185556607903
the lambda is 0.5435844326611177
the regulation term lambda/alpha is 1.5406911681361086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29722960346573507
the lambda is 0.4867970772761453
the regulation term lambda/alpha is 1.6377812694295228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2982720253870255
the lambda is 0.4947812916951742
the regulation term lambda/alpha is 1.658825667788209
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30008150424515856
the lambda is 0.5213460652329115
the regulation term lambda/alpha is 1.737348213260707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3266148265523888
the lambda is 0.5378599886388977
the regulation term lambda/alpha is 1.6467715024340002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.41220861258470737
the lambda is 0.5316920302251912
the regulation term lambda/alpha is 1.289861526403528
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3592949121116305
the lambda is 0.5049154848869514
the regulation term lambda/alpha is 1.4052953934679642
using Bay_non_info_prior option for model regressor
Convergence after  4  iterations
the alpha is 0.3583083370395294
the lambda is 0.4609456756320324
the regulation term lambda/alpha is 1.286449764023157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388310410841696
the lambda is 0.5306290658984346
the regulation term lambda/alpha is 1.5660580099171615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2960632574530273
the lambda is 0.4545216879997544
the regulation term lambda/alpha is 1.5352181554371627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38764299946237785
the lambda is 0.5974118675321989
the regulation term lambda/alpha is 1.541139317260339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28923424788340574
the lambda is 0.5050717868635767
the regulation term lambda/alpha is 1.7462378351099626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.331439571880225
the lambda is 0.5555058373590963
the regulation term lambda/alpha is 1.6760395694689225
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3074253676438296
the lambda is 0.5000556721548823
the regulation term lambda/alpha is 1.6265920928627668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.316686692322092
the lambda is 0.4870682766534816
the regulation term lambda/alpha is 1.5380130850528442
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3001221242177028
the lambda is 0.48896317636704567
the regulation term lambda/alpha is 1.6292140329260139
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35285707316265663
the lambda is 0.5574751850602397
the regulation term lambda/alpha is 1.5798895004812905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29627688914131506
the lambda is 0.5000828417754454
the regulation term lambda/alpha is 1.6878901463587364
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29530109068411936
the lambda is 0.5304666290564247
the regulation term lambda/alpha is 1.7963585160742248
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34620893951241755
the lambda is 0.5074455718171358
the regulation term lambda/alpha is 1.4657205921135237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32386789280954387
the lambda is 0.46389295184254176
the regulation term lambda/alpha is 1.4323523947319534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161314841261383
the lambda is 0.5017910982250663
the regulation term lambda/alpha is 1.5872860610898494
780
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30700499247721613
the lambda is 0.4968146166541441
the regulation term lambda/alpha is 1.6182623371866318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289220556194808
the lambda is 0.5455931624089269
the regulation term lambda/alpha is 1.6587308545830863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31434955030151834
the lambda is 0.5059353947383495
the regulation term lambda/alpha is 1.6094675314568305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3389831553450427
the lambda is 0.49018455001437633
the regulation term lambda/alpha is 1.446043976773505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33291340585093965
the lambda is 0.49185905088265236
the regulation term lambda/alpha is 1.4774384036156232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3428647145577461
the lambda is 0.5761155093613494
the regulation term lambda/alpha is 1.6802997943502833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351491071651014
the lambda is 0.5609945295429302
the regulation term lambda/alpha is 1.6738655050827054
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.318965237114247
the lambda is 0.5788547787111165
the regulation term lambda/alpha is 1.8147895486923618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31082262067325045
the lambda is 0.49633489972796274
the regulation term lambda/alpha is 1.596842915270734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32656993291768704
the lambda is 0.5078492766854488
the regulation term lambda/alpha is 1.5551011452528722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33590787489520996
the lambda is 0.4947247018686347
the regulation term lambda/alpha is 1.4727987607404838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37727751929965403
the lambda is 0.49448472265535426
the regulation term lambda/alpha is 1.3106657496404073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492604920861664
the lambda is 0.5477890521075744
the regulation term lambda/alpha is 1.568425471875098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105193330452233
the lambda is 0.4675043311803729
the regulation term lambda/alpha is 1.5055562775934686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30745958045619187
the lambda is 0.5536759024922814
the regulation term lambda/alpha is 1.800808749139536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3433277659591505
the lambda is 0.5759203615417071
the regulation term lambda/alpha is 1.6774651474306648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105076617109497
the lambda is 0.5394845379701438
the regulation term lambda/alpha is 1.7374274599135264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336805197944773
the lambda is 0.5395864349910098
the regulation term lambda/alpha is 1.6170750253067077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27622099528670224
the lambda is 0.4459224982632551
the regulation term lambda/alpha is 1.6143685884572676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31995521684557005
the lambda is 0.5167794876705383
the regulation term lambda/alpha is 1.6151619366155472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3423327406222732
the lambda is 0.5236441807515859
the regulation term lambda/alpha is 1.5296351140698228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3264709748596708
the lambda is 0.5104041346966685
the regulation term lambda/alpha is 1.5633982007621317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2759533721616161
the lambda is 0.4862031015816456
the regulation term lambda/alpha is 1.7619030989659141
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3309721965721197
the lambda is 0.5022751811383039
the regulation term lambda/alpha is 1.5175751508446025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29143384357136065
the lambda is 0.5604047179252715
the regulation term lambda/alpha is 1.9229225784412045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30092408812863153
the lambda is 0.5205761515510529
the regulation term lambda/alpha is 1.7299251608217217
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2996188882906915
the lambda is 0.48736782591690936
the regulation term lambda/alpha is 1.6266258402376257
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3335140177580736
the lambda is 0.5323817365369939
the regulation term lambda/alpha is 1.5962799408424753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27973647014170794
the lambda is 0.4683679171441911
the regulation term lambda/alpha is 1.6743183929750987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27986780595134353
the lambda is 0.5080585567344602
the regulation term lambda/alpha is 1.8153519123338853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2803972195102714
the lambda is 0.44929880429597596
the regulation term lambda/alpha is 1.6023654053371146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246544837151437
the lambda is 0.4975835968819936
the regulation term lambda/alpha is 1.5326558598173567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891915670322745
the lambda is 0.5066155563177459
the regulation term lambda/alpha is 1.7518337810355527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2946875031874833
the lambda is 0.5166928288749075
the regulation term lambda/alpha is 1.7533584671426736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30425324152878563
the lambda is 0.4816229454082797
the regulation term lambda/alpha is 1.5829673432179785
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3768267280914132
the lambda is 0.5742288467917753
the regulation term lambda/alpha is 1.5238538139271134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30212556571600013
the lambda is 0.4371255835293752
the regulation term lambda/alpha is 1.4468341416041433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3121246669374495
the lambda is 0.5042993983007654
the regulation term lambda/alpha is 1.615698634936239
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35282420385328817
the lambda is 0.48092152209949807
the regulation term lambda/alpha is 1.3630627288242263
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.309395602741
the lambda is 0.5176882043387904
the regulation term lambda/alpha is 1.6732241820907696
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014712992807978
the lambda is 0.5653355243161219
the regulation term lambda/alpha is 1.8752548772132183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31136343274668243
the lambda is 0.5304675693711632
the regulation term lambda/alpha is 1.703692577807422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34080627419756615
the lambda is 0.5514890904701075
the regulation term lambda/alpha is 1.6181893709809112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3228182950081942
the lambda is 0.5058192301743262
the regulation term lambda/alpha is 1.5668852664050121
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3117393840159557
the lambda is 0.4679923503327153
the regulation term lambda/alpha is 1.5012294702832998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33354095832321157
the lambda is 0.5224571038448323
the regulation term lambda/alpha is 1.5663956428959922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2969754146962623
the lambda is 0.524464962840208
the regulation term lambda/alpha is 1.766021484898389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31321253307332964
the lambda is 0.4696907123506039
the regulation term lambda/alpha is 1.4995910532119079
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3152932760872626
the lambda is 0.514418223813005
the regulation term lambda/alpha is 1.631554691545757
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27916825273744017
the lambda is 0.53086110351364
the regulation term lambda/alpha is 1.901581208852279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3220226603877887
the lambda is 0.5319527752976511
the regulation term lambda/alpha is 1.6519110010986762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27880610842859194
the lambda is 0.47909431127873453
the regulation term lambda/alpha is 1.718378101466312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2708612433866258
the lambda is 0.5113429535683329
the regulation term lambda/alpha is 1.8878409741272761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3632306872387937
the lambda is 0.5127630665509394
the regulation term lambda/alpha is 1.411673310008195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3199367701798952
the lambda is 0.5208815330013064
the regulation term lambda/alpha is 1.628076487452265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3658279591076656
the lambda is 0.5528645708644393
the regulation term lambda/alpha is 1.511269319635921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29757504879637175
the lambda is 0.48887305436813505
the regulation term lambda/alpha is 1.6428563360588306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3139149538867385
the lambda is 0.4715291710941265
the regulation term lambda/alpha is 1.5020920961422426
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27545006138240374
the lambda is 0.46294103650353485
the regulation term lambda/alpha is 1.6806713862402805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336261747911651
the lambda is 0.5183475877606576
the regulation term lambda/alpha is 1.553677819449028
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31790940395565115
the lambda is 0.5260697502795763
the regulation term lambda/alpha is 1.6547788260864527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2852470735081507
the lambda is 0.5078319607160062
the regulation term lambda/alpha is 1.7803231229346699
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3265389110552579
the lambda is 0.48013687722930903
the regulation term lambda/alpha is 1.47038181660396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29711425207403985
the lambda is 0.5255676251954922
the regulation term lambda/alpha is 1.7689074876977713
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.329310853339731
the lambda is 0.5003265068075694
the regulation term lambda/alpha is 1.519313747887354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28396161876033005
the lambda is 0.4815097931471928
the regulation term lambda/alpha is 1.6956861819892561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31561680242754425
the lambda is 0.5459999698157871
the regulation term lambda/alpha is 1.7299458254955602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.347034576127623
the lambda is 0.5014174817528283
the regulation term lambda/alpha is 1.4448631814958706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.303510008207348
the lambda is 0.48538064926811353
the regulation term lambda/alpha is 1.5992245268449845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35757651455595324
the lambda is 0.5040722700728085
the regulation term lambda/alpha is 1.4096906523594737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902790229515055
the lambda is 0.46910971065562945
the regulation term lambda/alpha is 1.6160647982269105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3390704228905614
the lambda is 0.5341415963476083
the regulation term lambda/alpha is 1.575311676536317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33587797473137665
the lambda is 0.5039878115051116
the regulation term lambda/alpha is 1.5005086651132253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2861834110770764
the lambda is 0.5653355222247451
the regulation term lambda/alpha is 1.9754307913832436
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421078564693233
the lambda is 0.4936867679632748
the regulation term lambda/alpha is 1.4430734595174184
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3288689797167576
the lambda is 0.513257430227742
the regulation term lambda/alpha is 1.5606744992178683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3420541912693601
the lambda is 0.5243583521489612
the regulation term lambda/alpha is 1.5329686509703973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3668221309688724
the lambda is 0.5644948760462795
the regulation term lambda/alpha is 1.538879005351455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3380710618535837
the lambda is 0.5379262214367113
the regulation term lambda/alpha is 1.5911631669606892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3487506277169837
the lambda is 0.5016440965244636
the regulation term lambda/alpha is 1.4384034225496944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30873188841301225
the lambda is 0.5340185101006251
the regulation term lambda/alpha is 1.7297160745061462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3506381962651302
the lambda is 0.5658677703570691
the regulation term lambda/alpha is 1.613822385537245
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2806747504641557
the lambda is 0.5029623167977346
the regulation term lambda/alpha is 1.7919756442857042
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.277833194506965
the lambda is 0.5118701018484743
the regulation term lambda/alpha is 1.8423648144593545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3166540998856276
the lambda is 0.5011665148733628
the regulation term lambda/alpha is 1.5826939081299731
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29601342203118697
the lambda is 0.5192199269140167
the regulation term lambda/alpha is 1.7540418382086522
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31423688636019126
the lambda is 0.4780064157834
the regulation term lambda/alpha is 1.521165835494848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3599781256257733
the lambda is 0.5191548051366579
the regulation term lambda/alpha is 1.442184311155511
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3234750987848773
the lambda is 0.5266257309831778
the regulation term lambda/alpha is 1.6280255666090795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909868240586947
the lambda is 0.4789673209056471
the regulation term lambda/alpha is 1.6460103389734067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30960403494198097
the lambda is 0.5020938440461615
the regulation term lambda/alpha is 1.6217290066657326
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2896759825466396
the lambda is 0.47937835796964506
the regulation term lambda/alpha is 1.654877818158301
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30749566832684194
the lambda is 0.5963529372948357
the regulation term lambda/alpha is 1.939386465310994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3546637457848088
the lambda is 0.5018732823608449
the regulation term lambda/alpha is 1.4150679011475706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3587998812262596
the lambda is 0.4400709961212475
the regulation term lambda/alpha is 1.2265081989916775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30906757525515577
the lambda is 0.5332719146707486
the regulation term lambda/alpha is 1.7254217438710526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123347050964765
the lambda is 0.5507799576028664
the regulation term lambda/alpha is 1.763428618772086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31803500347303254
the lambda is 0.4851872926047917
the regulation term lambda/alpha is 1.525578276939358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31537782712986
the lambda is 0.5322666571347342
the regulation term lambda/alpha is 1.6877110923703842
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36255700025983273
the lambda is 0.47965251239787554
the regulation term lambda/alpha is 1.3229713177627913
790
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2818362209893459
the lambda is 0.4821602578505891
the regulation term lambda/alpha is 1.7107817304604573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36938611887690687
the lambda is 0.5318307508140779
the regulation term lambda/alpha is 1.4397691836148927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3180131273814545
the lambda is 0.4992149691089942
the regulation term lambda/alpha is 1.569793590659512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36217264562264023
the lambda is 0.5298533618635509
the regulation term lambda/alpha is 1.4629855906224978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190557727318957
the lambda is 0.5661762719590144
the regulation term lambda/alpha is 1.7745369943040503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2988187702203525
the lambda is 0.5308583045845121
the regulation term lambda/alpha is 1.77652262002501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336095598310871
the lambda is 0.4881412899410623
the regulation term lambda/alpha is 1.4632113365942438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2902706385189564
the lambda is 0.48538113036718467
the regulation term lambda/alpha is 1.672167508376795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34321384148266326
the lambda is 0.5098212833303967
the regulation term lambda/alpha is 1.4854333412894982
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2981337044825166
the lambda is 0.5048989795919516
the regulation term lambda/alpha is 1.6935320361323332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2672300689094326
the lambda is 0.5277430818831103
the regulation term lambda/alpha is 1.9748641462273788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3128850190444003
the lambda is 0.5166176565996692
the regulation term lambda/alpha is 1.6511421933127388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3256812077279048
the lambda is 0.49881015218168495
the regulation term lambda/alpha is 1.5315902187344603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32201094695608073
the lambda is 0.5202053458112863
the regulation term lambda/alpha is 1.6154896307989102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29191268214430893
the lambda is 0.458715599147087
the regulation term lambda/alpha is 1.5714137384422302
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31491912217388246
the lambda is 0.5474093217772467
the regulation term lambda/alpha is 1.7382536760501792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3730180744552579
the lambda is 0.5948567213479127
the regulation term lambda/alpha is 1.5947128626853266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3180503653531684
the lambda is 0.5241977148115572
the regulation term lambda/alpha is 1.648159448675619
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2978482948052678
the lambda is 0.4988360864386956
the regulation term lambda/alpha is 1.674799201938802
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32073835652700244
the lambda is 0.5344217980840934
the regulation term lambda/alpha is 1.6662235345684366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3489008972011936
the lambda is 0.47157237411933955
the regulation term lambda/alpha is 1.3515940426126434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3242420511061726
the lambda is 0.569132129078591
the regulation term lambda/alpha is 1.7552693339342018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32962213575538063
the lambda is 0.5687180075184625
the regulation term lambda/alpha is 1.7253635172745796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30952408423219135
the lambda is 0.525179854066646
the regulation term lambda/alpha is 1.6967334072546005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30336979552655896
the lambda is 0.481940129449476
the regulation term lambda/alpha is 1.5886226531318732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3610401631336955
the lambda is 0.5472525784337076
the regulation term lambda/alpha is 1.5157664833844438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3912786167307988
the lambda is 0.5584896444801153
the regulation term lambda/alpha is 1.4273451719554568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33179400561724
the lambda is 0.5916073752688392
the regulation term lambda/alpha is 1.7830562495192328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3270721637003028
the lambda is 0.5181473179840314
the regulation term lambda/alpha is 1.5841987655629761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28042046800882986
the lambda is 0.48413827210469734
the regulation term lambda/alpha is 1.7264726627924065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3542619267428771
the lambda is 0.5509637748067191
the regulation term lambda/alpha is 1.5552441095557186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2880068253732722
the lambda is 0.5116788834771109
the regulation term lambda/alpha is 1.7766206853394801
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2905766863001195
the lambda is 0.49578404389642317
the regulation term lambda/alpha is 1.7062072329655418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30150960540862837
the lambda is 0.4800244899915057
the regulation term lambda/alpha is 1.592070306818055
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31721847382285184
the lambda is 0.4968158109377718
the regulation term lambda/alpha is 1.5661629190461797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33492007101746174
the lambda is 0.531526164217645
the regulation term lambda/alpha is 1.5870239206713077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3739150939412068
the lambda is 0.5777095379715416
the regulation term lambda/alpha is 1.545028663813124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3573351432057517
the lambda is 0.526193130927484
the regulation term lambda/alpha is 1.47254794534582
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39255085254911354
the lambda is 0.5135465608937647
the regulation term lambda/alpha is 1.3082293862284071
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.284222460746035
the lambda is 0.46794734687997075
the regulation term lambda/alpha is 1.646412270345171
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3329827168894661
the lambda is 0.5064821809726601
the regulation term lambda/alpha is 1.5210464546146016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3403081469056086
the lambda is 0.5401023848422492
the regulation term lambda/alpha is 1.5870980161754915
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37989395132711745
the lambda is 0.5281110407343107
the regulation term lambda/alpha is 1.3901538544886363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3599530345338872
the lambda is 0.5411372052905374
the regulation term lambda/alpha is 1.5033550307230232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453298478398561
the lambda is 0.5488147274216525
the regulation term lambda/alpha is 1.5892478766450586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34209166652662887
the lambda is 0.5537844690267819
the regulation term lambda/alpha is 1.6188189401090676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29397112398329667
the lambda is 0.4512132534633699
the regulation term lambda/alpha is 1.5348897107629103
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3511190240948202
the lambda is 0.5214041369039798
the regulation term lambda/alpha is 1.4849783153964733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3154449107947941
the lambda is 0.5073321713682984
the regulation term lambda/alpha is 1.6083067249049152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3030599557194131
the lambda is 0.48769067105397174
the regulation term lambda/alpha is 1.609221745896044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322391095961037
the lambda is 0.5354060170769104
the regulation term lambda/alpha is 1.6607345047197506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32015920030175404
the lambda is 0.540378171336874
the regulation term lambda/alpha is 1.6878420824001337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31634602738472806
the lambda is 0.5491517196242403
the regulation term lambda/alpha is 1.7359210234569589
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30040607815207176
the lambda is 0.51307669258891
the regulation term lambda/alpha is 1.7079437797832437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.312330265594439
the lambda is 0.5584187056174164
the regulation term lambda/alpha is 1.787910961989586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34271825090623664
the lambda is 0.5103714317362332
the regulation term lambda/alpha is 1.4891866143302195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2798674575918314
the lambda is 0.4579598406596572
the regulation term lambda/alpha is 1.6363454493789773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3291955118904645
the lambda is 0.5629491772796102
the regulation term lambda/alpha is 1.7100754929700386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3204901887816987
the lambda is 0.5500610874474119
the regulation term lambda/alpha is 1.7163117833291457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3403815725664815
the lambda is 0.5986707294576855
the regulation term lambda/alpha is 1.7588223855471976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246173135215055
the lambda is 0.5509209881445152
the regulation term lambda/alpha is 1.6971398788562069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32057768588895463
the lambda is 0.5410147871041442
the regulation term lambda/alpha is 1.6876245943441837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34554986579929725
the lambda is 0.5211329810706063
the regulation term lambda/alpha is 1.508126706590277
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33900391278467984
the lambda is 0.5628986262205926
the regulation term lambda/alpha is 1.6604487588263346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3504387842417359
the lambda is 0.5374462219978543
the regulation term lambda/alpha is 1.5336379595105516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28444862416136935
the lambda is 0.5442702549904692
the regulation term lambda/alpha is 1.9134219987708625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34781871439092166
the lambda is 0.5993965190657315
the regulation term lambda/alpha is 1.723301519630297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35023588712332415
the lambda is 0.4974895513521282
the regulation term lambda/alpha is 1.4204413929088695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3285442237824855
the lambda is 0.5547675786641455
the regulation term lambda/alpha is 1.6885628737500873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34393995962133844
the lambda is 0.4798919983385248
the regulation term lambda/alpha is 1.3952784051811342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3560585385872732
the lambda is 0.5342505574384235
the regulation term lambda/alpha is 1.500457086517738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.311954432376366
the lambda is 0.48627086218765136
the regulation term lambda/alpha is 1.5587881168521962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2773550169423535
the lambda is 0.4889786602213353
the regulation term lambda/alpha is 1.7630063649541499
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3384697941302051
the lambda is 0.5231839038026799
the regulation term lambda/alpha is 1.5457329217431366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3179749180686825
the lambda is 0.5167517569067808
the regulation term lambda/alpha is 1.6251337056565025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090790837949928
the lambda is 0.5157335200147032
the regulation term lambda/alpha is 1.6686134619086062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3565536777047658
the lambda is 0.5208031090185213
the regulation term lambda/alpha is 1.4606583568877325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34788193036265885
the lambda is 0.4912267693169256
the regulation term lambda/alpha is 1.4120502574101308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3083243750012121
the lambda is 0.5427660394954967
the regulation term lambda/alpha is 1.7603734362337162
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2644804979785765
the lambda is 0.48167872821579216
the regulation term lambda/alpha is 1.8212258820490017
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2788363126578409
the lambda is 0.5432695186703858
the regulation term lambda/alpha is 1.9483456566040231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3165966141917015
the lambda is 0.48801857688264394
the regulation term lambda/alpha is 1.5414522929393846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2888744899100849
the lambda is 0.4781587169384645
the regulation term lambda/alpha is 1.655247291262362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30103763142512946
the lambda is 0.5038994685618768
the regulation term lambda/alpha is 1.6738753430140536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3194318953022101
the lambda is 0.5104063084034747
the regulation term lambda/alpha is 1.5978564317147677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334602365146035
the lambda is 0.5237251603039302
the regulation term lambda/alpha is 1.5705775470503343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28646421703489
the lambda is 0.47496301672672075
the regulation term lambda/alpha is 1.6580186581169838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4016018851539425
the lambda is 0.5483120491695335
the regulation term lambda/alpha is 1.3653124386090814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28778287905352795
the lambda is 0.5125955667035205
the regulation term lambda/alpha is 1.7811885418248843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3264975657023372
the lambda is 0.5387001776880233
the regulation term lambda/alpha is 1.649936276030762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30719820885583227
the lambda is 0.527736529980573
the regulation term lambda/alpha is 1.7179023665083901
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3078738552091794
the lambda is 0.582169764052244
the regulation term lambda/alpha is 1.890936025264955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28369527617657825
the lambda is 0.48292724152978544
the regulation term lambda/alpha is 1.7022745251112352
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3293284601644284
the lambda is 0.48765458262654815
the regulation term lambda/alpha is 1.4807544491692886
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3537534704205314
the lambda is 0.5114513399171461
the regulation term lambda/alpha is 1.445784657063995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314185257603575
the lambda is 0.5062436879590967
the regulation term lambda/alpha is 1.5275057023370864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28428247742394075
the lambda is 0.5222197187924438
the regulation term lambda/alpha is 1.8369747003916648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3309220036662648
the lambda is 0.5175202192826327
the regulation term lambda/alpha is 1.5638737030147818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3140176400937933
the lambda is 0.4834933384255348
the regulation term lambda/alpha is 1.5397012036684345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34039330079515334
the lambda is 0.5538275272788246
the regulation term lambda/alpha is 1.6270224060963958
800
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28072372662294454
the lambda is 0.45938656025528224
the regulation term lambda/alpha is 1.636436527049634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321832039326988
the lambda is 0.5027816876208683
the regulation term lambda/alpha is 1.5622487079666785
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282520833658548
the lambda is 0.4482127902181429
the regulation term lambda/alpha is 1.3654529946077612
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2929985763565583
the lambda is 0.5315527981513876
the regulation term lambda/alpha is 1.8141821873718795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33201883431446805
the lambda is 0.5080890051075997
the regulation term lambda/alpha is 1.53030175579247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3229275167166958
the lambda is 0.4983068240283319
the regulation term lambda/alpha is 1.5430918649942622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31716954315983403
the lambda is 0.5188967471592675
the regulation term lambda/alpha is 1.6360232511284203
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219231069755194
the lambda is 0.5024225817233311
the regulation term lambda/alpha is 1.5606912670656405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32197196457240274
the lambda is 0.47561077462394635
the regulation term lambda/alpha is 1.4771807081265127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32184867904048425
the lambda is 0.5391520045762631
the regulation term lambda/alpha is 1.675172339322993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33556826402023365
the lambda is 0.5044363144207137
the regulation term lambda/alpha is 1.5032300980354263
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2876759899612128
the lambda is 0.4816838036640422
the regulation term lambda/alpha is 1.6743969621134782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31157155053008007
the lambda is 0.5047466826643273
the regulation term lambda/alpha is 1.6200024739280474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3437427662198054
the lambda is 0.4865616323643149
the regulation term lambda/alpha is 1.4154818084322518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3108217899294179
the lambda is 0.5293297356882282
the regulation term lambda/alpha is 1.7030007317325775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36242615138857387
the lambda is 0.48267584696000765
the regulation term lambda/alpha is 1.3317908906703273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3284809618997964
the lambda is 0.5237739761093229
the regulation term lambda/alpha is 1.5945337382112905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32434852960382393
the lambda is 0.5111153557408916
the regulation term lambda/alpha is 1.5758214053419461
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3053838668979622
the lambda is 0.5593084638460228
the regulation term lambda/alpha is 1.831493161467185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2916508966508927
the lambda is 0.49363836726102167
the regulation term lambda/alpha is 1.6925659167504934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33425188810010004
the lambda is 0.5713238804640004
the regulation term lambda/alpha is 1.7092614905226902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32390423286705283
the lambda is 0.5023753194785718
the regulation term lambda/alpha is 1.5509995501811575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3040910195859815
the lambda is 0.509403806307336
the regulation term lambda/alpha is 1.6751688589846778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30166992051478314
the lambda is 0.5553139924659946
the regulation term lambda/alpha is 1.8408000092232655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28842304713078765
the lambda is 0.4903866902305706
the regulation term lambda/alpha is 1.7002340662748805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33634831766614504
the lambda is 0.4920695500041568
the regulation term lambda/alpha is 1.4629760999505834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3726865415049924
the lambda is 0.5701758153077787
the regulation term lambda/alpha is 1.5299071788460084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3134010595312307
the lambda is 0.5059643409486521
the regulation term lambda/alpha is 1.6144308564414163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481284639948947
the lambda is 0.5202423684302667
the regulation term lambda/alpha is 1.4943976785474686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3091621943763058
the lambda is 0.5033506860665619
the regulation term lambda/alpha is 1.6281120241173273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31661256061496745
the lambda is 0.5339297920376465
the regulation term lambda/alpha is 1.6863822174350136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197059742953797
the lambda is 0.519584353540512
the regulation term lambda/alpha is 1.6251943827000948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37044660313679634
the lambda is 0.5769702954036392
the regulation term lambda/alpha is 1.557499219909378
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35630899147975276
the lambda is 0.4893636779347518
the regulation term lambda/alpha is 1.3734250036812776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33535643905846285
the lambda is 0.5152594844185737
the regulation term lambda/alpha is 1.536453231269993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141589066682469
the lambda is 0.4817197193504103
the regulation term lambda/alpha is 1.533363241103676
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29948439890085066
the lambda is 0.47237663046961176
the regulation term lambda/alpha is 1.5772996263020698
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3049411742497441
the lambda is 0.5139986090647362
the regulation term lambda/alpha is 1.6855664386068636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2922535148574085
the lambda is 0.4914844849249222
the regulation term lambda/alpha is 1.6817059844933573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36662498056760234
the lambda is 0.5484317704825996
the regulation term lambda/alpha is 1.4958930775353256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.345893111130707
the lambda is 0.4937661818084961
the regulation term lambda/alpha is 1.4275108868008373
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3029920063361388
the lambda is 0.5002499185625
the regulation term lambda/alpha is 1.6510333873545284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31727114017106334
the lambda is 0.4777750097577538
the regulation term lambda/alpha is 1.5058886525265154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2865773388735332
the lambda is 0.4761997231578938
the regulation term lambda/alpha is 1.661679618596923
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32976546112550087
the lambda is 0.602260682342556
the regulation term lambda/alpha is 1.8263303873213999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3461738205939378
the lambda is 0.5509466192056434
the regulation term lambda/alpha is 1.5915317289458009
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2991468220431138
the lambda is 0.5567348966386495
the regulation term lambda/alpha is 1.861075751486377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28950106640857914
the lambda is 0.5245070084951442
the regulation term lambda/alpha is 1.8117619219920111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2792409037829411
the lambda is 0.46582578525283214
the regulation term lambda/alpha is 1.6681860678080558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3239929378470394
the lambda is 0.5165986704355511
the regulation term lambda/alpha is 1.594475095254832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28073162493345694
the lambda is 0.47306188991454423
the regulation term lambda/alpha is 1.6851036644933615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31293916442887754
the lambda is 0.5309573588194209
the regulation term lambda/alpha is 1.6966791605915879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30111855668428894
the lambda is 0.5276267580137181
the regulation term lambda/alpha is 1.7522226588211038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388386272550588
the lambda is 0.553156386865394
the regulation term lambda/alpha is 1.63250687014798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2871888182084584
the lambda is 0.4805673992574937
the regulation term lambda/alpha is 1.673349966253456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31378085113195997
the lambda is 0.49892904998361265
the regulation term lambda/alpha is 1.5900557608398767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33319289093205995
the lambda is 0.4728715747167758
the regulation term lambda/alpha is 1.4192126770591789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28559015000101834
the lambda is 0.524226800086387
the regulation term lambda/alpha is 1.8355913188340625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.325172055293232
the lambda is 0.48179528165579594
the regulation term lambda/alpha is 1.4816626269478324
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2896970112168008
the lambda is 0.44598337608632854
the regulation term lambda/alpha is 1.5394821445105196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2947607198239304
the lambda is 0.4996136589399372
the regulation term lambda/alpha is 1.6949804547850602
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2764219612376849
the lambda is 0.49462863234959614
the regulation term lambda/alpha is 1.7893970151101108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36101303029974313
the lambda is 0.5329499162768174
the regulation term lambda/alpha is 1.476262271847412
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33250613930474704
the lambda is 0.4863992606585778
the regulation term lambda/alpha is 1.4628279095105228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30359781825212284
the lambda is 0.5220197080880646
the regulation term lambda/alpha is 1.7194448599579635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3520603692220898
the lambda is 0.6100523094764101
the regulation term lambda/alpha is 1.7328059696817837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33267190106093636
the lambda is 0.5464588940938613
the regulation term lambda/alpha is 1.642636159985646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28164949897217156
the lambda is 0.4682346445337217
the regulation term lambda/alpha is 1.662472847430791
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989930560413739
the lambda is 0.5166524342412551
the regulation term lambda/alpha is 1.7279746930636477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.332059405126022
the lambda is 0.49362368313497135
the regulation term lambda/alpha is 1.4865523322479997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30823288892999046
the lambda is 0.5583605016165347
the regulation term lambda/alpha is 1.811489045036191
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31011972770781715
the lambda is 0.48191352771629664
the regulation term lambda/alpha is 1.5539595990176316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29127210794996644
the lambda is 0.4974499450631679
the regulation term lambda/alpha is 1.707853005783231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3565633568693192
the lambda is 0.5134543021373715
the regulation term lambda/alpha is 1.440008605050106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3034956566458626
the lambda is 0.5873837217342472
the regulation term lambda/alpha is 1.9353941609109837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29167105221251366
the lambda is 0.48296218322538237
the regulation term lambda/alpha is 1.6558454449346334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34393089798841087
the lambda is 0.47626472486332283
the regulation term lambda/alpha is 1.3847686487283009
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3238154219192292
the lambda is 0.49246481067306824
the regulation term lambda/alpha is 1.5208195080835467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34011097716225047
the lambda is 0.5424408952970758
the regulation term lambda/alpha is 1.5948938191380502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323475332279388
the lambda is 0.5344632078268118
the regulation term lambda/alpha is 1.6522533698649762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3348350717716173
the lambda is 0.5275274587599681
the regulation term lambda/alpha is 1.5754844794746634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36142802482846026
the lambda is 0.5626705206814854
the regulation term lambda/alpha is 1.5567982614202043
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3588285059233942
the lambda is 0.5197299225248526
the regulation term lambda/alpha is 1.448407565021629
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3251333563668265
the lambda is 0.49314993297465975
the regulation term lambda/alpha is 1.5167620403065358
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3580699428419235
the lambda is 0.5529744268254221
the regulation term lambda/alpha is 1.5443195886160785
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3225639431934849
the lambda is 0.5122438797957771
the regulation term lambda/alpha is 1.5880382497944467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.380410550950562
the lambda is 0.5282415800577115
the regulation term lambda/alpha is 1.3886091716903026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34906600240324426
the lambda is 0.5458490065454329
the regulation term lambda/alpha is 1.5637415353754878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29840272034275045
the lambda is 0.463280877325956
the regulation term lambda/alpha is 1.5525357034072065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3406358397218
the lambda is 0.5485051358385419
the regulation term lambda/alpha is 1.6102390643524487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296245200973151
the lambda is 0.5407552579019177
the regulation term lambda/alpha is 1.6405189084303269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34122832111911316
the lambda is 0.5373744634642736
the regulation term lambda/alpha is 1.574823747635799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3368662786552049
the lambda is 0.4971374467798499
the regulation term lambda/alpha is 1.4757708867876576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30124562187752835
the lambda is 0.48321898078165904
the regulation term lambda/alpha is 1.6040697214783493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28222818160243096
the lambda is 0.4912660509264685
the regulation term lambda/alpha is 1.7406697238283062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3338144075892992
the lambda is 0.5210907302102691
the regulation term lambda/alpha is 1.561019292047397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33776599535512974
the lambda is 0.5689108213145136
the regulation term lambda/alpha is 1.6843342110752044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34690359686052913
the lambda is 0.4598518786682413
the regulation term lambda/alpha is 1.3255898261934784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33867542614537405
the lambda is 0.5337337614190621
the regulation term lambda/alpha is 1.5759447548165502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30767182357858175
the lambda is 0.5358446514836909
the regulation term lambda/alpha is 1.7416110622389573
810
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039643616329039
the lambda is 0.5209666378223463
the regulation term lambda/alpha is 1.7139069693029174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2742031714721512
the lambda is 0.47134151200953567
the regulation term lambda/alpha is 1.7189498920781316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2610227201064123
the lambda is 0.5016559915723272
the regulation term lambda/alpha is 1.9218863069383954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2900047538481018
the lambda is 0.49116924524179734
the regulation term lambda/alpha is 1.6936592891131057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.273514015151319
the lambda is 0.4817232758990679
the regulation term lambda/alpha is 1.7612379959124183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3153896327104519
the lambda is 0.4941413949030036
the regulation term lambda/alpha is 1.5667648636905493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2662075067873464
the lambda is 0.5486189055827146
the regulation term lambda/alpha is 2.0608694029840637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099187686708702
the lambda is 0.49905162863207836
the regulation term lambda/alpha is 1.6102659118462905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3166145893275697
the lambda is 0.47201913000251283
the regulation term lambda/alpha is 1.4908319007187678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3000303337807155
the lambda is 0.48076980361028626
the regulation term lambda/alpha is 1.6024039887969084
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32609865437113456
the lambda is 0.5197261780246775
the regulation term lambda/alpha is 1.5937697719941353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33613704286221885
the lambda is 0.5138353053195903
the regulation term lambda/alpha is 1.528648258889483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3461361805001427
the lambda is 0.5043858520574235
the regulation term lambda/alpha is 1.457189050068736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3433641519240976
the lambda is 0.5142151932424824
the regulation term lambda/alpha is 1.4975797279972092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3644322795978908
the lambda is 0.5342309081689554
the regulation term lambda/alpha is 1.4659264233081049
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32572529385014076
the lambda is 0.5317310235741253
the regulation term lambda/alpha is 1.6324523566744047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2688259855770196
the lambda is 0.49186902689274464
the regulation term lambda/alpha is 1.829693010655112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3182534224894052
the lambda is 0.48544448768987963
the regulation term lambda/alpha is 1.5253394099981448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2853311194792481
the lambda is 0.5365332766316694
the regulation term lambda/alpha is 1.880388222675764
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3111981432381343
the lambda is 0.5450720795385715
the regulation term lambda/alpha is 1.7515274155137641
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125032792904804
the lambda is 0.5162444927648614
the regulation term lambda/alpha is 1.6519650415732052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2805393866801154
the lambda is 0.49923312739144504
the regulation term lambda/alpha is 1.7795473687289936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3461681055923305
the lambda is 0.5334237748137887
the regulation term lambda/alpha is 1.5409385388091827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2890028185322689
the lambda is 0.5043462225889435
the regulation term lambda/alpha is 1.7451256190175537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129121143114952
the lambda is 0.4572992570957285
the regulation term lambda/alpha is 1.4614303383617164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3302286668158995
the lambda is 0.552615723549234
the regulation term lambda/alpha is 1.6734335297950191
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098473725537269
the lambda is 0.5007985601809638
the regulation term lambda/alpha is 1.6162749938895362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34046131860132567
the lambda is 0.4596501307197316
the regulation term lambda/alpha is 1.3500803339658505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.339920286004225
the lambda is 0.5192901509294034
the regulation term lambda/alpha is 1.5276821428743708
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36092477566740433
the lambda is 0.48803992804504165
the regulation term lambda/alpha is 1.352192924807066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2964839578465527
the lambda is 0.49950398729475837
the regulation term lambda/alpha is 1.6847589020424507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350399599185575
the lambda is 0.517460031365493
the regulation term lambda/alpha is 1.5444725801999222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26839283565069594
the lambda is 0.49922479359268357
the regulation term lambda/alpha is 1.8600526067782506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3218463509020595
the lambda is 0.522734834231096
the regulation term lambda/alpha is 1.6241751157531954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3330085402208126
the lambda is 0.5783549648344009
the regulation term lambda/alpha is 1.7367571547891925
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3552558120066429
the lambda is 0.5255107039833169
the regulation term lambda/alpha is 1.4792459017489357
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2659458408315876
the lambda is 0.44592983189837926
the regulation term lambda/alpha is 1.6767693395918455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3069830317357836
the lambda is 0.560386316527994
the regulation term lambda/alpha is 1.8254634901459679
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2917391166170553
the lambda is 0.5093440178445328
the regulation term lambda/alpha is 1.7458886684472674
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3354308264707859
the lambda is 0.5206316332232765
the regulation term lambda/alpha is 1.552128165145312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35293935613139843
the lambda is 0.5008695574823738
the regulation term lambda/alpha is 1.41913773225081
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3342659085644155
the lambda is 0.5327509978518224
the regulation term lambda/alpha is 1.5937939951455067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3260508011334734
the lambda is 0.5115980997540188
the regulation term lambda/alpha is 1.569074812806821
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.293498314491544
the lambda is 0.5061501248343973
the regulation term lambda/alpha is 1.7245418451933903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32041236539146306
the lambda is 0.5432327273278768
the regulation term lambda/alpha is 1.6954174869755212
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3055275824171895
the lambda is 0.4649751484290457
the regulation term lambda/alpha is 1.5218761748133591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.360696323159253
the lambda is 0.47396494340649764
the regulation term lambda/alpha is 1.3140276542193496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31872939168259146
the lambda is 0.4835532622919496
the regulation term lambda/alpha is 1.5171279301831662
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34910077798369343
the lambda is 0.5079814765580121
the regulation term lambda/alpha is 1.4551141349267918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3830754952581824
the lambda is 0.5238749644087389
the regulation term lambda/alpha is 1.3675501849985512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31119018117476144
the lambda is 0.5656602829446902
the regulation term lambda/alpha is 1.81773178321144
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32258033260740837
the lambda is 0.5690605045766719
the regulation term lambda/alpha is 1.7640892734438296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3290785682169763
the lambda is 0.5446937722135025
the regulation term lambda/alpha is 1.6552088917998493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32623552310481113
the lambda is 0.48637255859630374
the regulation term lambda/alpha is 1.4908632694792243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2656587239062497
the lambda is 0.49884001132572525
the regulation term lambda/alpha is 1.8777475250606286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2709414444271709
the lambda is 0.5330216930762207
the regulation term lambda/alpha is 1.9672947939107082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34820864812969243
the lambda is 0.4990647786281899
the regulation term lambda/alpha is 1.4332348760112075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3091004534263539
the lambda is 0.4334660739771695
the regulation term lambda/alpha is 1.402346936642223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196443008840369
the lambda is 0.49175239672535426
the regulation term lambda/alpha is 1.5384363036203674
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268488607569638
the lambda is 0.5477907319798478
the regulation term lambda/alpha is 1.6759756503700058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3503811708483785
the lambda is 0.5266508333460513
the regulation term lambda/alpha is 1.5030797233506321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365622813913322
the lambda is 0.5532205040548126
the regulation term lambda/alpha is 1.6437388698692728
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2994266576217471
the lambda is 0.4649857923946873
the regulation term lambda/alpha is 1.5529204917422015
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31522327272974887
the lambda is 0.5292127139456999
the regulation term lambda/alpha is 1.678850388687548
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919986667429274
the lambda is 0.4884702069357863
the regulation term lambda/alpha is 1.6728508125889163
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33221417441549556
the lambda is 0.4635461503841522
the regulation term lambda/alpha is 1.395323216415208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31072383329405473
the lambda is 0.5151127884024395
the regulation term lambda/alpha is 1.657783321419572
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32052925644701147
the lambda is 0.5974217192031398
the regulation term lambda/alpha is 1.8638601849497722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3715884418530172
the lambda is 0.5669238933872439
the regulation term lambda/alpha is 1.5256768767083777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28645829667491013
the lambda is 0.5394752782857889
the regulation term lambda/alpha is 1.8832593942915796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3261537898725301
the lambda is 0.5644669799604748
the regulation term lambda/alpha is 1.7306773598463598
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3209157177342167
the lambda is 0.5296196681266698
the regulation term lambda/alpha is 1.6503388237446892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3440684121814508
the lambda is 0.5047054127076676
the regulation term lambda/alpha is 1.466875176095799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3152015145795467
the lambda is 0.5528097644529482
the regulation term lambda/alpha is 1.753829657799556
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4277356919068076
the lambda is 0.5660020737233376
the regulation term lambda/alpha is 1.323251915686883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32578519812623546
the lambda is 0.4817742524842529
the regulation term lambda/alpha is 1.4788095200616656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3352431556753028
the lambda is 0.49086023537395174
the regulation term lambda/alpha is 1.4641916682390699
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350859209929056
the lambda is 0.5350970672789366
the regulation term lambda/alpha is 1.5968951058682817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.297345449779372
the lambda is 0.5310950820750151
the regulation term lambda/alpha is 1.786121437099789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2685879759228563
the lambda is 0.46114237846077855
the regulation term lambda/alpha is 1.716913710959375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.339974437200806
the lambda is 0.5539426115083085
the regulation term lambda/alpha is 1.6293654783848415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.349657184854889
the lambda is 0.5547147625912091
the regulation term lambda/alpha is 1.5864532079368565
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3302630410285461
the lambda is 0.4797596890033722
the regulation term lambda/alpha is 1.4526593333278985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3019805661513305
the lambda is 0.5125442044999328
the regulation term lambda/alpha is 1.6972754605774307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33819733899315807
the lambda is 0.5409257957930899
the regulation term lambda/alpha is 1.5994383557347656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009891485364402
the lambda is 0.5154222514403313
the regulation term lambda/alpha is 1.7124280192378099
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29789132788414235
the lambda is 0.475232037146475
the regulation term lambda/alpha is 1.5953201475247545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36276738586094265
the lambda is 0.5812906454926992
the regulation term lambda/alpha is 1.60237846109882
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31549154895261566
the lambda is 0.4972307892035083
the regulation term lambda/alpha is 1.5760510570068818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3280540448591536
the lambda is 0.5149341572586063
the regulation term lambda/alpha is 1.569662576419954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3168640524993724
the lambda is 0.5616215046924539
the regulation term lambda/alpha is 1.7724367919379755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.277923834758055
the lambda is 0.45954458858094327
the regulation term lambda/alpha is 1.6534911047877459
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34459960257601135
the lambda is 0.5021095989956986
the regulation term lambda/alpha is 1.4570811900020806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33846224111622375
the lambda is 0.5147974293697205
the regulation term lambda/alpha is 1.5209892473439761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32395280288300693
the lambda is 0.4563782271488902
the regulation term lambda/alpha is 1.408779992293222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28420076129497474
the lambda is 0.5137469223957493
the regulation term lambda/alpha is 1.8076901696351415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2925756838888545
the lambda is 0.4701282107448354
the regulation term lambda/alpha is 1.6068601617741776
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3200802551358436
the lambda is 0.5050364657223184
the regulation term lambda/alpha is 1.577843236559464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3485175081069458
the lambda is 0.5391318646231191
the regulation term lambda/alpha is 1.546929069794914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3203006893734198
the lambda is 0.4806485127181546
the regulation term lambda/alpha is 1.5006165414704888
820
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31346220278436865
the lambda is 0.4792473030744433
the regulation term lambda/alpha is 1.528883861650518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32384730393604333
the lambda is 0.5463907402623545
the regulation term lambda/alpha is 1.6871863178155755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3312233811279246
the lambda is 0.5028136026808898
the regulation term lambda/alpha is 1.518049845903523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066983745168514
the lambda is 0.5197660577220923
the regulation term lambda/alpha is 1.6947140934179747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31365380344187654
the lambda is 0.49675866402203145
the regulation term lambda/alpha is 1.583780137753331
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32285701443828657
the lambda is 0.5170256076668682
the regulation term lambda/alpha is 1.6014073863824834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31459318802312375
the lambda is 0.5128669601345766
the regulation term lambda/alpha is 1.6302544990162946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32085194531413896
the lambda is 0.5488563565499914
the regulation term lambda/alpha is 1.710621875808228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023695494045164
the lambda is 0.533603481282536
the regulation term lambda/alpha is 1.7647394796645675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28689542895100906
the lambda is 0.4806455019282391
the regulation term lambda/alpha is 1.675333426139443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2900421768478586
the lambda is 0.49590252444712524
the regulation term lambda/alpha is 1.709760041924008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37727997480731695
the lambda is 0.49806828571540207
the regulation term lambda/alpha is 1.320155637652843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322961065385997
the lambda is 0.49427382876476733
the regulation term lambda/alpha is 1.5304440124199508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31063541362160507
the lambda is 0.5096776511087429
the regulation term lambda/alpha is 1.6407583577370142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3065032562636021
the lambda is 0.4860468666657166
the regulation term lambda/alpha is 1.5857804337572896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29949331138479496
the lambda is 0.5281267290738922
the regulation term lambda/alpha is 1.7634007471884556
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.276642892540165
the lambda is 0.4797726279848991
the regulation term lambda/alpha is 1.7342669590372444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29753228369400186
the lambda is 0.5052867898874921
the regulation term lambda/alpha is 1.6982587019268003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043709473775712
the lambda is 0.5160546689089925
the regulation term lambda/alpha is 1.6954793923509013
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27579446628904924
the lambda is 0.5058991062068436
the regulation term lambda/alpha is 1.83433378128998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3437140984795005
the lambda is 0.513912810580338
the regulation term lambda/alpha is 1.4951752426035219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3439487404313237
the lambda is 0.5762010216522665
the regulation term lambda/alpha is 1.6752525999359393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30698445419985
the lambda is 0.45953712283021647
the regulation term lambda/alpha is 1.4969393939767814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32569268408227314
the lambda is 0.5259478287598963
the regulation term lambda/alpha is 1.6148592045961854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.291082454697019
the lambda is 0.5261101786104903
the regulation term lambda/alpha is 1.8074266247277122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2952281969489184
the lambda is 0.46902270198906826
the regulation term lambda/alpha is 1.588678543703671
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3366763958349047
the lambda is 0.5231745881769807
the regulation term lambda/alpha is 1.5539390187410962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172153728592658
the lambda is 0.5691334424359784
the regulation term lambda/alpha is 1.7941546694474901
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989667475949138
the lambda is 0.5003135733132759
the regulation term lambda/alpha is 1.673475653523775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26700755663964854
the lambda is 0.5004278305387498
the regulation term lambda/alpha is 1.874208493709875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360432711879155
the lambda is 0.53242509699993
the regulation term lambda/alpha is 1.5843944594331656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190927099002021
the lambda is 0.4790507809382438
the regulation term lambda/alpha is 1.501290271056551
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2857832299286175
the lambda is 0.4693156707028387
the regulation term lambda/alpha is 1.6422085747300976
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3053248911034173
the lambda is 0.5216880306605947
the regulation term lambda/alpha is 1.7086324956188799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31130038881958544
the lambda is 0.4747545560298836
the regulation term lambda/alpha is 1.5250689465249214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3529487587864943
the lambda is 0.5046995408087357
the regulation term lambda/alpha is 1.4299513123207737
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28614049974971406
the lambda is 0.5340332878798617
the regulation term lambda/alpha is 1.8663324078450219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224704256227176
the lambda is 0.5081560917572573
the regulation term lambda/alpha is 1.5758223123127182
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3010615744266763
the lambda is 0.47310904472497234
the regulation term lambda/alpha is 1.5714693767410637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33624685347924116
the lambda is 0.5452890726581388
the regulation term lambda/alpha is 1.6216927147893838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3498400788621459
the lambda is 0.5248088936514882
the regulation term lambda/alpha is 1.5001394218707815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3170453462710786
the lambda is 0.49259946190211157
the regulation term lambda/alpha is 1.5537192634927735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34086429105273713
the lambda is 0.5370972711396406
the regulation term lambda/alpha is 1.575692395002277
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3072300274170285
the lambda is 0.5356928959349702
the regulation term lambda/alpha is 1.7436215477982244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3189490025339762
the lambda is 0.5283190578163219
the regulation term lambda/alpha is 1.6564374041584988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2941369866208028
the lambda is 0.4377316768531189
the regulation term lambda/alpha is 1.488189846105401
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3135695045968542
the lambda is 0.5286378494089148
the regulation term lambda/alpha is 1.6858713671425631
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3165550057978764
the lambda is 0.5225858088178268
the regulation term lambda/alpha is 1.6508530879195864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3687379326028801
the lambda is 0.5386897411317779
the regulation term lambda/alpha is 1.4609013434805225
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33288747408577274
the lambda is 0.48424404002732435
the regulation term lambda/alpha is 1.4546778648167238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215306528589136
the lambda is 0.491149954123374
the regulation term lambda/alpha is 1.527536954117058
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32646827079014673
the lambda is 0.4828678753395916
the regulation term lambda/alpha is 1.4790652524084897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004210098633823
the lambda is 0.4936912720693988
the regulation term lambda/alpha is 1.6433313778350818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32026266307754203
the lambda is 0.48637344736170895
the regulation term lambda/alpha is 1.5186704646989966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2786606322862078
the lambda is 0.5604100482983035
the regulation term lambda/alpha is 2.0110843921530885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31948218538627987
the lambda is 0.4529244978089882
the regulation term lambda/alpha is 1.417683108876214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2850381424660703
the lambda is 0.5429668638071354
the regulation term lambda/alpha is 1.904891952738458
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090275302448876
the lambda is 0.47167012240356243
the regulation term lambda/alpha is 1.526304540018779
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2893738783509873
the lambda is 0.5026320649593609
the regulation term lambda/alpha is 1.7369641925651231
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26735909117919415
the lambda is 0.47072642051580066
the regulation term lambda/alpha is 1.760652381183859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388005348122231
the lambda is 0.49239016061577867
the regulation term lambda/alpha is 1.453333480977771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29759293540303006
the lambda is 0.5031630677129463
the regulation term lambda/alpha is 1.6907762512289233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2972702275333438
the lambda is 0.49009506499038696
the regulation term lambda/alpha is 1.6486516966634832
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3113731107256354
the lambda is 0.5228628593088958
the regulation term lambda/alpha is 1.6792164811225891
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32836617488404163
the lambda is 0.46880792827037704
the regulation term lambda/alpha is 1.4276986003078138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30548274324347874
the lambda is 0.5056790206960716
the regulation term lambda/alpha is 1.6553439822066498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350877398084944
the lambda is 0.5314695735646571
the regulation term lambda/alpha is 1.5860609339762675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33591057060821033
the lambda is 0.550828091914974
the regulation term lambda/alpha is 1.6398057700822786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052612027784891
the lambda is 0.5448388027890623
the regulation term lambda/alpha is 1.784828199030655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31074126145371517
the lambda is 0.4927608811331348
the regulation term lambda/alpha is 1.585759415495362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39275468847851575
the lambda is 0.5701772551654426
the regulation term lambda/alpha is 1.4517388891632088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3492421728693886
the lambda is 0.5198400873566406
the regulation term lambda/alpha is 1.4884802802754669
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32610444008633865
the lambda is 0.46988326351694404
the regulation term lambda/alpha is 1.44089808587868
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222870206296614
the lambda is 0.5032244659913048
the regulation term lambda/alpha is 1.561417102705969
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314389422926334
the lambda is 0.5592313949844079
the regulation term lambda/alpha is 1.6872833080991807
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192714395166134
the lambda is 0.5086543923508775
the regulation term lambda/alpha is 1.5931722333854716
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3136118981647704
the lambda is 0.49739124704505744
the regulation term lambda/alpha is 1.5860088534770134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32883629650599583
the lambda is 0.5398834921382293
the regulation term lambda/alpha is 1.6418001840876022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30094160233045897
the lambda is 0.4894937902499555
the regulation term lambda/alpha is 1.6265407855190805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2907482506058768
the lambda is 0.47032085866642914
the regulation term lambda/alpha is 1.6176223165104153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3414932804832484
the lambda is 0.5221652418620293
the regulation term lambda/alpha is 1.5290644697989704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29705021977683205
the lambda is 0.5131434847427134
the regulation term lambda/alpha is 1.7274637437677305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3435519687023451
the lambda is 0.5088653563101889
the regulation term lambda/alpha is 1.4811888816479815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3215985159042717
the lambda is 0.4896728401834943
the regulation term lambda/alpha is 1.522621579290037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.346338775363676
the lambda is 0.5152605345160932
the regulation term lambda/alpha is 1.48773562525605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27977077681908485
the lambda is 0.5219457107026885
the regulation term lambda/alpha is 1.8656191208998474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31572000986606197
the lambda is 0.521963211229849
the regulation term lambda/alpha is 1.6532471649525213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35782101974483993
the lambda is 0.5663644550685726
the regulation term lambda/alpha is 1.5828149376815364
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27067025114416576
the lambda is 0.482539775143342
the regulation term lambda/alpha is 1.78275881114962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197095750824376
the lambda is 0.5178819315117935
the regulation term lambda/alpha is 1.6198511770511
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3533249460899683
the lambda is 0.5251855117919872
the regulation term lambda/alpha is 1.486409373591916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32052010081453763
the lambda is 0.5346420227006821
the regulation term lambda/alpha is 1.668045221943948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28904017191721426
the lambda is 0.5120589907246187
the regulation term lambda/alpha is 1.7715841619111705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29589153018272607
the lambda is 0.49467343609688064
the regulation term lambda/alpha is 1.671806677911321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30720135912998386
the lambda is 0.5306218128130001
the regulation term lambda/alpha is 1.7272769050103127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30313117827969027
the lambda is 0.54941370931519
the regulation term lambda/alpha is 1.8124618933399916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046084396615362
the lambda is 0.5158996565157393
the regulation term lambda/alpha is 1.6936485971596127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2792312585918382
the lambda is 0.5209505869869157
the regulation term lambda/alpha is 1.8656599895515522
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32386176375694564
the lambda is 0.49755124064737344
the regulation term lambda/alpha is 1.536307450671391
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29660272069075105
the lambda is 0.4905205913910589
the regulation term lambda/alpha is 1.6537966686505678
830
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3317447454451371
the lambda is 0.5735340296789281
the regulation term lambda/alpha is 1.7288413382685435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3344571329265353
the lambda is 0.5464545799972785
the regulation term lambda/alpha is 1.6338553620182747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33331060856535055
the lambda is 0.5477887785809278
the regulation term lambda/alpha is 1.643478378737308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29488940680459874
the lambda is 0.493684111835437
the regulation term lambda/alpha is 1.6741330832631933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3294441462836826
the lambda is 0.5044910256763622
the regulation term lambda/alpha is 1.5313400810647508
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31111813449386044
the lambda is 0.47765117962783615
the regulation term lambda/alpha is 1.5352727040643208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2799250620235793
the lambda is 0.4696980918908877
the regulation term lambda/alpha is 1.6779422624592397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28127958122318375
the lambda is 0.47941020291171554
the regulation term lambda/alpha is 1.7043903465261607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30711885071274353
the lambda is 0.48072667298593535
the regulation term lambda/alpha is 1.565278952660486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2586114350034414
the lambda is 0.505874165368856
the regulation term lambda/alpha is 1.956116771720184
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3461951551560519
the lambda is 0.5272182103259757
the regulation term lambda/alpha is 1.522893092158743
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30176097055296836
the lambda is 0.5317790468374299
the regulation term lambda/alpha is 1.7622525731639849
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2960187792657436
the lambda is 0.5230615014804146
the regulation term lambda/alpha is 1.7669875633493137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3044572108553807
the lambda is 0.5031649034816732
the regulation term lambda/alpha is 1.6526621329414992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3335197301034212
the lambda is 0.508677315251285
the regulation term lambda/alpha is 1.525179080390684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33645894517176617
the lambda is 0.5982024930587934
the regulation term lambda/alpha is 1.7779360651368745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099927606865521
the lambda is 0.4720524120370017
the regulation term lambda/alpha is 1.5227852772804444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087044312261026
the lambda is 0.4848693832386072
the regulation term lambda/alpha is 1.5706589675853313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421734083401291
the lambda is 0.4977990655483131
the regulation term lambda/alpha is 1.4548151709483168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3267981191751227
the lambda is 0.48631833096419586
the regulation term lambda/alpha is 1.48813075237924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.294367419847542
the lambda is 0.5853275943815973
the regulation term lambda/alpha is 1.9884251955761567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336292586515503
the lambda is 0.4947314558286875
the regulation term lambda/alpha is 1.4711339936299206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2656851613727965
the lambda is 0.46808081805171126
the regulation term lambda/alpha is 1.761787582088271
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31410648473892483
the lambda is 0.5403386898768623
the regulation term lambda/alpha is 1.7202404793583754
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31078009299505566
the lambda is 0.5289733464499641
the regulation term lambda/alpha is 1.7020824640089793
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3694854164972181
the lambda is 0.5369496730162745
the regulation term lambda/alpha is 1.4532364446387216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3272703776756973
the lambda is 0.5564533462407543
the regulation term lambda/alpha is 1.700286320420242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2802829944787623
the lambda is 0.4834576460587671
the regulation term lambda/alpha is 1.7248911121341677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.358450762481053
the lambda is 0.4963531869242196
the regulation term lambda/alpha is 1.3847178995761122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32175110202689894
the lambda is 0.5150595743335032
the regulation term lambda/alpha is 1.6008012749259934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35792406107017993
the lambda is 0.5169308852917739
the regulation term lambda/alpha is 1.444247373999304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3541086688758502
the lambda is 0.5271273673144364
the regulation term lambda/alpha is 1.4886033967704029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31545244688257135
the lambda is 0.48984268926201135
the regulation term lambda/alpha is 1.5528257716902656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30259459522827326
the lambda is 0.5041156341490224
the regulation term lambda/alpha is 1.6659769939668763
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33886730429120554
the lambda is 0.4954044846066844
the regulation term lambda/alpha is 1.4619424132490477
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322637300374486
the lambda is 0.45990300040895343
the regulation term lambda/alpha is 1.4254489480142027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2928527759597211
the lambda is 0.5201534560408366
the regulation term lambda/alpha is 1.7761602372940404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32323713086730177
the lambda is 0.5059613038869707
the regulation term lambda/alpha is 1.5652945023035814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116573740172907
the lambda is 0.4847770699986002
the regulation term lambda/alpha is 1.5554808273899685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34234611763396994
the lambda is 0.5655291062121667
the regulation term lambda/alpha is 1.6519220668271746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.350902664395983
the lambda is 0.5392314793994427
the regulation term lambda/alpha is 1.5366981619465174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2731117906697574
the lambda is 0.5131348757343127
the regulation term lambda/alpha is 1.8788455616505682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32421907594823274
the lambda is 0.48416724361728986
the regulation term lambda/alpha is 1.493333611544176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398260804465335
the lambda is 0.527492733483728
the regulation term lambda/alpha is 1.5522432321574595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32579090666718535
the lambda is 0.48611981056700787
the regulation term lambda/alpha is 1.4921220961627635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32376778496491204
the lambda is 0.5445911641072542
the regulation term lambda/alpha is 1.6820424680802435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29843468026768005
the lambda is 0.5072467218011102
the regulation term lambda/alpha is 1.6996909385535783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29137601886262254
the lambda is 0.5316553328208531
the regulation term lambda/alpha is 1.8246365466044652
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3061169091577943
the lambda is 0.4488054493883671
the regulation term lambda/alpha is 1.4661243334226304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3409884992330701
the lambda is 0.5825089660268771
the regulation term lambda/alpha is 1.7082950519944795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32565667606978477
the lambda is 0.4653114139095323
the regulation term lambda/alpha is 1.4288403957357256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31245331621510897
the lambda is 0.49673785180182617
the regulation term lambda/alpha is 1.5897986227800067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.375166304236512
the lambda is 0.5319728649171493
the regulation term lambda/alpha is 1.4179654700060258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3119919608432664
the lambda is 0.5374779441241627
the regulation term lambda/alpha is 1.7227301071202037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.303890448280266
the lambda is 0.5018018760628363
the regulation term lambda/alpha is 1.6512591261178584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30085125380275063
the lambda is 0.5274279616150165
the regulation term lambda/alpha is 1.7531187088248534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3376120478475476
the lambda is 0.5401221877317215
the regulation term lambda/alpha is 1.5998309040666094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30387873613386523
the lambda is 0.4743230576160476
the regulation term lambda/alpha is 1.5608958482935704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33681736497204334
the lambda is 0.4886601551912446
the regulation term lambda/alpha is 1.450816394908275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192787972183773
the lambda is 0.5037170600240591
the regulation term lambda/alpha is 1.5776715034400843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2945126428529294
the lambda is 0.5126180856793232
the regulation term lambda/alpha is 1.7405639388299843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32874811954176614
the lambda is 0.5247349462465297
the regulation term lambda/alpha is 1.5961610578273262
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3366920435512379
the lambda is 0.5302572819994605
the regulation term lambda/alpha is 1.5749029184254122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319635000613207
the lambda is 0.5231126365358008
the regulation term lambda/alpha is 1.63659372575666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29056011286346717
the lambda is 0.47208626027610223
the regulation term lambda/alpha is 1.6247455840503935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2706523740185036
the lambda is 0.481065312544644
the regulation term lambda/alpha is 1.7774287563121658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.363915404672108
the lambda is 0.5593183345464511
the regulation term lambda/alpha is 1.53694602472353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32357970463974867
the lambda is 0.5345609261473193
the regulation term lambda/alpha is 1.652022418224476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057261747439283
the lambda is 0.5069646633235874
the regulation term lambda/alpha is 1.6582311401639502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34192887175802883
the lambda is 0.5389643958450446
the regulation term lambda/alpha is 1.5762471097393933
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3116137304611468
the lambda is 0.5610781829962761
the regulation term lambda/alpha is 1.8005566769023789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3054057808470609
the lambda is 0.47298658987386155
the regulation term lambda/alpha is 1.5487152488142348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3368534689882854
the lambda is 0.5386999004057087
the regulation term lambda/alpha is 1.5992113782400823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3352500502607853
the lambda is 0.49676262146584466
the regulation term lambda/alpha is 1.4817674779747878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3184418854714672
the lambda is 0.4898326183332844
the regulation term lambda/alpha is 1.5382166752594928
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33098587037291594
the lambda is 0.5345201648852399
the regulation term lambda/alpha is 1.6149334842692997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33475525915572757
the lambda is 0.5164072814948029
the regulation term lambda/alpha is 1.5426412800719318
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323975881116724
the lambda is 0.605432113769114
the regulation term lambda/alpha is 1.868756747206701
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29897797655227204
the lambda is 0.5267199486717619
the regulation term lambda/alpha is 1.7617349436428218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30326043081588294
the lambda is 0.49396503517743984
the regulation term lambda/alpha is 1.6288476338587623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32521467399888493
the lambda is 0.537804512292231
the regulation term lambda/alpha is 1.6536907934667027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29769865059282713
the lambda is 0.4836786990861563
the regulation term lambda/alpha is 1.624725870013098
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35323565329891554
the lambda is 0.49156207735238117
the regulation term lambda/alpha is 1.3915981378482507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3188605470968678
the lambda is 0.5689994979277917
the regulation term lambda/alpha is 1.7844775815269907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3141962614062203
the lambda is 0.5626322892551783
the regulation term lambda/alpha is 1.7907033226208833
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3562312189291262
the lambda is 0.559182222981562
the regulation term lambda/alpha is 1.569717063716456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34079809506223513
the lambda is 0.5230599052656704
the regulation term lambda/alpha is 1.5348087704837416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34152658094045
the lambda is 0.5034002165951394
the regulation term lambda/alpha is 1.473970825957217
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31414143526721755
the lambda is 0.4805973179681002
the regulation term lambda/alpha is 1.5298756038320465
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30699434638424017
the lambda is 0.500387785005028
the regulation term lambda/alpha is 1.6299576552420703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3656088032519571
the lambda is 0.6169464927396286
the regulation term lambda/alpha is 1.6874497748744406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2854440847744106
the lambda is 0.4910752156754139
the regulation term lambda/alpha is 1.7203902335671653
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2927471202663533
the lambda is 0.4912443107546384
the regulation term lambda/alpha is 1.678050019100732
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.267351794629127
the lambda is 0.48547064872997503
the regulation term lambda/alpha is 1.8158495977310518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3270044284388673
the lambda is 0.5391115835063741
the regulation term lambda/alpha is 1.6486369499034468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31569505437334455
the lambda is 0.5074320015763197
the regulation term lambda/alpha is 1.6073485933556149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34865312167982593
the lambda is 0.5503365180344534
the regulation term lambda/alpha is 1.5784643355060413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33584252615906196
the lambda is 0.5875712508559191
the regulation term lambda/alpha is 1.7495439233851915
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33921802134140167
the lambda is 0.518454529363031
the regulation term lambda/alpha is 1.5283814442194363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3518873179226891
the lambda is 0.49283759246293934
the regulation term lambda/alpha is 1.4005551418344024
840
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387630830082294
the lambda is 0.5415879917519398
the regulation term lambda/alpha is 1.5987219945651023
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36761866725486475
the lambda is 0.5400588245277576
the regulation term lambda/alpha is 1.469073452010919
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3546966442048599
the lambda is 0.5443860114651269
the regulation term lambda/alpha is 1.5347932391226946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35232104747848886
the lambda is 0.5088451443910356
the regulation term lambda/alpha is 1.4442655300691434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2974943767267433
the lambda is 0.4651374029981087
the regulation term lambda/alpha is 1.5635166221153487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3028736747639064
the lambda is 0.49995509957032386
the regulation term lambda/alpha is 1.650705033905785
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919732884350822
the lambda is 0.5344399083780028
the regulation term lambda/alpha is 1.8304411038506045
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3027003868601253
the lambda is 0.4845461272242159
the regulation term lambda/alpha is 1.6007449883046223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2781624621559158
the lambda is 0.5157703490785451
the regulation term lambda/alpha is 1.8542054347701498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38566779361697046
the lambda is 0.5646635809480997
the regulation term lambda/alpha is 1.464119094966225
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33756143323038706
the lambda is 0.5088158427747315
the regulation term lambda/alpha is 1.507328126633064
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30624664018449665
the lambda is 0.5004886785132544
the regulation term lambda/alpha is 1.6342666754212802
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3279120636358762
the lambda is 0.5168043304006676
the regulation term lambda/alpha is 1.5760454942412345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3153438841023137
the lambda is 0.4641884453768006
the regulation term lambda/alpha is 1.4720071286563914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34193766082614646
the lambda is 0.5412132012747434
the regulation term lambda/alpha is 1.582783247587097
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2990657467566309
the lambda is 0.5161302669625227
the regulation term lambda/alpha is 1.7258086977862137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30901540166487357
the lambda is 0.49783483333393463
the regulation term lambda/alpha is 1.6110356657039226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3738277499860034
the lambda is 0.5136567107174115
the regulation term lambda/alpha is 1.3740464979837466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3473087357316231
the lambda is 0.5103084597744351
the regulation term lambda/alpha is 1.4693222694195842
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301912935301569
the lambda is 0.512712693332901
the regulation term lambda/alpha is 1.5527747199248128
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30765331533734336
the lambda is 0.5241699338287142
the regulation term lambda/alpha is 1.7037681952296186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33140285390339913
the lambda is 0.5177546379238485
the regulation term lambda/alpha is 1.562311947002029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29894418784735016
the lambda is 0.4969439334012241
the regulation term lambda/alpha is 1.6623301392130712
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27435684748272
the lambda is 0.4992612791504311
the regulation term lambda/alpha is 1.8197514796195362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32128650913187073
the lambda is 0.5257800618840361
the regulation term lambda/alpha is 1.6364834717296888
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3042876934025605
the lambda is 0.5037475355862038
the regulation term lambda/alpha is 1.655497565324687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31605096759025186
the lambda is 0.4835829263492289
the regulation term lambda/alpha is 1.530078930105273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32483381965565267
the lambda is 0.476981402852498
the regulation term lambda/alpha is 1.4683859068557972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31045224279926403
the lambda is 0.49463883265399444
the regulation term lambda/alpha is 1.5932847776971095
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295176644842561
the lambda is 0.5222641791461827
the regulation term lambda/alpha is 1.584935302219999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32908172841776
the lambda is 0.5245627883432743
the regulation term lambda/alpha is 1.5940197921817056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35712460703256194
the lambda is 0.5648525215349894
the regulation term lambda/alpha is 1.5816678840153047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29929726773679555
the lambda is 0.46005220347621856
the regulation term lambda/alpha is 1.5371079293673746
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32324852597789433
the lambda is 0.5286355895193395
the regulation term lambda/alpha is 1.635384377763538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3262057679009267
the lambda is 0.5517843258237972
the regulation term lambda/alpha is 1.6915222847665339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3497753045909665
the lambda is 0.5110942265606618
the regulation term lambda/alpha is 1.4612072946611956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3075502672652249
the lambda is 0.5759192602758758
the regulation term lambda/alpha is 1.87260204777912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2943475346546793
the lambda is 0.5071804854843399
the regulation term lambda/alpha is 1.7230668708652532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29621326000847964
the lambda is 0.5346984648699772
the regulation term lambda/alpha is 1.8051131973452859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32839036122981663
the lambda is 0.49223628999911656
the regulation term lambda/alpha is 1.4989364735179789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322664576078023
the lambda is 0.5223553415159679
the regulation term lambda/alpha is 1.618880348953019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30089967950083957
the lambda is 0.5055080105296003
the regulation term lambda/alpha is 1.6799885309555134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196289884273123
the lambda is 0.5438831841572033
the regulation term lambda/alpha is 1.7016078135881885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31293540224187627
the lambda is 0.4653547094142622
the regulation term lambda/alpha is 1.4870631640921756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26392030351719464
the lambda is 0.41763116085024704
the regulation term lambda/alpha is 1.582413915430489
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073031518696232
the lambda is 0.4874133818403771
the regulation term lambda/alpha is 1.5860995205384931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37502926846717216
the lambda is 0.5326534918273103
the regulation term lambda/alpha is 1.4202984583160223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3706124895588014
the lambda is 0.5575529151363823
the regulation term lambda/alpha is 1.5044094056304622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2748042840409958
the lambda is 0.5263863999253429
the regulation term lambda/alpha is 1.9154956108574186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3237735691806807
the lambda is 0.53958752706183
the regulation term lambda/alpha is 1.6665582938943206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3176564589859153
the lambda is 0.5032314879890506
the regulation term lambda/alpha is 1.584200395595808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172704602285348
the lambda is 0.5324848863568408
the regulation term lambda/alpha is 1.6783311184195457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.323787794903741
the lambda is 0.5096071905149381
the regulation term lambda/alpha is 1.5738925263271255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3201489309485879
the lambda is 0.4904598008997628
the regulation term lambda/alpha is 1.5319738830504634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3155770801194349
the lambda is 0.5181267598859282
the regulation term lambda/alpha is 1.641839007097205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2782852050750412
the lambda is 0.43396027762985445
the regulation term lambda/alpha is 1.5594083685219076
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3106549044180425
the lambda is 0.49559665353913124
the regulation term lambda/alpha is 1.5953285993264605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29381538123881296
the lambda is 0.490408842102877
the regulation term lambda/alpha is 1.6691054091013466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3304645946354655
the lambda is 0.5062849763611869
the regulation term lambda/alpha is 1.5320399963562459
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31229065483684626
the lambda is 0.4858388204114562
the regulation term lambda/alpha is 1.5557264134761855
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.315749895550901
the lambda is 0.506927298714425
the regulation term lambda/alpha is 1.6054709941549448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36165496694421456
the lambda is 0.574336644197227
the regulation term lambda/alpha is 1.5880789611436987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3470458947522834
the lambda is 0.4984174591878021
the regulation term lambda/alpha is 1.436171603596019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3028364509437104
the lambda is 0.49998728496984424
the regulation term lambda/alpha is 1.651014213816616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3204964512191908
the lambda is 0.4607349993415521
the regulation term lambda/alpha is 1.4375666176298805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32860092651991857
the lambda is 0.5191827839902066
the regulation term lambda/alpha is 1.5799796716602856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2878518090018394
the lambda is 0.4935773129363257
the regulation term lambda/alpha is 1.7146924129046266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30642878028008996
the lambda is 0.5267346466684878
the regulation term lambda/alpha is 1.7189463933088405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3270191248217876
the lambda is 0.5206327660971164
the regulation term lambda/alpha is 1.59205601929502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3029808650229908
the lambda is 0.5194938059131176
the regulation term lambda/alpha is 1.714609290173151
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3031652728073686
the lambda is 0.4824826322499046
the regulation term lambda/alpha is 1.591483839102094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30429906460651723
the lambda is 0.4879473782627013
the regulation term lambda/alpha is 1.6035125802757753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151746263898389
the lambda is 0.5235368736035371
the regulation term lambda/alpha is 1.661100957270511
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360792209796228
the lambda is 0.4818842612894264
the regulation term lambda/alpha is 1.433841282673778
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3269697539972726
the lambda is 0.5213461245436698
the regulation term lambda/alpha is 1.5944781380237958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31849733402580205
the lambda is 0.5338222827223411
the regulation term lambda/alpha is 1.6760651524922818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33908582456651054
the lambda is 0.5190494168924414
the regulation term lambda/alpha is 1.5307316888165334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875123389519999
the lambda is 0.5190756972912165
the regulation term lambda/alpha is 1.8054032017661545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2583027303511209
the lambda is 0.5077943642408216
the regulation term lambda/alpha is 1.9658884888694637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31391772208603286
the lambda is 0.49334857890830885
the regulation term lambda/alpha is 1.5715856232325134
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26368200148997173
the lambda is 0.4969337905254889
the regulation term lambda/alpha is 1.8845950338570536
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398819286204781
the lambda is 0.506584654213325
the regulation term lambda/alpha is 1.490472459861177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156673169710652
the lambda is 0.5528837453848052
the regulation term lambda/alpha is 1.7514760498169781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32358242498973394
the lambda is 0.5098384652258704
the regulation term lambda/alpha is 1.5756061697171768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2773971984011928
the lambda is 0.4811258802237612
the regulation term lambda/alpha is 1.7344294859385008
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066392583980025
the lambda is 0.520080087362885
the regulation term lambda/alpha is 1.6960649138012425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30146981794059113
the lambda is 0.5277537296951768
the regulation term lambda/alpha is 1.7506022105309993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3313374434918163
the lambda is 0.5019973233449451
the regulation term lambda/alpha is 1.5150636706030596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2835485606100928
the lambda is 0.5482268227122729
the regulation term lambda/alpha is 1.933449499911723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32791900912139316
the lambda is 0.516640011324963
the regulation term lambda/alpha is 1.575511016300085
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35285763300636885
the lambda is 0.577598472850517
the regulation term lambda/alpha is 1.636916475149885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3114527796431699
the lambda is 0.5331675950052012
the regulation term lambda/alpha is 1.7118729703297204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2924475911432167
the lambda is 0.520778700337702
the regulation term lambda/alpha is 1.7807590696914564
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31961838761829797
the lambda is 0.532427736720771
the regulation term lambda/alpha is 1.6658232359166367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34455411916912954
the lambda is 0.5212393164124823
the regulation term lambda/alpha is 1.5127937453466467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087441372879313
the lambda is 0.5221827891119293
the regulation term lambda/alpha is 1.691312404176755
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3221083117329181
the lambda is 0.5299666208000174
the regulation term lambda/alpha is 1.6453056363210175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30045942688112964
the lambda is 0.5061481126242627
the regulation term lambda/alpha is 1.6845805700897827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30048679529515926
the lambda is 0.5021125269428038
the regulation term lambda/alpha is 1.670996978251885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32014172723514195
the lambda is 0.4877457570361626
the regulation term lambda/alpha is 1.5235307226224735
850
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919746133114065
the lambda is 0.5514045231979469
the regulation term lambda/alpha is 1.888535845442989
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3225435755192784
the lambda is 0.5013947651999351
the regulation term lambda/alpha is 1.5545024091480213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2988131652908706
the lambda is 0.5426161446831226
the regulation term lambda/alpha is 1.8159044102187714
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34062877103184974
the lambda is 0.5507609624220671
the regulation term lambda/alpha is 1.6168950166883271
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365911636828122
the lambda is 0.5600033080146078
the regulation term lambda/alpha is 1.6637492852971292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32522440061080343
the lambda is 0.5011144894166654
the regulation term lambda/alpha is 1.5408268520920418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3457146732850983
the lambda is 0.4845505851801462
the regulation term lambda/alpha is 1.401591030475455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32185278076122803
the lambda is 0.44954632365391334
the regulation term lambda/alpha is 1.3967451907380504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33895325620754124
the lambda is 0.5352968807786788
the regulation term lambda/alpha is 1.5792646064769362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089994534096662
the lambda is 0.5385495737411321
the regulation term lambda/alpha is 1.7428819624063614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34081873311634897
the lambda is 0.5333471974259334
the regulation term lambda/alpha is 1.5648998884220924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3289611864642104
the lambda is 0.5030948153076001
the regulation term lambda/alpha is 1.529343995609448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2955911604305339
the lambda is 0.4930053369423465
the regulation term lambda/alpha is 1.6678622467068205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3149685949911436
the lambda is 0.553466675833
the regulation term lambda/alpha is 1.7572122574587559
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34614392603021576
the lambda is 0.5370735404671768
the regulation term lambda/alpha is 1.5515902492545668
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32092751086555893
the lambda is 0.4815970642697055
the regulation term lambda/alpha is 1.5006412599867553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28672437114401905
the lambda is 0.46188388977085765
the regulation term lambda/alpha is 1.6108986059606965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31995907348413877
the lambda is 0.4964947738943909
the regulation term lambda/alpha is 1.5517446293611783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3313732212630159
the lambda is 0.5689436735198562
the regulation term lambda/alpha is 1.7169271293297328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365161211331664
the lambda is 0.5299790671882123
the regulation term lambda/alpha is 1.5748994889266792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32675169088980477
the lambda is 0.4886539220707157
the regulation term lambda/alpha is 1.4954901097528261
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30499059847674215
the lambda is 0.519828733165477
the regulation term lambda/alpha is 1.7044090400219922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38551550910402765
the lambda is 0.5500031037354458
the regulation term lambda/alpha is 1.4266692020087648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.318372077009195
the lambda is 0.5233477677989001
the regulation term lambda/alpha is 1.643824335083837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.307387610401866
the lambda is 0.5349867640896404
the regulation term lambda/alpha is 1.7404304727513922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3138313390193881
the lambda is 0.4722620608714264
the regulation term lambda/alpha is 1.5048276005419927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3168566616166677
the lambda is 0.43525220915326257
the regulation term lambda/alpha is 1.3736564884970903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3110648371735801
the lambda is 0.5089479867561704
the regulation term lambda/alpha is 1.6361475999042854
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33407796999133893
the lambda is 0.47682410308138423
the regulation term lambda/alpha is 1.4272838855364993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3505186382528827
the lambda is 0.5200211450048245
the regulation term lambda/alpha is 1.4835763016677412
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3255093564400475
the lambda is 0.48905447413725645
the regulation term lambda/alpha is 1.5024283156890783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33149402101087777
the lambda is 0.5052424094299858
the regulation term lambda/alpha is 1.5241373219621555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3321978453420785
the lambda is 0.5256467733427805
the regulation term lambda/alpha is 1.5823304717750328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3118701193895938
the lambda is 0.5111690308325978
the regulation term lambda/alpha is 1.6390445863588368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33054121944557785
the lambda is 0.515406645451099
the regulation term lambda/alpha is 1.5592810068154253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2901227734286105
the lambda is 0.5140998177923344
the regulation term lambda/alpha is 1.7720078011002371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3586220102387892
the lambda is 0.5243255390754388
the regulation term lambda/alpha is 1.462056215474102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30983269464358437
the lambda is 0.48806706316398557
the regulation term lambda/alpha is 1.575260040666247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3340310885926596
the lambda is 0.4847044552731583
the regulation term lambda/alpha is 1.4510758783420907
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298639141361403
the lambda is 0.5190966073576581
the regulation term lambda/alpha is 1.7382068706441425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3482664022797282
the lambda is 0.5570944601341735
the regulation term lambda/alpha is 1.5996216014162463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2917011745660243
the lambda is 0.5026696405545866
the regulation term lambda/alpha is 1.723234886874997
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31779522130251875
the lambda is 0.5293373008336681
the regulation term lambda/alpha is 1.665655319372396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3655426299431302
the lambda is 0.5088047831012792
the regulation term lambda/alpha is 1.3919164043341188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156784477094077
the lambda is 0.5211899364144144
the regulation term lambda/alpha is 1.6510152663136088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169297598064593
the lambda is 0.4931144092285708
the regulation term lambda/alpha is 1.5559107151367004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28934690658692575
the lambda is 0.48543343761414265
the regulation term lambda/alpha is 1.677686633460892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2723882903073956
the lambda is 0.5009160844313446
the regulation term lambda/alpha is 1.83897804074489
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31533890707747264
the lambda is 0.5062132033701774
the regulation term lambda/alpha is 1.6052989085987117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3449177366520523
the lambda is 0.5286625848711209
the regulation term lambda/alpha is 1.5327207872885575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2792109141999159
the lambda is 0.49489154957967696
the regulation term lambda/alpha is 1.7724649159858166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29853695011336884
the lambda is 0.5416275712300651
the regulation term lambda/alpha is 1.8142731444947873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073932174134443
the lambda is 0.5207071117323918
the regulation term lambda/alpha is 1.6939447009074375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3455837368447535
the lambda is 0.5275974536858182
the regulation term lambda/alpha is 1.526684844902961
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32474519200303736
the lambda is 0.4977990579783761
the regulation term lambda/alpha is 1.5328912336097655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33913796193832013
the lambda is 0.5383238601545605
the regulation term lambda/alpha is 1.5873299971427757
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32619339880312037
the lambda is 0.501308912808047
the regulation term lambda/alpha is 1.5368456708427156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35739842004365396
the lambda is 0.5198662220194578
the regulation term lambda/alpha is 1.4545845556786718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099343504764929
the lambda is 0.5245391624516497
the regulation term lambda/alpha is 1.6924202226865896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31509428668963857
the lambda is 0.5025924189515307
the regulation term lambda/alpha is 1.595054052651148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36307726200371326
the lambda is 0.500471443624163
the regulation term lambda/alpha is 1.3784158249464946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3424355927930487
the lambda is 0.5568711509462277
the regulation term lambda/alpha is 1.6262069792574787
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3128100933205934
the lambda is 0.5835962534667626
the regulation term lambda/alpha is 1.865656722491513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33693561392470034
the lambda is 0.5482150746298806
the regulation term lambda/alpha is 1.6270618241988448
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2993807909165046
the lambda is 0.5353487246669574
the regulation term lambda/alpha is 1.7881866202172694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3440796472741034
the lambda is 0.5287990110578537
the regulation term lambda/alpha is 1.5368505962126777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3911347767054717
the lambda is 0.5124033999811207
the regulation term lambda/alpha is 1.3100430605968987
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240603253868505
the lambda is 0.5009007656999809
the regulation term lambda/alpha is 1.5457022241214664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36746903988892643
the lambda is 0.5403329136283165
the regulation term lambda/alpha is 1.4704175181442252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3074934384788972
the lambda is 0.4844346632669749
the regulation term lambda/alpha is 1.5754308959025831
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004586683181651
the lambda is 0.48919831354924986
the regulation term lambda/alpha is 1.6281717425147557
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3543174597882364
the lambda is 0.5191324526288392
the regulation term lambda/alpha is 1.4651619283427555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31351492845281714
the lambda is 0.502494181511144
the regulation term lambda/alpha is 1.6027759315670596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33190368722314073
the lambda is 0.5047613399872898
the regulation term lambda/alpha is 1.5208066659649246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087866623718888
the lambda is 0.5179405929636189
the regulation term lambda/alpha is 1.6773412069846285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30271359804687675
the lambda is 0.5358477588384858
the regulation term lambda/alpha is 1.770147632269585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30231671742079913
the lambda is 0.563244550566328
the regulation term lambda/alpha is 1.8630942918791342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3147091430933381
the lambda is 0.5394874622430615
the regulation term lambda/alpha is 1.7142414641669865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787390499294159
the lambda is 0.4847050830713567
the regulation term lambda/alpha is 1.7389206255603469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32565351747771554
the lambda is 0.5538913576518959
the regulation term lambda/alpha is 1.7008609700946917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2928079007087035
the lambda is 0.5316544674776124
the regulation term lambda/alpha is 1.81571079943817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30042923269308486
the lambda is 0.5018603354323845
the regulation term lambda/alpha is 1.670477705959724
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3348098144266252
the lambda is 0.5019623442166458
the regulation term lambda/alpha is 1.4992462066151666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35761036514439726
the lambda is 0.5098908586707763
the regulation term lambda/alpha is 1.425827963529219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31170573229870585
the lambda is 0.49011955169450844
the regulation term lambda/alpha is 1.572379012987896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32399630808166824
the lambda is 0.5052219798298765
the regulation term lambda/alpha is 1.559344866678319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30288898967131717
the lambda is 0.47277562750451096
the regulation term lambda/alpha is 1.5608874657924934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052879815322993
the lambda is 0.5387889367544142
the regulation term lambda/alpha is 1.764854725201197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31023072508371397
the lambda is 0.5435199337639282
the regulation term lambda/alpha is 1.7519861503636123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3386305734488504
the lambda is 0.5005798173970807
the regulation term lambda/alpha is 1.4782475554372603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35086922892283634
the lambda is 0.5116349732506352
the regulation term lambda/alpha is 1.4581927711966862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2943693998639405
the lambda is 0.4836626014382192
the regulation term lambda/alpha is 1.64304646359904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3316427480113058
the lambda is 0.494017817712759
the regulation term lambda/alpha is 1.4896083833436267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2894624348174916
the lambda is 0.5458016704167112
the regulation term lambda/alpha is 1.8855699557728227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3207915088035462
the lambda is 0.5053648998170169
the regulation term lambda/alpha is 1.575368692587509
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3478926762245799
the lambda is 0.5188183830010574
the regulation term lambda/alpha is 1.4913173471525958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2847844224990579
the lambda is 0.5147623175738967
the regulation term lambda/alpha is 1.8075508240820286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30125263321141643
the lambda is 0.5133270697755922
the regulation term lambda/alpha is 1.7039753787491172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31594162876345816
the lambda is 0.5102642215631965
the regulation term lambda/alpha is 1.6150585269826074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31470900758395864
the lambda is 0.5215224917652926
the regulation term lambda/alpha is 1.657157816260343
860
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875637401410407
the lambda is 0.4810317265201603
the regulation term lambda/alpha is 1.6727829672970238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26327053335278244
the lambda is 0.5020596702996647
the regulation term lambda/alpha is 1.9070104956520328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2906468089224911
the lambda is 0.49224928210080293
the regulation term lambda/alpha is 1.693633877921139
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32947192971494715
the lambda is 0.5495124557596419
the regulation term lambda/alpha is 1.6678581882076255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2872517853918296
the lambda is 0.5534031693760205
the regulation term lambda/alpha is 1.9265438807321722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3326413653799572
the lambda is 0.5205576119678904
the regulation term lambda/alpha is 1.5649214624082823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34832511213508477
the lambda is 0.5596745730708267
the regulation term lambda/alpha is 1.6067591843730693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3080369984490621
the lambda is 0.5399654410068845
the regulation term lambda/alpha is 1.7529239790205744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35850016061137313
the lambda is 0.5254400914606976
the regulation term lambda/alpha is 1.4656620810563408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26597337972998253
the lambda is 0.48809136802905706
the regulation term lambda/alpha is 1.8351136061983715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3080835935258238
the lambda is 0.4932680085022388
the regulation term lambda/alpha is 1.6010849615751859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3477516946893044
the lambda is 0.5906432458914137
the regulation term lambda/alpha is 1.6984625953271588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31666172014738975
the lambda is 0.5024980500759825
the regulation term lambda/alpha is 1.5868607353048403
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3549636603555929
the lambda is 0.5330767429420767
the regulation term lambda/alpha is 1.5017783578410675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3444284527069082
the lambda is 0.49197024868885647
the regulation term lambda/alpha is 1.4283670376892443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2746004801505878
the lambda is 0.4820751428927981
the regulation term lambda/alpha is 1.7555509831171219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28636910167191143
the lambda is 0.5286793251994314
the regulation term lambda/alpha is 1.8461465364553575
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34824693479930513
the lambda is 0.5571418194531897
the regulation term lambda/alpha is 1.5998470159522604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31046623691055786
the lambda is 0.4615088180947649
the regulation term lambda/alpha is 1.4865024380339331
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2998821761883818
the lambda is 0.5165015893804773
the regulation term lambda/alpha is 1.7223484101169726
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3595490546004756
the lambda is 0.533321829526531
the regulation term lambda/alpha is 1.4833075562363764
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31632399808210815
the lambda is 0.5340949579134396
the regulation term lambda/alpha is 1.6884427395698405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099038177173959
the lambda is 0.46282333376641366
the regulation term lambda/alpha is 1.4934418593980228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37388070463656037
the lambda is 0.544813402116845
the regulation term lambda/alpha is 1.457185127128836
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30420112031497637
the lambda is 0.5700212219871799
the regulation term lambda/alpha is 1.8738301206680885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3121480090323853
the lambda is 0.5009570529203036
the regulation term lambda/alpha is 1.6048702488066464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30264855778169936
the lambda is 0.5153925565497708
the regulation term lambda/alpha is 1.7029407320735486
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2877733948582981
the lambda is 0.4750788283867416
the regulation term lambda/alpha is 1.6508782148560819
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3008841354794965
the lambda is 0.5168330771994076
the regulation term lambda/alpha is 1.7177146158795296
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30711726989705057
the lambda is 0.5216879282300863
the regulation term lambda/alpha is 1.698660346925337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29922280864168066
the lambda is 0.5235929694746058
the regulation term lambda/alpha is 1.7498431080553367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2895406625098544
the lambda is 0.535371901120927
the regulation term lambda/alpha is 1.8490387377030537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3127034099216986
the lambda is 0.5421842560454054
the regulation term lambda/alpha is 1.7338610288297438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29714715819315013
the lambda is 0.5138415852555106
the regulation term lambda/alpha is 1.7292495354153978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.291020542128693
the lambda is 0.5074119919584619
the regulation term lambda/alpha is 1.7435607405819409
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177764815005349
the lambda is 0.5611938434831265
the regulation term lambda/alpha is 1.7660018162237154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172715793116254
the lambda is 0.4895660378109006
the regulation term lambda/alpha is 1.5430504014040503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33421725041271094
the lambda is 0.5755951633913092
the regulation term lambda/alpha is 1.7222185948826123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909008350472124
the lambda is 0.5164581510417307
the regulation term lambda/alpha is 1.775375278513418
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30001706572152165
the lambda is 0.537228043146336
the regulation term lambda/alpha is 1.7906582809025788
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31520023056395174
the lambda is 0.5384691199451894
the regulation term lambda/alpha is 1.7083398669530419
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.339415992834881
the lambda is 0.542066700561949
the regulation term lambda/alpha is 1.597057039164485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34521074604401
the lambda is 0.5026628303162599
the regulation term lambda/alpha is 1.4561042379954672
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2921253475791063
the lambda is 0.54285882664645
the regulation term lambda/alpha is 1.8583078501924457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419138636498923
the lambda is 0.5567787727644378
the regulation term lambda/alpha is 1.6284182420124371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29022936044728825
the lambda is 0.5020358658755306
the regulation term lambda/alpha is 1.7297900705215208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3369077800364249
the lambda is 0.5395659517904331
the regulation term lambda/alpha is 1.6015241670349605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29786602951707475
the lambda is 0.4697215713523057
the regulation term lambda/alpha is 1.5769558284771763
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3069798867414085
the lambda is 0.5330566511031114
the regulation term lambda/alpha is 1.7364546477670173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057748188098047
the lambda is 0.5585407389010393
the regulation term lambda/alpha is 1.8266407321410523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31634985185995573
the lambda is 0.544739252109583
the regulation term lambda/alpha is 1.7219519747103673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3292571071170676
the lambda is 0.5217066943835937
the regulation term lambda/alpha is 1.584496380204484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3603886732040085
the lambda is 0.5145002831827543
the regulation term lambda/alpha is 1.4276261199016829
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3096649268911123
the lambda is 0.5261818630956375
the regulation term lambda/alpha is 1.6991974789597637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29979091943947705
the lambda is 0.4806656362934889
the regulation term lambda/alpha is 1.6033362090893069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32830447315075095
the lambda is 0.5005583524722079
the regulation term lambda/alpha is 1.5246772231530374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34890544581053806
the lambda is 0.5324210273641911
the regulation term lambda/alpha is 1.5259751137656512
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3070362648505421
the lambda is 0.47015969053084944
the regulation term lambda/alpha is 1.5312839047195677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3071133137983742
the lambda is 0.5277321682568074
the regulation term lambda/alpha is 1.718363042389213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29739480464023094
the lambda is 0.49702092725568436
the regulation term lambda/alpha is 1.6712495292476552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31043737467903004
the lambda is 0.5210393337132087
the regulation term lambda/alpha is 1.6784040074167161
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3568563352620463
the lambda is 0.5340709789848826
the regulation term lambda/alpha is 1.496599404891339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3189846198162533
the lambda is 0.5482155246966884
the regulation term lambda/alpha is 1.7186268259970667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217390427658866
the lambda is 0.5396949428962572
the regulation term lambda/alpha is 1.677430684994504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298234407849217
the lambda is 0.5390328492267119
the regulation term lambda/alpha is 1.6343072764746758
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.313532736912688
the lambda is 0.5261567168777468
the regulation term lambda/alpha is 1.6781555956763452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29536715131574903
the lambda is 0.5158968179079101
the regulation term lambda/alpha is 1.7466289518309153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31720498574109923
the lambda is 0.5516330957207348
the regulation term lambda/alpha is 1.7390429549268636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30179767684055064
the lambda is 0.5119089413073178
the regulation term lambda/alpha is 1.696199078357305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36442139475202306
the lambda is 0.5552832157715443
the regulation term lambda/alpha is 1.5237393406866149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32561304698078797
the lambda is 0.5414884654746727
the regulation term lambda/alpha is 1.6629814760052348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.303934252457371
the lambda is 0.5577459680741191
the regulation term lambda/alpha is 1.835087567671719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095687952507176
the lambda is 0.49743481223155245
the regulation term lambda/alpha is 1.6068635465298866
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3538985964875186
the lambda is 0.518903462975847
the regulation term lambda/alpha is 1.4662489993631491
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30088185758013863
the lambda is 0.4949418996643651
the regulation term lambda/alpha is 1.6449708986941474
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32538472870419444
the lambda is 0.5237808225854583
the regulation term lambda/alpha is 1.6097277357525428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.304404836899162
the lambda is 0.49906300496067757
the regulation term lambda/alpha is 1.639471337066824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3416582553753073
the lambda is 0.5802029717024196
the regulation term lambda/alpha is 1.698196846041592
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30903064354431464
the lambda is 0.4680989860114694
the regulation term lambda/alpha is 1.5147332337103472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27713937927358706
the lambda is 0.49027152304689176
the regulation term lambda/alpha is 1.7690431591928495
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28970663290741044
the lambda is 0.48094115867822296
the regulation term lambda/alpha is 1.6600971605366406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3068670882501789
the lambda is 0.5190819194283031
the regulation term lambda/alpha is 1.6915529208043067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33459452264740114
the lambda is 0.5494441858981011
the regulation term lambda/alpha is 1.642119487045849
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34438524143850047
the lambda is 0.5057410187170596
the regulation term lambda/alpha is 1.4685327878876995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3571166247774947
the lambda is 0.510404030230446
the regulation term lambda/alpha is 1.4292362629391973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3633635610017286
the lambda is 0.4935093768581715
the regulation term lambda/alpha is 1.3581696951055138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34868575916438993
the lambda is 0.5560997744450005
the regulation term lambda/alpha is 1.5948451000054293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30307176401974684
the lambda is 0.4909750959852332
the regulation term lambda/alpha is 1.6199961668261627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2629900466393161
the lambda is 0.4910275015148927
the regulation term lambda/alpha is 1.8670953817059244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3177100655015186
the lambda is 0.5428345738365593
the regulation term lambda/alpha is 1.708584753144891
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38479818657296205
the lambda is 0.5006419492374102
the regulation term lambda/alpha is 1.3010506980195524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3513005133223554
the lambda is 0.5257303460609118
the regulation term lambda/alpha is 1.49652598309328
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28888884635503903
the lambda is 0.5327351874755704
the regulation term lambda/alpha is 1.8440836127707356
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28362639241906934
the lambda is 0.5513985307031208
the regulation term lambda/alpha is 1.9441016260870654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35473025097269084
the lambda is 0.4754071200940658
the regulation term lambda/alpha is 1.3401933406876692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3383925174253914
the lambda is 0.5436746216471003
the regulation term lambda/alpha is 1.6066390172677782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31703375582442267
the lambda is 0.5485087521240276
the regulation term lambda/alpha is 1.7301272878582643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3594228101234888
the lambda is 0.5423874495323231
the regulation term lambda/alpha is 1.509051274030082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142651488949621
the lambda is 0.4944163926281079
the regulation term lambda/alpha is 1.5732460133317498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29518331829430233
the lambda is 0.49944367804996537
the regulation term lambda/alpha is 1.6919779916289588
870
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30997372926981304
the lambda is 0.5521143023174475
the regulation term lambda/alpha is 1.7811648219932408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30276636014572034
the lambda is 0.49092512832852314
the regulation term lambda/alpha is 1.6214652383846166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34064612037465747
the lambda is 0.5225614676994538
the regulation term lambda/alpha is 1.5340302925649583
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29168265606921606
the lambda is 0.5306701471311059
the regulation term lambda/alpha is 1.8193407667172996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32313319526365963
the lambda is 0.5082870895162624
the regulation term lambda/alpha is 1.5729955849987094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3310610752421937
the lambda is 0.500478003573876
the regulation term lambda/alpha is 1.511739195578164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3078163966855454
the lambda is 0.48933735117432264
the regulation term lambda/alpha is 1.5897052803012726
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.314526581750583
the lambda is 0.5257480891498861
the regulation term lambda/alpha is 1.6715537561998497
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3249738466891781
the lambda is 0.5278070171587347
the regulation term lambda/alpha is 1.6241522895950355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2960208036107058
the lambda is 0.5084730931152378
the regulation term lambda/alpha is 1.7176937800085361
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33224512491318936
the lambda is 0.4807266335800011
the regulation term lambda/alpha is 1.446903498450452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3154314305666968
the lambda is 0.48295325861971466
the regulation term lambda/alpha is 1.5310879380410887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.363403698609027
the lambda is 0.5229354858791447
the regulation term lambda/alpha is 1.4389932955573803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30375378865173847
the lambda is 0.47679119133743236
the regulation term lambda/alpha is 1.5696633561469278
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29639518391700154
the lambda is 0.45669053560115225
the regulation term lambda/alpha is 1.5408163168030342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33344264706758636
the lambda is 0.49849604403267816
the regulation term lambda/alpha is 1.4949978607014738
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33371555775533207
the lambda is 0.5094025210472481
the regulation term lambda/alpha is 1.5264572154610883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3216661471535677
the lambda is 0.5294927562144083
the regulation term lambda/alpha is 1.646094128648301
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123097724739579
the lambda is 0.5355195242799394
the regulation term lambda/alpha is 1.7147062675555371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3513894684757616
the lambda is 0.5220776177591884
the regulation term lambda/alpha is 1.4857520346976496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29903642090583515
the lambda is 0.508678049214691
the regulation term lambda/alpha is 1.701057174486685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.329758510145711
the lambda is 0.5002354601535761
the regulation term lambda/alpha is 1.5169751341141617
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33631782241545577
the lambda is 0.5108460814703251
the regulation term lambda/alpha is 1.5189384784945275
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.352723454750633
the lambda is 0.5222832197694534
the regulation term lambda/alpha is 1.4807158773682771
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.357767868155969
the lambda is 0.545504598735262
the regulation term lambda/alpha is 1.5247445265192154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3427064827693535
the lambda is 0.482765473322909
the regulation term lambda/alpha is 1.408684975614591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34499180931462464
the lambda is 0.5108343756110381
the regulation term lambda/alpha is 1.4807145034135254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3187484074834007
the lambda is 0.5439141052149883
the regulation term lambda/alpha is 1.706405718257003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023679303627296
the lambda is 0.4607804281132799
the regulation term lambda/alpha is 1.5239064128279542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30021002461800694
the lambda is 0.5157248461224192
the regulation term lambda/alpha is 1.717880163324451
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3079246413449766
the lambda is 0.536543022080046
the regulation term lambda/alpha is 1.7424491256577996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32782724085046294
the lambda is 0.5410918313618746
the regulation term lambda/alpha is 1.650539564552817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3538513796697338
the lambda is 0.5288340942013359
the regulation term lambda/alpha is 1.4945090639322127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29158420408136276
the lambda is 0.49958571699194704
the regulation term lambda/alpha is 1.7133497288232533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2983120107842556
the lambda is 0.5010224042145999
the regulation term lambda/alpha is 1.6795247462461305
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3118072446738175
the lambda is 0.4948419530502326
the regulation term lambda/alpha is 1.5870123658219946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3362660596360302
the lambda is 0.4936874347347708
the regulation term lambda/alpha is 1.4681452991988884
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31168891596554205
the lambda is 0.48663458470111604
the regulation term lambda/alpha is 1.5612829323546258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3153723718105736
the lambda is 0.46940457351207515
the regulation term lambda/alpha is 1.488413746636056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2972272752723339
the lambda is 0.5120334818517704
the regulation term lambda/alpha is 1.7227001841692382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3233323264191058
the lambda is 0.5293241667568457
the regulation term lambda/alpha is 1.637090149998586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.304179100396128
the lambda is 0.49903819690588946
the regulation term lambda/alpha is 1.6406064593392489
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29825283541554604
the lambda is 0.5485829330671005
the regulation term lambda/alpha is 1.8393217697420299
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2972660075848489
the lambda is 0.5572979102337177
the regulation term lambda/alpha is 1.8747448279119086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3831505628705649
the lambda is 0.5648251412676916
the regulation term lambda/alpha is 1.4741597585972999
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31374223606120977
the lambda is 0.48404086455477296
the regulation term lambda/alpha is 1.5427979051578464
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36835371924978755
the lambda is 0.5379117155767333
the regulation term lambda/alpha is 1.4603129749097643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3118092889492166
the lambda is 0.5881928443962459
the regulation term lambda/alpha is 1.8863865357521243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34456455352629894
the lambda is 0.5046785003017129
the regulation term lambda/alpha is 1.4646849048655646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28918696650330006
the lambda is 0.5222458472793152
the regulation term lambda/alpha is 1.8059107351691648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35562579389841525
the lambda is 0.5913111884990752
the regulation term lambda/alpha is 1.662734252251634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2600743149554674
the lambda is 0.5079029819867604
the regulation term lambda/alpha is 1.9529148123440363
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30994640817659985
the lambda is 0.49915759507336527
the regulation term lambda/alpha is 1.6104642025370965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3536341787082852
the lambda is 0.5394607395265492
the regulation term lambda/alpha is 1.5254768119332531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3260349205819838
the lambda is 0.5534170810365995
the regulation term lambda/alpha is 1.6974165836246329
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31010538559644873
the lambda is 0.5328869803630004
the regulation term lambda/alpha is 1.7184060810103614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3586976637710389
the lambda is 0.5390023268773178
the regulation term lambda/alpha is 1.5026647266411233
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3070797027611009
the lambda is 0.5149966289878025
the regulation term lambda/alpha is 1.6770780496308313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2933106683591645
the lambda is 0.4997390733498838
the regulation term lambda/alpha is 1.703787578356829
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159091693532263
the lambda is 0.5149467164961045
the regulation term lambda/alpha is 1.630046755370779
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30273421291096475
the lambda is 0.5069115136917446
the regulation term lambda/alpha is 1.6744440901393234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31697524831585444
the lambda is 0.5319486964926174
the regulation term lambda/alpha is 1.678202633546168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2990622283230651
the lambda is 0.5161760323813553
the regulation term lambda/alpha is 1.7259820314846004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388024629079962
the lambda is 0.5241072136766713
the regulation term lambda/alpha is 1.546940388739133
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3342234613743133
the lambda is 0.5091190014466113
the regulation term lambda/alpha is 1.5232892369468456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2735386805748442
the lambda is 0.4961232881904962
the regulation term lambda/alpha is 1.8137226045979613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246284551286765
the lambda is 0.5904255054440303
the regulation term lambda/alpha is 1.8187731115868968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35281131998211374
the lambda is 0.4582842951728073
the regulation term lambda/alpha is 1.2989500880981955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32513095953588117
the lambda is 0.49589663182287974
the regulation term lambda/alpha is 1.5252211986541166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2903238087058469
the lambda is 0.46443676878898676
the regulation term lambda/alpha is 1.5997198812569635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3454126613323823
the lambda is 0.5312240602920253
the regulation term lambda/alpha is 1.5379403240254739
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300549695567498
the lambda is 0.5595470304198474
the regulation term lambda/alpha is 1.6953146658306524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33705072170127137
the lambda is 0.5556733319481828
the regulation term lambda/alpha is 1.648634155546111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36875318790201067
the lambda is 0.5908271290497925
the regulation term lambda/alpha is 1.6022292103052784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2994226014182072
the lambda is 0.5726099774921313
the regulation term lambda/alpha is 1.9123806111495234
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37491582004976015
the lambda is 0.5164328298855352
the regulation term lambda/alpha is 1.3774634258351446
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32141076282129394
the lambda is 0.4708817331051374
the regulation term lambda/alpha is 1.4650465621369069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3411312017945285
the lambda is 0.5052810803349416
the regulation term lambda/alpha is 1.481192801118452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29759448709140657
the lambda is 0.4777055729285466
the regulation term lambda/alpha is 1.6052231934720573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31943783354493954
the lambda is 0.5203278474826548
the regulation term lambda/alpha is 1.6288861019008052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33267375616786443
the lambda is 0.5071469107702989
the regulation term lambda/alpha is 1.5244572238346232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32501779651820817
the lambda is 0.5399605725648758
the regulation term lambda/alpha is 1.6613261745949537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3170339203168995
the lambda is 0.4988838994878856
the regulation term lambda/alpha is 1.5735978629328156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33274926762836504
the lambda is 0.4688722943138279
the regulation term lambda/alpha is 1.4090858791535898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34080718307363544
the lambda is 0.5488313411344372
the regulation term lambda/alpha is 1.610386659649294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057729749871702
the lambda is 0.5173572071643608
the regulation term lambda/alpha is 1.6919651162306557
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2905298543842702
the lambda is 0.4842765397124811
the regulation term lambda/alpha is 1.6668735842615032
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3584231235029525
the lambda is 0.4930693966748798
the regulation term lambda/alpha is 1.3756629088435979
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30530011170151844
the lambda is 0.4778461949836592
the regulation term lambda/alpha is 1.565168752544818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3498860889188935
the lambda is 0.5240893565461161
the regulation term lambda/alpha is 1.4978856637755735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29032253754533893
the lambda is 0.5254246408902471
the regulation term lambda/alpha is 1.8097962539618297
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3448945520482556
the lambda is 0.4980963680386543
the regulation term lambda/alpha is 1.4441990025083482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3099733233357635
the lambda is 0.5086008033257986
the regulation term lambda/alpha is 1.640788948715053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2975673651707037
the lambda is 0.5212079354884679
the regulation term lambda/alpha is 1.7515628274272268
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3031240208202535
the lambda is 0.48585157135736584
the regulation term lambda/alpha is 1.6028144851161963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3102063915997974
the lambda is 0.5285249653589053
the regulation term lambda/alpha is 1.7037848982839927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206754322386639
the lambda is 0.5226122775200114
the regulation term lambda/alpha is 1.6297234679676216
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37037584859588607
the lambda is 0.5060418739109253
the regulation term lambda/alpha is 1.3662928504365393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3321596819040989
the lambda is 0.5819297987939134
the regulation term lambda/alpha is 1.7519579602738422
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.354269751816991
the lambda is 0.50105729037039
the regulation term lambda/alpha is 1.4143383334325046
880
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066783357072644
the lambda is 0.548696021334251
the regulation term lambda/alpha is 1.7891580768783135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33982582424556496
the lambda is 0.4857577057448121
the regulation term lambda/alpha is 1.4294314059951896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3078846199288566
the lambda is 0.4719234405614198
the regulation term lambda/alpha is 1.532793163459961
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34474616045024553
the lambda is 0.5100651932791666
the regulation term lambda/alpha is 1.4795384308646424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31056820656402134
the lambda is 0.5198171125019156
the regulation term lambda/alpha is 1.6737615168433515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3019934201608111
the lambda is 0.5360333388313597
the regulation term lambda/alpha is 1.7749835031038845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34102949513019337
the lambda is 0.48849073404610904
the regulation term lambda/alpha is 1.4324002498951593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33499007387337637
the lambda is 0.5124802790866607
the regulation term lambda/alpha is 1.5298372072969966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3217581576998507
the lambda is 0.5375895476384316
the regulation term lambda/alpha is 1.6707876234793626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089166493727458
the lambda is 0.5021399261914101
the regulation term lambda/alpha is 1.6254867687157797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34612550086512905
the lambda is 0.5129130101832898
the regulation term lambda/alpha is 1.4818700410726195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30124208831811805
the lambda is 0.45218147521080804
the regulation term lambda/alpha is 1.5010567671184605
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3544320990345947
the lambda is 0.5125047594761435
the regulation term lambda/alpha is 1.4459885571089879
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28856241438221547
the lambda is 0.5279522895003059
the regulation term lambda/alpha is 1.829594788464053
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057438500075066
the lambda is 0.5095766616403289
the regulation term lambda/alpha is 1.6666783702364505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2671094854456412
the lambda is 0.46594060931989795
the regulation term lambda/alpha is 1.7443806180919783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2953537505521656
the lambda is 0.5037768200094337
the regulation term lambda/alpha is 1.705672669020183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3137261173616465
the lambda is 0.48796570888197016
the regulation term lambda/alpha is 1.555387587701121
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3739858581883882
the lambda is 0.4953863582272861
the regulation term lambda/alpha is 1.324612541840405
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28730059787138107
the lambda is 0.4508851035943105
the regulation term lambda/alpha is 1.5693844946196842
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30411157734126504
the lambda is 0.5283012429074551
the regulation term lambda/alpha is 1.7371954317760516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30171015208440793
the lambda is 0.49499512971384435
the regulation term lambda/alpha is 1.640631335386295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2847262560747687
the lambda is 0.4441352374041647
the regulation term lambda/alpha is 1.5598675145980758
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33911518679808267
the lambda is 0.5201925919558064
the regulation term lambda/alpha is 1.5339702030671412
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298324123628368
the lambda is 0.5232013537831292
the regulation term lambda/alpha is 1.5862642183496938
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30150869932575114
the lambda is 0.5261366918847517
the regulation term lambda/alpha is 1.7450133049604368
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3454083281593392
the lambda is 0.5184836050265095
the regulation term lambda/alpha is 1.5010744176015625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3613536835015532
the lambda is 0.52989672596934
the regulation term lambda/alpha is 1.4664212658207547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3326685850030597
the lambda is 0.49591183089347124
the regulation term lambda/alpha is 1.4907083303008914
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3494159406230216
the lambda is 0.470769641666658
the regulation term lambda/alpha is 1.347304421278715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2861971911554563
the lambda is 0.5282225800628938
the regulation term lambda/alpha is 1.845659553576731
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2951897069775681
the lambda is 0.4886254767998251
the regulation term lambda/alpha is 1.6552930717091585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27318379895282674
the lambda is 0.5029529185447883
the regulation term lambda/alpha is 1.8410788651183447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3236264010268593
the lambda is 0.5219166555357387
the regulation term lambda/alpha is 1.612713467998003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3055692894672559
the lambda is 0.5343697567378264
the regulation term lambda/alpha is 1.7487678741193924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3101625457051346
the lambda is 0.5016925017873584
the regulation term lambda/alpha is 1.6175147796997629
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2953218809761656
the lambda is 0.5447702443017443
the regulation term lambda/alpha is 1.8446660386323044
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31166562043055823
the lambda is 0.5350945811556649
the regulation term lambda/alpha is 1.7168867724853487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31517446026181345
the lambda is 0.5094912750600326
the regulation term lambda/alpha is 1.6165373128165312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3498831316808489
the lambda is 0.5109189290552959
the regulation term lambda/alpha is 1.460255962043172
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35295503577193116
the lambda is 0.5609048654935521
the regulation term lambda/alpha is 1.58916804874826
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224234865961576
the lambda is 0.5241599003551397
the regulation term lambda/alpha is 1.6256877124204705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28694120786417043
the lambda is 0.48649425554057923
the regulation term lambda/alpha is 1.6954492495580187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.313084940775103
the lambda is 0.5467171047550864
the regulation term lambda/alpha is 1.746226130843538
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37167604530752024
the lambda is 0.5362084630542243
the regulation term lambda/alpha is 1.442676948982741
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3546661583656668
the lambda is 0.5209046445328741
the regulation term lambda/alpha is 1.468718207943067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3425306305778716
the lambda is 0.5504097888930323
the regulation term lambda/alpha is 1.6068921718459308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28882902017811635
the lambda is 0.5329900148217793
the regulation term lambda/alpha is 1.8453478618356725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3112664205114913
the lambda is 0.5243711861878473
the regulation term lambda/alpha is 1.6846378267407378
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3228188229219833
the lambda is 0.501400280578185
the regulation term lambda/alpha is 1.5531940673092661
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3047926700724253
the lambda is 0.45663648006438523
the regulation term lambda/alpha is 1.4981872101972749
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3055651365163899
the lambda is 0.48839615418802396
the regulation term lambda/alpha is 1.5983372964468654
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3185485342360689
the lambda is 0.5130622393339856
the regulation term lambda/alpha is 1.6106250200283991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34327361002536316
the lambda is 0.4949881668601479
the regulation term lambda/alpha is 1.4419639389802645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29324537707131704
the lambda is 0.46445206153330154
the regulation term lambda/alpha is 1.5838342147857531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2714401925617065
the lambda is 0.446760836596471
the regulation term lambda/alpha is 1.645890508624322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33320762020645234
the lambda is 0.6014975855331207
the regulation term lambda/alpha is 1.8051735586372197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33145839397426813
the lambda is 0.4871007242084888
the regulation term lambda/alpha is 1.4695682265518475
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3303233792692739
the lambda is 0.4982463134718748
the regulation term lambda/alpha is 1.5083592162748887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32364866721519203
the lambda is 0.4742827095909212
the regulation term lambda/alpha is 1.465424571872479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3357143353032837
the lambda is 0.5332173805481824
the regulation term lambda/alpha is 1.588306856382748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.274268684438135
the lambda is 0.48695469131692337
the regulation term lambda/alpha is 1.7754658805269565
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32116654668683625
the lambda is 0.5467106307124386
the regulation term lambda/alpha is 1.702265184068272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29205955699059394
the lambda is 0.5058246785437129
the regulation term lambda/alpha is 1.731923049379971
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29548168625004867
the lambda is 0.4820203602565373
the regulation term lambda/alpha is 1.6313036735841284
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28933538208137705
the lambda is 0.4960354861470924
the regulation term lambda/alpha is 1.7143962227460308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2870165573404347
the lambda is 0.5379685792201476
the regulation term lambda/alpha is 1.874346846764157
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29158332974051887
the lambda is 0.474552770241033
the regulation term lambda/alpha is 1.6275030903287213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3513864594703879
the lambda is 0.5331747798998403
the regulation term lambda/alpha is 1.5173458325726183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3732797611285682
the lambda is 0.5243985127291522
the regulation term lambda/alpha is 1.4048404637414413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3298392208843431
the lambda is 0.4929908684616945
the regulation term lambda/alpha is 1.494639925294269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3145870471976836
the lambda is 0.49379875939106926
the regulation term lambda/alpha is 1.5696728895540657
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3272353153865815
the lambda is 0.5525504125602145
the regulation term lambda/alpha is 1.6885415069197394
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4041903686225139
the lambda is 0.5675095202235552
the regulation term lambda/alpha is 1.4040649265286431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30560673004216293
the lambda is 0.5192131233502023
the regulation term lambda/alpha is 1.698958407357617
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211723440328145
the lambda is 0.503049620635184
the regulation term lambda/alpha is 1.566291836708664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2852423623137459
the lambda is 0.4838636614632664
the regulation term lambda/alpha is 1.6963246887257635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3302080344276217
the lambda is 0.5704633793731747
the regulation term lambda/alpha is 1.7275878231188666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32176696746467176
the lambda is 0.49113290873667853
the regulation term lambda/alpha is 1.5263621141924775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.324766506014852
the lambda is 0.5126048159347467
the regulation term lambda/alpha is 1.5783795632894009
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2718467611369487
the lambda is 0.4864283595833422
the regulation term lambda/alpha is 1.7893476366940908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29103905267289865
the lambda is 0.5194194239428639
the regulation term lambda/alpha is 1.7847069634556705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30386867191999284
the lambda is 0.49372062763809954
the regulation term lambda/alpha is 1.6247829186158875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33580393812440273
the lambda is 0.49218861676011394
the regulation term lambda/alpha is 1.465702336634827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3446395609103637
the lambda is 0.5277203679565057
the regulation term lambda/alpha is 1.5312240027306643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3400626586180079
the lambda is 0.5323082873075482
the regulation term lambda/alpha is 1.565324136060142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29866740302203043
the lambda is 0.4914952716081537
the regulation term lambda/alpha is 1.6456274325052467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161680978046122
the lambda is 0.5332171614014658
the regulation term lambda/alpha is 1.6864989387100882
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3844309845847115
the lambda is 0.5052032237831003
the regulation term lambda/alpha is 1.3141584420643286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3266878068681112
the lambda is 0.5280848838366862
the regulation term lambda/alpha is 1.6164817686320383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27904492581067425
the lambda is 0.48286431000682356
the regulation term lambda/alpha is 1.730417812128346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31695199101451743
the lambda is 0.49660343618037167
the regulation term lambda/alpha is 1.5668096439174146
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.336680579166475
the lambda is 0.4547698143611054
the regulation term lambda/alpha is 1.3507456102368176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33198541193595266
the lambda is 0.519343927974984
the regulation term lambda/alpha is 1.5643576774848678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3197090249762905
the lambda is 0.530304665291759
the regulation term lambda/alpha is 1.658710339287689
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3269460179404728
the lambda is 0.5591686467230964
the regulation term lambda/alpha is 1.7102781989683218
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3689104382933143
the lambda is 0.5456182554008121
the regulation term lambda/alpha is 1.478999233323402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3152394982369995
the lambda is 0.5544473000582203
the regulation term lambda/alpha is 1.7588129125918812
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33715613035558223
the lambda is 0.5118998354646794
the regulation term lambda/alpha is 1.5182871950891224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31074570103052923
the lambda is 0.5046763904266736
the regulation term lambda/alpha is 1.6240816486053065
890
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32555925859992463
the lambda is 0.5356913578300442
the regulation term lambda/alpha is 1.645449618400649
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3419072420571905
the lambda is 0.4985766630691287
the regulation term lambda/alpha is 1.4582220021702035
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31629477044464593
the lambda is 0.5435423348683529
the regulation term lambda/alpha is 1.7184676626307898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3021607746584038
the lambda is 0.5175167597041052
the regulation term lambda/alpha is 1.7127198601114382
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3163568522634737
the lambda is 0.5449773552998926
the regulation term lambda/alpha is 1.722666512201908
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27838120040219655
the lambda is 0.5028381031736036
the regulation term lambda/alpha is 1.8062933217010295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31600525993552975
the lambda is 0.5019071978428665
the regulation term lambda/alpha is 1.5882874795984845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2833053967280941
the lambda is 0.5095624881771195
the regulation term lambda/alpha is 1.798633185467266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3535805005327822
the lambda is 0.5012384893153327
the regulation term lambda/alpha is 1.4176078391202467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3291123082716732
the lambda is 0.5505957505156664
the regulation term lambda/alpha is 1.6729722246096148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3372904854112346
the lambda is 0.541425593562329
the regulation term lambda/alpha is 1.6052204760599957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30554609578111946
the lambda is 0.5652774821263372
the regulation term lambda/alpha is 1.8500563087910589
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32381705079412393
the lambda is 0.5242397353226501
the regulation term lambda/alpha is 1.6189380208269228
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34267112402762545
the lambda is 0.5236909444098043
the regulation term lambda/alpha is 1.5282610867660547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30598579135380755
the lambda is 0.4868118016784737
the regulation term lambda/alpha is 1.590962114693683
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.304905207626749
the lambda is 0.5328622091849547
the regulation term lambda/alpha is 1.7476323652604198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31917119481590284
the lambda is 0.4854992993048732
the regulation term lambda/alpha is 1.52112504884693
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36421482743840383
the lambda is 0.5155931034706226
the regulation term lambda/alpha is 1.4156290865390975
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2916333399774716
the lambda is 0.4903171027688502
the regulation term lambda/alpha is 1.6812793174015246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3216212505250207
the lambda is 0.5177570478437064
the regulation term lambda/alpha is 1.609834695308565
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.314418559843152
the lambda is 0.5271974522498175
the regulation term lambda/alpha is 1.6767376980316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3119594471070937
the lambda is 0.5162492155964379
the regulation term lambda/alpha is 1.6548600158892215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3306750615749845
the lambda is 0.4899018881274905
the regulation term lambda/alpha is 1.4815205168303853
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178482327530971
the lambda is 0.5309573413881195
the regulation term lambda/alpha is 1.670474417268711
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.285709041473047
the lambda is 0.5029966646735929
the regulation term lambda/alpha is 1.76052064043988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3226439808302238
the lambda is 0.5353597378879501
the regulation term lambda/alpha is 1.6592894016196074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453340866711015
the lambda is 0.5029416752737781
the regulation term lambda/alpha is 1.456391635479596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2907814445623181
the lambda is 0.5115009802282658
the regulation term lambda/alpha is 1.7590564659246846
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3068090038106149
the lambda is 0.48718587194399493
the regulation term lambda/alpha is 1.5879125641460052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3414216290762433
the lambda is 0.5016538541072352
the regulation term lambda/alpha is 1.4693089464323603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3388482155517543
the lambda is 0.5340331070111494
the regulation term lambda/alpha is 1.576024551705462
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3292712924570087
the lambda is 0.5430373915517955
the regulation term lambda/alpha is 1.649209645638018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29697631539775743
the lambda is 0.4601429479344445
the regulation term lambda/alpha is 1.549426415767024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3393314290235739
the lambda is 0.4918165880505895
the regulation term lambda/alpha is 1.4493693951833215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3111314889104068
the lambda is 0.4814166644645002
the regulation term lambda/alpha is 1.5473093583373316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973842558846457
the lambda is 0.5046526432210513
the regulation term lambda/alpha is 1.6969716225219547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3233991038994098
the lambda is 0.4953463191613353
the regulation term lambda/alpha is 1.5316873584022301
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30239264879428546
the lambda is 0.5069971795109963
the regulation term lambda/alpha is 1.676618732408079
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32925809418628377
the lambda is 0.48424764366612155
the regulation term lambda/alpha is 1.4707235819452615
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36887353996346156
the lambda is 0.547522717096099
the regulation term lambda/alpha is 1.4843100894423964
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3472543615969055
the lambda is 0.516091411291934
the regulation term lambda/alpha is 1.486205699241916
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3076464464697053
the lambda is 0.5022978598014978
the regulation term lambda/alpha is 1.632711398312739
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3585826244328783
the lambda is 0.5086662962881668
the regulation term lambda/alpha is 1.41854697252176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3334318063637677
the lambda is 0.5061302073485893
the regulation term lambda/alpha is 1.5179421929424781
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30319651380417434
the lambda is 0.4803176686506578
the regulation term lambda/alpha is 1.584179391194718
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2886454849154982
the lambda is 0.5174710139513898
the regulation term lambda/alpha is 1.7927563083236207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28011357637103407
the lambda is 0.4612601156722876
the regulation term lambda/alpha is 1.6466896094365295
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31032187320937354
the lambda is 0.5002824051098161
the regulation term lambda/alpha is 1.6121403236447873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3653426975775236
the lambda is 0.5052751232572126
the regulation term lambda/alpha is 1.3830168951166628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3180196843559663
the lambda is 0.5534685739548092
the regulation term lambda/alpha is 1.7403594845886958
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33275728539105975
the lambda is 0.5125691336808779
the regulation term lambda/alpha is 1.5403693808792238
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3304869094544834
the lambda is 0.5444839551845347
the regulation term lambda/alpha is 1.6475204905491856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2956452675678794
the lambda is 0.4615621569654816
the regulation term lambda/alpha is 1.5612025883671825
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29362776498131893
the lambda is 0.49104975549634017
the regulation term lambda/alpha is 1.6723546410114913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28993316406961644
the lambda is 0.5390365590109746
the regulation term lambda/alpha is 1.8591752369575265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28796919122756753
the lambda is 0.5622286543838045
the regulation term lambda/alpha is 1.9523916846351232
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3343802793490245
the lambda is 0.4578005779195501
the regulation term lambda/alpha is 1.3691016073400073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2845534903263076
the lambda is 0.4895194884613624
the regulation term lambda/alpha is 1.720307446940865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3120879226029701
the lambda is 0.4817009673129597
the regulation term lambda/alpha is 1.543478399597561
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3242969089941853
the lambda is 0.5398144059261287
the regulation term lambda/alpha is 1.664568458578209
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32760839016317267
the lambda is 0.5275919744866825
the regulation term lambda/alpha is 1.6104348677514135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341622779371168
the lambda is 0.5494965430411142
the regulation term lambda/alpha is 1.6444002789103542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33988497203707607
the lambda is 0.515129002351003
the regulation term lambda/alpha is 1.5155980544347532
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3253436715018132
the lambda is 0.5173779278135255
the regulation term lambda/alpha is 1.5902504739842223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2899230061298656
the lambda is 0.4992883774768841
the regulation term lambda/alpha is 1.7221412820658917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3111192701641449
the lambda is 0.5143169450461083
the regulation term lambda/alpha is 1.653118255178335
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32932254926605997
the lambda is 0.48857502731377217
the regulation term lambda/alpha is 1.4835759907805524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32722220523705914
the lambda is 0.5413260309762541
the regulation term lambda/alpha is 1.654307141485357
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3294261052083628
the lambda is 0.5084501599766605
the regulation term lambda/alpha is 1.5434422225131934
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32753471444820725
the lambda is 0.5690591321012789
the regulation term lambda/alpha is 1.7374009746110857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30285237146872246
the lambda is 0.5065497180281895
the regulation term lambda/alpha is 1.6725961747355977
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30458938179830464
the lambda is 0.5314379340529305
the regulation term lambda/alpha is 1.7447684187653074
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156982849802188
the lambda is 0.5096091485139222
the regulation term lambda/alpha is 1.6142284350573954
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3103362895138996
the lambda is 0.48985288398204835
the regulation term lambda/alpha is 1.578458274246101
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30801228232950534
the lambda is 0.4909305256452301
the regulation term lambda/alpha is 1.5938667183409345
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2943849647057213
the lambda is 0.529991034320162
the regulation term lambda/alpha is 1.8003332298236148
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2903644263706496
the lambda is 0.5110006872801599
the regulation term lambda/alpha is 1.7598598205272866
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31651159442740356
the lambda is 0.5322807961287984
the regulation term lambda/alpha is 1.681710261173022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.278997329907113
the lambda is 0.4530250517560034
the regulation term lambda/alpha is 1.6237612449797627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35147447527131376
the lambda is 0.4955168520370325
the regulation term lambda/alpha is 1.4098231504706795
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3269190030929285
the lambda is 0.4876800077122853
the regulation term lambda/alpha is 1.4917456712470754
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31893304160256714
the lambda is 0.5558832191972992
the regulation term lambda/alpha is 1.7429464705322173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105833828232268
the lambda is 0.531948026261428
the regulation term lambda/alpha is 1.712738207131301
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3402641183812057
the lambda is 0.5273810979939452
the regulation term lambda/alpha is 1.5499168719374286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3206207759985487
the lambda is 0.563340049352433
the regulation term lambda/alpha is 1.7570291494615524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29552470942246295
the lambda is 0.5249475919732545
the regulation term lambda/alpha is 1.7763238579919334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3161118131923388
the lambda is 0.4972311476737989
the regulation term lambda/alpha is 1.5729597152740944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36252616119540587
the lambda is 0.5339499316465299
the regulation term lambda/alpha is 1.4728590341890515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3358318649415878
the lambda is 0.5286368653542413
the regulation term lambda/alpha is 1.5741116926060266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3324901710022544
the lambda is 0.5248587472855645
the regulation term lambda/alpha is 1.5785692121467425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300623842741681
the lambda is 0.4708275391059718
the regulation term lambda/alpha is 1.4264804519950276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3142964627312408
the lambda is 0.5137198883264904
the regulation term lambda/alpha is 1.634507381541164
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875653702574529
the lambda is 0.4771399113166468
the regulation term lambda/alpha is 1.6592398135056066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980909987450232
the lambda is 0.4748864147233348
the regulation term lambda/alpha is 1.5930920984619745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27059307818165296
the lambda is 0.4840343191998111
the regulation term lambda/alpha is 1.7887904688931917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3160775378616512
the lambda is 0.5590628113357056
the regulation term lambda/alpha is 1.7687521078464306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.309881458301422
the lambda is 0.518577605894678
the regulation term lambda/alpha is 1.6734709096091096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3396557496884109
the lambda is 0.5515703834302551
the regulation term lambda/alpha is 1.6239100440261878
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31218784790260123
the lambda is 0.5056676005978703
the regulation term lambda/alpha is 1.6197542729325978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33769304478364115
the lambda is 0.5319937941559842
the regulation term lambda/alpha is 1.5753768174195917
900
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36038788111505743
the lambda is 0.5635077972017188
the regulation term lambda/alpha is 1.5636147238308864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3381744338251887
the lambda is 0.5682099154167068
the regulation term lambda/alpha is 1.6802272986444315
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.317450802574144
the lambda is 0.5252439468876623
the regulation term lambda/alpha is 1.6545680232293192
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3391681215663218
the lambda is 0.509729397039771
the regulation term lambda/alpha is 1.5028812103147413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3190356262603163
the lambda is 0.5131632547109775
the regulation term lambda/alpha is 1.6084826034201687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29985128697966695
the lambda is 0.5278752804715168
the regulation term lambda/alpha is 1.7604569444696505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308267173901618
the lambda is 0.5125464768005722
the regulation term lambda/alpha is 1.6626696586388694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30467051574724696
the lambda is 0.500817789201906
the regulation term lambda/alpha is 1.6438012978498444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31929376756913824
the lambda is 0.4513384191815341
the regulation term lambda/alpha is 1.4135522362922528
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30534442902775694
the lambda is 0.4826986602671805
the regulation term lambda/alpha is 1.5808333618665806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3676816914347977
the lambda is 0.5143489684782229
the regulation term lambda/alpha is 1.3988974171411366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.306857369307389
the lambda is 0.48576566634626744
the regulation term lambda/alpha is 1.5830340572973505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3412512976820704
the lambda is 0.5536322455378113
the regulation term lambda/alpha is 1.6223593852926748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.322861507223721
the lambda is 0.5117338996878857
the regulation term lambda/alpha is 1.5849950775745127
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980418898509069
the lambda is 0.5254296184138941
the regulation term lambda/alpha is 1.7629388227162837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30033202548366467
the lambda is 0.4784266414604573
the regulation term lambda/alpha is 1.5929924246006837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34795607525926137
the lambda is 0.5817871263970535
the regulation term lambda/alpha is 1.6720131297134706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351694183832288
the lambda is 0.5044113194218515
the regulation term lambda/alpha is 1.5049443408500756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3262155387016709
the lambda is 0.5239683641634922
the regulation term lambda/alpha is 1.6062029609284472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35071211690293974
the lambda is 0.5099579215557626
the regulation term lambda/alpha is 1.4540641653875177
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268565517797142
the lambda is 0.5126530967502921
the regulation term lambda/alpha is 1.5684345134247026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3763587896873626
the lambda is 0.5429727861116429
the regulation term lambda/alpha is 1.44269989432872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039913839307693
the lambda is 0.5411240575241355
the regulation term lambda/alpha is 1.7800637982797913
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30199082914095415
the lambda is 0.5036114341295966
the regulation term lambda/alpha is 1.6676381715371102
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29735923995430913
the lambda is 0.5286600349529617
the regulation term lambda/alpha is 1.7778496980090248
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31911801872633877
the lambda is 0.5171212940139187
the regulation term lambda/alpha is 1.6204703704223566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885306576295757
the lambda is 0.4437827447540539
the regulation term lambda/alpha is 1.5380783047456796
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.344158879327462
the lambda is 0.5300028663112246
the regulation term lambda/alpha is 1.5399947470393025
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33971072071927716
the lambda is 0.5132057163602471
the regulation term lambda/alpha is 1.5107139252880366
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.305941044171919
the lambda is 0.5217320072347484
the regulation term lambda/alpha is 1.7053351198656725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36824417789727987
the lambda is 0.519438702329555
the regulation term lambda/alpha is 1.4105822535894925
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29683095156743644
the lambda is 0.48953335116361874
the regulation term lambda/alpha is 1.6491991437503533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3294749618834652
the lambda is 0.4900078255494841
the regulation term lambda/alpha is 1.4872384315588725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32259042745633043
the lambda is 0.49364422069441
the regulation term lambda/alpha is 1.5302506791254225
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32876983508383806
the lambda is 0.4864199841986478
the regulation term lambda/alpha is 1.4795152483335587
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219158443393732
the lambda is 0.5019992526761821
the regulation term lambda/alpha is 1.5594114471326226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3524770976969284
the lambda is 0.5557571512360882
the regulation term lambda/alpha is 1.576718472965715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29588862978632197
the lambda is 0.49613752534163386
the regulation term lambda/alpha is 1.6767711746812408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34507355471906814
the lambda is 0.48515261841143315
the regulation term lambda/alpha is 1.4059397243767533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28906421840465796
the lambda is 0.5122850029744321
the regulation term lambda/alpha is 1.7722186640799995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3176450395988646
the lambda is 0.4647018038585044
the regulation term lambda/alpha is 1.4629594230256175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28699110108332726
the lambda is 0.5184785973983839
the regulation term lambda/alpha is 1.8066016522506902
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3443782837010641
the lambda is 0.5175804077956196
the regulation term lambda/alpha is 1.5029414811907909
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30623805608419524
the lambda is 0.5314186827519688
the regulation term lambda/alpha is 1.735312356495183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4039009186681119
the lambda is 0.573184281929838
the regulation term lambda/alpha is 1.4191210156687644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989685710850883
the lambda is 0.5156638406279266
the regulation term lambda/alpha is 1.7248095301668531
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3227363508979913
the lambda is 0.5184275726098608
the regulation term lambda/alpha is 1.6063501095162427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33356808354124445
the lambda is 0.5479795498108494
the regulation term lambda/alpha is 1.6427817193820156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31387095389623876
the lambda is 0.5453042473453544
the regulation term lambda/alpha is 1.7373517382740176
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35631464020886966
the lambda is 0.5665834787584194
the regulation term lambda/alpha is 1.5901212434782117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30286379357582416
the lambda is 0.5219176267706025
the regulation term lambda/alpha is 1.7232750755990798
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29772328019836847
the lambda is 0.4789412022202333
the regulation term lambda/alpha is 1.6086790455255031
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2898898111245902
the lambda is 0.48362680909730693
the regulation term lambda/alpha is 1.668312546829911
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3284974413699237
the lambda is 0.5509502354171848
the regulation term lambda/alpha is 1.6771827297027715
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2812398409937075
the lambda is 0.47209493970879013
the regulation term lambda/alpha is 1.6786204189304488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.289240292819951
the lambda is 0.5036893940824907
the regulation term lambda/alpha is 1.7414219477230026
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.295258323423082
the lambda is 0.45037104554191204
the regulation term lambda/alpha is 1.525345806751621
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3436135397413965
the lambda is 0.5416484556640171
the regulation term lambda/alpha is 1.576330362510341
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31702793767466286
the lambda is 0.5312943497159918
the regulation term lambda/alpha is 1.675859716379984
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3392753118167093
the lambda is 0.5251219216007563
the regulation term lambda/alpha is 1.547775223575505
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2608415608402417
the lambda is 0.47703246861897475
the regulation term lambda/alpha is 1.8288207871564766
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30488436101118577
the lambda is 0.485799962103597
the regulation term lambda/alpha is 1.5933908859489638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2861296675640736
the lambda is 0.49115409539627153
the regulation term lambda/alpha is 1.7165437599590625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33558623502513685
the lambda is 0.5476344419683302
the regulation term lambda/alpha is 1.6318739710146635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34226798036916606
the lambda is 0.5636409574045821
the regulation term lambda/alpha is 1.6467826081675705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3045617504119203
the lambda is 0.5163312712990354
the regulation term lambda/alpha is 1.695325399859623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32552739047592505
the lambda is 0.5190876479472042
the regulation term lambda/alpha is 1.5946051334982647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3741240627877194
the lambda is 0.4737954377271606
the regulation term lambda/alpha is 1.266412628465428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30905261232173686
the lambda is 0.4451910538887232
the regulation term lambda/alpha is 1.4405024780222873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3265676074365042
the lambda is 0.5261447308481698
the regulation term lambda/alpha is 1.611135700133609
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3066486831074843
the lambda is 0.4913324990753866
the regulation term lambda/alpha is 1.6022651527356089
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30418848321753456
the lambda is 0.4731590557700946
the regulation term lambda/alpha is 1.5554798484324075
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35103334516418144
the lambda is 0.5047388285078399
the regulation term lambda/alpha is 1.4378657625011921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26360732069155407
the lambda is 0.4777241893588771
the regulation term lambda/alpha is 1.8122569134483955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3389147570904658
the lambda is 0.5369247283033863
the regulation term lambda/alpha is 1.584247121349355
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31198571073309134
the lambda is 0.4774096792458823
the regulation term lambda/alpha is 1.5302293112209673
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28773876901795814
the lambda is 0.4804747358107397
the regulation term lambda/alpha is 1.6698296772818704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2890908887440739
the lambda is 0.4891401278656956
the regulation term lambda/alpha is 1.6919942720807126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3062121784100009
the lambda is 0.4640111167011374
the regulation term lambda/alpha is 1.5153254815353967
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31479497004105333
the lambda is 0.5500826884177816
the regulation term lambda/alpha is 1.7474316325513197
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35078229241878106
the lambda is 0.4797612416207745
the regulation term lambda/alpha is 1.3676894529442554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39857753935847107
the lambda is 0.584990536392772
the regulation term lambda/alpha is 1.4676956893615762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34304313662860836
the lambda is 0.5152457019587988
the regulation term lambda/alpha is 1.501985164380722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2898116502264721
the lambda is 0.48846993772715175
the regulation term lambda/alpha is 1.68547378045513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31491911203585066
the lambda is 0.5006312348439531
the regulation term lambda/alpha is 1.5897137255580756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28790371210696136
the lambda is 0.4951896086621525
the regulation term lambda/alpha is 1.7199834105583909
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2981908544605259
the lambda is 0.5207765201844172
the regulation term lambda/alpha is 1.7464536970008144
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360390360804051
the lambda is 0.5460217555136152
the regulation term lambda/alpha is 1.6248759723943706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2908783358572332
the lambda is 0.4923025701042561
the regulation term lambda/alpha is 1.692469013388073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087362834292573
the lambda is 0.5036735264032655
the regulation term lambda/alpha is 1.6314037365766092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29795300528624735
the lambda is 0.46815009484049425
the regulation term lambda/alpha is 1.571221254810759
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31751588683119925
the lambda is 0.4699004330556908
the regulation term lambda/alpha is 1.479927312441861
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3337929429110583
the lambda is 0.5133252852356625
the regulation term lambda/alpha is 1.537855416471288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30737960940915804
the lambda is 0.5020337706959076
the regulation term lambda/alpha is 1.6332695967078357
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2768860887522606
the lambda is 0.5115589236369853
the regulation term lambda/alpha is 1.8475428864708852
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35265896337687863
the lambda is 0.5234486525526341
the regulation term lambda/alpha is 1.4842913605267885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37004167632721774
the lambda is 0.48277866349815474
the regulation term lambda/alpha is 1.3046602433809287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219722597074598
the lambda is 0.5329047403707083
the regulation term lambda/alpha is 1.655126254836051
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3114864160661544
the lambda is 0.5234739956277542
the regulation term lambda/alpha is 1.6805676544064037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32678417145518385
the lambda is 0.5244321493597377
the regulation term lambda/alpha is 1.6048272687885063
910
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29559416463672267
the lambda is 0.4867750741858597
the regulation term lambda/alpha is 1.6467682127084384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3271109569834156
the lambda is 0.5439525474192836
the regulation term lambda/alpha is 1.6628991961490969
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3573559658590549
the lambda is 0.45852130108847333
the regulation term lambda/alpha is 1.2830940151963748
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31563416010244044
the lambda is 0.5214819873908494
the regulation term lambda/alpha is 1.6521722085518251
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31551137114758554
the lambda is 0.5226488891624119
the regulation term lambda/alpha is 1.6565136377222185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222571573614492
the lambda is 0.4978777396705197
the regulation term lambda/alpha is 1.5449703080204713
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31870023375053136
the lambda is 0.49046200655364575
the regulation term lambda/alpha is 1.5389446087998924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3516018936781614
the lambda is 0.5051984720913163
the regulation term lambda/alpha is 1.436847983969476
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32164799989396736
the lambda is 0.4823900273215386
the regulation term lambda/alpha is 1.4997451483626838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30197951816696433
the lambda is 0.5331598422392132
the regulation term lambda/alpha is 1.7655496818973972
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3138350151617917
the lambda is 0.4265112857277349
the regulation term lambda/alpha is 1.3590302710736566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28807191091176887
the lambda is 0.4840065821161236
the regulation term lambda/alpha is 1.6801588901333941
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35464382616090406
the lambda is 0.5256329008396674
the regulation term lambda/alpha is 1.482143102644016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3214636874636028
the lambda is 0.48134948446157205
the regulation term lambda/alpha is 1.497368142136029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2741760925798659
the lambda is 0.49001153500890254
the regulation term lambda/alpha is 1.787214670681635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32994048120150976
the lambda is 0.5136504921691144
the regulation term lambda/alpha is 1.556797426913506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023133071385444
the lambda is 0.523761257672896
the regulation term lambda/alpha is 1.73251142210841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3132782614531992
the lambda is 0.5052028970726474
the regulation term lambda/alpha is 1.612633110031862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32901614414715696
the lambda is 0.530563073894065
the regulation term lambda/alpha is 1.61257459043336
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33108809702862424
the lambda is 0.553731663469995
the regulation term lambda/alpha is 1.6724601954570482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30461979145709667
the lambda is 0.5157959854914387
the regulation term lambda/alpha is 1.6932451533244666
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29762914299842175
the lambda is 0.5445577476267875
the regulation term lambda/alpha is 1.829651969362675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34154841253054646
the lambda is 0.525938052207886
the regulation term lambda/alpha is 1.5398638462734726
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31213792505133237
the lambda is 0.5497315060271079
the regulation term lambda/alpha is 1.7611813942080323
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321759296178234
the lambda is 0.5275967088688835
the regulation term lambda/alpha is 1.6397248351035327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34014677535717924
the lambda is 0.48697285491354053
the regulation term lambda/alpha is 1.4316550683221472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35355640291709806
the lambda is 0.5452066173255361
the regulation term lambda/alpha is 1.5420640464355448
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.33084063584528756
the lambda is 0.5462401663000982
the regulation term lambda/alpha is 1.6510673330815955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2885008727144988
the lambda is 0.44699733555535404
the regulation term lambda/alpha is 1.549379491817703
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33698313446144584
the lambda is 0.5411940512258363
the regulation term lambda/alpha is 1.605997439874114
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2963134838366954
the lambda is 0.5304798468526387
the regulation term lambda/alpha is 1.7902656334903655
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31155411141307654
the lambda is 0.508882490315717
the regulation term lambda/alpha is 1.6333679180404428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026019988875526
the lambda is 0.5312541203285654
the regulation term lambda/alpha is 1.7556199968328046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.319228732234152
the lambda is 0.5362176215752188
the regulation term lambda/alpha is 1.6797285689870392
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31521642809913347
the lambda is 0.5634305956333935
the regulation term lambda/alpha is 1.7874404548997627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012857761483393
the lambda is 0.5149075658810299
the regulation term lambda/alpha is 1.7090337700758667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3692371906942384
the lambda is 0.6020391606616139
the regulation term lambda/alpha is 1.6304943701084447
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.4032251028699531
the lambda is 0.5695365681379045
the regulation term lambda/alpha is 1.4124531535468159
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31402499917690496
the lambda is 0.4947649206535801
the regulation term lambda/alpha is 1.5755590222129285
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3191885856894607
the lambda is 0.5398082875360406
the regulation term lambda/alpha is 1.6911891957854073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29311189633342577
the lambda is 0.5199456167813048
the regulation term lambda/alpha is 1.7738809761233545
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30294590358750606
the lambda is 0.49638008568580433
the regulation term lambda/alpha is 1.6385106377331315
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32959568923102806
the lambda is 0.5378873772022711
the regulation term lambda/alpha is 1.6319612020933996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32566946276058684
the lambda is 0.47547923656378005
the regulation term lambda/alpha is 1.460005591354215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29499252513717245
the lambda is 0.4636860833729255
the regulation term lambda/alpha is 1.5718570603011381
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27780788993078936
the lambda is 0.4858880204954099
the regulation term lambda/alpha is 1.7490072748346341
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3299442572389801
the lambda is 0.4662663387444967
the regulation term lambda/alpha is 1.4131670078039211
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.344214254464524
the lambda is 0.5235881710197422
the regulation term lambda/alpha is 1.5211112387959085
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043134425848326
the lambda is 0.4947101566507767
the regulation term lambda/alpha is 1.625659886887408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491993135699387
the lambda is 0.5408652481323176
the regulation term lambda/alpha is 1.5488725982961917
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33118478244992
the lambda is 0.500532230363648
the regulation term lambda/alpha is 1.511338252503603
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3428082269820808
the lambda is 0.5127794599114327
the regulation term lambda/alpha is 1.4958201686864319
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.343173437919763
the lambda is 0.5429778001652837
the regulation term lambda/alpha is 1.582225604221259
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29584526021482527
the lambda is 0.5154994009787882
the regulation term lambda/alpha is 1.7424629368895859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014565264300529
the lambda is 0.5093423952296555
the regulation term lambda/alpha is 1.6896048039213325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.310401625428217
the lambda is 0.6077609314662145
the regulation term lambda/alpha is 1.9579824384868254
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32493364885949977
the lambda is 0.5457099507841909
the regulation term lambda/alpha is 1.6794504130292585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3449055775333393
the lambda is 0.5334891147998498
the regulation term lambda/alpha is 1.5467685927702393
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3247927707127935
the lambda is 0.5406809847467825
the regulation term lambda/alpha is 1.66469525648677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29844432801203474
the lambda is 0.5076132549820938
the regulation term lambda/alpha is 1.7008641389278616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2752386024267141
the lambda is 0.4533676384400604
the regulation term lambda/alpha is 1.647180426156885
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3299137044198561
the lambda is 0.522224327448318
the regulation term lambda/alpha is 1.5829118962082362
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32268057641962805
the lambda is 0.5032359985208901
the regulation term lambda/alpha is 1.559548467728221
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31578917251435057
the lambda is 0.494174759598764
the regulation term lambda/alpha is 1.564888231170456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34013861210491886
the lambda is 0.44418096104331684
the regulation term lambda/alpha is 1.305882205770585
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3120666611376477
the lambda is 0.4765171256887647
the regulation term lambda/alpha is 1.5269722307138105
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3198289951120301
the lambda is 0.5216333668749378
the regulation term lambda/alpha is 1.630975849116555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3472230779581563
the lambda is 0.5468485348238804
the regulation term lambda/alpha is 1.5749198988719892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2730454081376827
the lambda is 0.5078977841197646
the regulation term lambda/alpha is 1.8601220492367996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31534567103908134
the lambda is 0.5551681044588972
the regulation term lambda/alpha is 1.760506502688265
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31869570711584505
the lambda is 0.5082702290042699
the regulation term lambda/alpha is 1.5948449183832747
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3076044439444131
the lambda is 0.5321587375552851
the regulation term lambda/alpha is 1.730009913808173
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27519862831464
the lambda is 0.4676079717144186
the regulation term lambda/alpha is 1.6991653431491427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31352578335421677
the lambda is 0.5476268363139133
the regulation term lambda/alpha is 1.7466724122501038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31246910227997987
the lambda is 0.5392806464244987
the regulation term lambda/alpha is 1.7258687098646002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33448658589234775
the lambda is 0.5061356562267002
the regulation term lambda/alpha is 1.5131717610630775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3098749516691483
the lambda is 0.45849844523126376
the regulation term lambda/alpha is 1.4796240959830786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3189095381529295
the lambda is 0.5220883907066587
the regulation term lambda/alpha is 1.6371049725590117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973143451256123
the lambda is 0.4759546051128311
the regulation term lambda/alpha is 1.6008464203492945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3533072834449239
the lambda is 0.5775527868743594
the regulation term lambda/alpha is 1.63470387941887
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3052038890719407
the lambda is 0.4768181818121815
the regulation term lambda/alpha is 1.5622939250940837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26738331506371643
the lambda is 0.47086596390808666
the regulation term lambda/alpha is 1.7610147581418125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3579832196029826
the lambda is 0.517826497502499
the regulation term lambda/alpha is 1.4465105321886003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32304789404202455
the lambda is 0.4881137625580021
the regulation term lambda/alpha is 1.5109640754831992
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32938658802097104
the lambda is 0.43022656844757
the regulation term lambda/alpha is 1.3061447675585953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29247005312314944
the lambda is 0.48340158262315813
the regulation term lambda/alpha is 1.652824203576199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3173843498985597
the lambda is 0.4842298692875779
the regulation term lambda/alpha is 1.525689182350498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3405276850740286
the lambda is 0.5637920317788737
the regulation term lambda/alpha is 1.6556422766516292
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3523079955877917
the lambda is 0.5066206857388234
the regulation term lambda/alpha is 1.438005075342034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30545259818321685
the lambda is 0.507744761149566
the regulation term lambda/alpha is 1.6622702316809566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3223920938862623
the lambda is 0.5115949278372902
the regulation term lambda/alpha is 1.5868718170792904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29061647344628294
the lambda is 0.5622664456618717
the regulation term lambda/alpha is 1.934737005766468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34274164785945394
the lambda is 0.5503832291205368
the regulation term lambda/alpha is 1.6058253572563475
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34831645230557395
the lambda is 0.531847840583577
the regulation term lambda/alpha is 1.5269099035178308
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28527348552057225
the lambda is 0.4741375711093491
the regulation term lambda/alpha is 1.6620457041219034
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3705526162987375
the lambda is 0.5206172741496999
the regulation term lambda/alpha is 1.4049753024277156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38565877919327535
the lambda is 0.5458241733734325
the regulation term lambda/alpha is 1.4153033791041723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.281400998986327
the lambda is 0.5246005876068791
the regulation term lambda/alpha is 1.8642456476580205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34607864284573775
the lambda is 0.55307094675249
the regulation term lambda/alpha is 1.5981077081344708
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3624849116298108
the lambda is 0.5228424517357505
the regulation term lambda/alpha is 1.4423840412692972
920
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3254621672795542
the lambda is 0.48443201143164544
the regulation term lambda/alpha is 1.4884433895370237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33962737108879415
the lambda is 0.4948407729057517
the regulation term lambda/alpha is 1.4570108743572898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3706120345109976
the lambda is 0.5331995785631434
the regulation term lambda/alpha is 1.4387001201044947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3277081480208524
the lambda is 0.5200017769541954
the regulation term lambda/alpha is 1.586783179163147
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33775298769829576
the lambda is 0.5347490419429177
the regulation term lambda/alpha is 1.5832548087497376
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3260803008183824
the lambda is 0.5292506226612849
the regulation term lambda/alpha is 1.6230683709901956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3057963572747246
the lambda is 0.5072147589578021
the regulation term lambda/alpha is 1.6586684140979648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3303265809636787
the lambda is 0.4736867328535715
the regulation term lambda/alpha is 1.4339952039937593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058293119860442
the lambda is 0.5012723907389921
the regulation term lambda/alpha is 1.6390593415776527
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3423098724302592
the lambda is 0.5224008235444845
the regulation term lambda/alpha is 1.526105045804416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3155045274938559
the lambda is 0.5516856776139203
the regulation term lambda/alpha is 1.7485824434790838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33313818798253036
the lambda is 0.5432938630043466
the regulation term lambda/alpha is 1.630836339401704
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.332875069773162
the lambda is 0.516797887273574
the regulation term lambda/alpha is 1.5525280629328786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32703858337355696
the lambda is 0.5043187689733475
the regulation term lambda/alpha is 1.542077279601269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129983854024169
the lambda is 0.5195563098059253
the regulation term lambda/alpha is 1.6599328751742288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29731088899146585
the lambda is 0.4948671202633576
the regulation term lambda/alpha is 1.6644769451332222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.356641167247659
the lambda is 0.5673212107418322
the regulation term lambda/alpha is 1.590733944485642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3422102251635028
the lambda is 0.5199886545559455
the regulation term lambda/alpha is 1.5195006353404632
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30871079120987316
the lambda is 0.5376803393728091
the regulation term lambda/alpha is 1.7416959649048156
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2874990651428509
the lambda is 0.5119794657729068
the regulation term lambda/alpha is 1.7808039324180664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3253344419653372
the lambda is 0.49324562058427057
the regulation term lambda/alpha is 1.5161186673153515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3063921118624667
the lambda is 0.5045832863048372
the regulation term lambda/alpha is 1.6468546896903618
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32620672706795983
the lambda is 0.5475722175077626
the regulation term lambda/alpha is 1.6786049215768777
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3009643268806555
the lambda is 0.49754340843863565
the regulation term lambda/alpha is 1.6531640596592423
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31226903167711306
the lambda is 0.5292529379718197
the regulation term lambda/alpha is 1.6948620717505811
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30620094725278457
the lambda is 0.5081443282789276
the regulation term lambda/alpha is 1.6595125940594444
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3493960674069099
the lambda is 0.49983716341085976
the regulation term lambda/alpha is 1.4305746688005643
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3048328725759388
the lambda is 0.48969532762768875
the regulation term lambda/alpha is 1.6064387134156528
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125355236469826
the lambda is 0.4727282027201689
the regulation term lambda/alpha is 1.5125583076249862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3401024039490126
the lambda is 0.5407835817461443
the regulation term lambda/alpha is 1.5900610388723315
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3129091533347913
the lambda is 0.49555667037628026
the regulation term lambda/alpha is 1.5837078113405927
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124762764301219
the lambda is 0.49920655352603366
the regulation term lambda/alpha is 1.5975822524167518
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30698396331184313
the lambda is 0.531758778844212
the regulation term lambda/alpha is 1.7322037708661546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456735223436815
the lambda is 0.5121133900370441
the regulation term lambda/alpha is 1.4814944071067206
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202962003072715
the lambda is 0.510981492197683
the regulation term lambda/alpha is 1.595340474559112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29485515920175565
the lambda is 0.4995077412653504
the regulation term lambda/alpha is 1.6940783489006566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240814737788019
the lambda is 0.48042085769803067
the regulation term lambda/alpha is 1.4824076553846346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35132704287862415
the lambda is 0.514187229151614
the regulation term lambda/alpha is 1.4635572170550346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336402421474089
the lambda is 0.5155104389869484
the regulation term lambda/alpha is 1.5451086945296773
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2919864865183756
the lambda is 0.49867055642700947
the regulation term lambda/alpha is 1.7078549160720375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38061155487386306
the lambda is 0.5062502014765358
the regulation term lambda/alpha is 1.3300967745036278
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295927571391128
the lambda is 0.5643414187857948
the regulation term lambda/alpha is 1.7122385324371692
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29193489300842124
the lambda is 0.5136605444244728
the regulation term lambda/alpha is 1.7595037685668347
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36763370660628103
the lambda is 0.540530982110633
the regulation term lambda/alpha is 1.4702976696571435
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3005945152911524
the lambda is 0.5132354762401591
the regulation term lambda/alpha is 1.7074013334642686
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2957563596532514
the lambda is 0.48972696919305303
the regulation term lambda/alpha is 1.6558459461944124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314638606389175
the lambda is 0.49610822174966573
the regulation term lambda/alpha is 1.4967188905402413
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211722823136448
the lambda is 0.5185236982587803
the regulation term lambda/alpha is 1.614472128551895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29430097543434103
the lambda is 0.5322558510771425
the regulation term lambda/alpha is 1.8085425992612434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30284464123758353
the lambda is 0.5176063601135438
the regulation term lambda/alpha is 1.7091481559598682
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193428432769098
the lambda is 0.506830328689474
the regulation term lambda/alpha is 1.587104077513299
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31514995439360854
the lambda is 0.5327227961754167
the regulation term lambda/alpha is 1.690378782381384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3065218973364969
the lambda is 0.5115950573162166
the regulation term lambda/alpha is 1.6690326588791544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.341703826169431
the lambda is 0.5354124455348488
the regulation term lambda/alpha is 1.5668904019511007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28484053970223366
the lambda is 0.5168032008085428
the regulation term lambda/alpha is 1.8143597163128466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34738545971079177
the lambda is 0.5243575513190719
the regulation term lambda/alpha is 1.5094401238198467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29561840520724997
the lambda is 0.5306377093998643
the regulation term lambda/alpha is 1.7950090388582158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.272241683737354
the lambda is 0.48715377468169774
the regulation term lambda/alpha is 1.7894165507427613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2826862251425508
the lambda is 0.4829211034353077
the regulation term lambda/alpha is 1.7083290959500554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3429054255579803
the lambda is 0.5450964682476492
the regulation term lambda/alpha is 1.589640838609249
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36420166413596966
the lambda is 0.48135009579842747
the regulation term lambda/alpha is 1.3216581449191898
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002153705133103
the lambda is 0.48236167287576837
the regulation term lambda/alpha is 1.6067187767602407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397821335871061
the lambda is 0.48179929403595484
the regulation term lambda/alpha is 1.417965356063789
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33929363041799954
the lambda is 0.505683777737112
the regulation term lambda/alpha is 1.4904016238504827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27535123096788605
the lambda is 0.46610669433450186
the regulation term lambda/alpha is 1.6927714203277466
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3034028552736076
the lambda is 0.47107564553472064
the regulation term lambda/alpha is 1.5526407789073253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.335705517904505
the lambda is 0.5600817804546496
the regulation term lambda/alpha is 1.6683722804162273
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3516008415587698
the lambda is 0.5390260031188208
the regulation term lambda/alpha is 1.5330623235403236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3268863478123646
the lambda is 0.5050324888286849
the regulation term lambda/alpha is 1.5449788350248803
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29734056230318695
the lambda is 0.5470772714413961
the regulation term lambda/alpha is 1.8399012472558722
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28424458564114147
the lambda is 0.532147215305388
the regulation term lambda/alpha is 1.8721454767733847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3374293111285596
the lambda is 0.49778778821499975
the regulation term lambda/alpha is 1.4752357658263542
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2871928818964666
the lambda is 0.5152354803897593
the regulation term lambda/alpha is 1.7940398696075706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3643269867511978
the lambda is 0.5324843336741678
the regulation term lambda/alpha is 1.4615561104118981
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3307578062182238
the lambda is 0.46979307532895354
the regulation term lambda/alpha is 1.4203537044232255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095609615846805
the lambda is 0.4807788581413651
the regulation term lambda/alpha is 1.5530991236110627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31592527626389055
the lambda is 0.5166324816243446
the regulation term lambda/alpha is 1.6352996117753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3005295638242224
the lambda is 0.5197233221538444
the regulation term lambda/alpha is 1.729358388374153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3060086194197494
the lambda is 0.5043071133094278
the regulation term lambda/alpha is 1.6480160404164108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2749918878152161
the lambda is 0.5032937734135328
the regulation term lambda/alpha is 1.8302131652397204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26778400396263247
the lambda is 0.47527833556038285
the regulation term lambda/alpha is 1.7748570808086985
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3007448060113573
the lambda is 0.5397715411263714
the regulation term lambda/alpha is 1.794782587553607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3040179563633203
the lambda is 0.47352181664073884
the regulation term lambda/alpha is 1.5575455552199389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29696994641520036
the lambda is 0.5170766048258683
the regulation term lambda/alpha is 1.7411748598389543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2862608437779043
the lambda is 0.5170526677468693
the regulation term lambda/alpha is 1.8062291053261377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192936949743411
the lambda is 0.5119333374863099
the regulation term lambda/alpha is 1.603330555986862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32055870968024197
the lambda is 0.540994669221507
the regulation term lambda/alpha is 1.6876617383478687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3192826826590529
the lambda is 0.48938865936145115
the regulation term lambda/alpha is 1.532775455548419
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2989517514856359
the lambda is 0.510620837483052
the regulation term lambda/alpha is 1.7080376179284114
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29878841051221317
the lambda is 0.45710371621353985
the regulation term lambda/alpha is 1.529857585272222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3300032879935976
the lambda is 0.4487024114537646
the regulation term lambda/alpha is 1.3596907296950018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3212701738337889
the lambda is 0.5429273191411449
the regulation term lambda/alpha is 1.689940004894546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30526518622854754
the lambda is 0.5219599527320145
the regulation term lambda/alpha is 1.7098574494545564
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3406437625126482
the lambda is 0.523596944045278
the regulation term lambda/alpha is 1.5370806739073541
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3359061762843425
the lambda is 0.5250538395044855
the regulation term lambda/alpha is 1.5630967114460874
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36105227516615346
the lambda is 0.592494757274966
the regulation term lambda/alpha is 1.6410220846892727
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3523117600676035
the lambda is 0.5015711389967421
the regulation term lambda/alpha is 1.4236571010303427
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33948629323162643
the lambda is 0.5257352422010796
the regulation term lambda/alpha is 1.5486199374841279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3132507491235875
the lambda is 0.5202923899648946
the regulation term lambda/alpha is 1.6609453973232877
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3144303214099066
the lambda is 0.5108669531407872
the regulation term lambda/alpha is 1.6247381958904539
930
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2875219721499231
the lambda is 0.5072850220005072
the regulation term lambda/alpha is 1.764334802684202
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28815513383975333
the lambda is 0.492355203528402
the regulation term lambda/alpha is 1.7086463009269406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211539005716401
the lambda is 0.5310487866535692
the regulation term lambda/alpha is 1.6535648040030817
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3091222124706676
the lambda is 0.5522681086412236
the regulation term lambda/alpha is 1.7865688273489175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3220783157001463
the lambda is 0.5544669214816795
the regulation term lambda/alpha is 1.7215282571146024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3363992682745371
the lambda is 0.5287027084137059
the regulation term lambda/alpha is 1.571652373459472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32621656746857924
the lambda is 0.49870050461696563
the regulation term lambda/alpha is 1.5287405801822123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193717295736712
the lambda is 0.5152833448553815
the regulation term lambda/alpha is 1.613428168934152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34009996006167664
the lambda is 0.5280646830130498
the regulation term lambda/alpha is 1.552674933914388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34624487195614156
the lambda is 0.5610149654172802
the regulation term lambda/alpha is 1.6202838247041051
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3404846118694799
the lambda is 0.5408253745766619
the regulation term lambda/alpha is 1.5883988753770166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089059628561797
the lambda is 0.5199709997284364
the regulation term lambda/alpha is 1.683266308363637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087338609351632
the lambda is 0.4983811183918764
the regulation term lambda/alpha is 1.61427423892626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2528445424042716
the lambda is 0.5268004717037199
the regulation term lambda/alpha is 2.083495521376221
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2708059478140642
the lambda is 0.5043094365280164
the regulation term lambda/alpha is 1.862253915022118
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3283187240528093
the lambda is 0.5578375214992438
the regulation term lambda/alpha is 1.699073128127523
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2711278857142453
the lambda is 0.4724226534230273
the regulation term lambda/alpha is 1.7424347635010007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31035045043730913
the lambda is 0.47940666793446396
the regulation term lambda/alpha is 1.5447268314221578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29171892611418754
the lambda is 0.5480847988144169
the regulation term lambda/alpha is 1.8788112451774213
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33647018759237696
the lambda is 0.5190827837275973
the regulation term lambda/alpha is 1.542730389999514
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30517370621189316
the lambda is 0.5467515411514925
the regulation term lambda/alpha is 1.791607632054195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31700714292834503
the lambda is 0.5029646818911255
the regulation term lambda/alpha is 1.5866036242748434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.295945576564861
the lambda is 0.5077130427037945
the regulation term lambda/alpha is 1.715562194228375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224685004114276
the lambda is 0.5412210741788043
the regulation term lambda/alpha is 1.6783688127314047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3436967833333583
the lambda is 0.5319642466539134
the regulation term lambda/alpha is 1.5477719677636632
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3120007681687953
the lambda is 0.49881499199586743
the regulation term lambda/alpha is 1.5987620637074968
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30762411279176854
the lambda is 0.4786029628592175
the regulation term lambda/alpha is 1.5558044475635266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3398828899631712
the lambda is 0.4791786521182814
the regulation term lambda/alpha is 1.4098345820532594
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27686753219417776
the lambda is 0.48442804308262094
the regulation term lambda/alpha is 1.7496744354367744
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31776876298024853
the lambda is 0.5401796733095421
the regulation term lambda/alpha is 1.699914328404639
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36663871730280845
the lambda is 0.560605296117423
the regulation term lambda/alpha is 1.5290400867686236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32764539264001913
the lambda is 0.5272943154708472
the regulation term lambda/alpha is 1.6093445148797816
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3086640990568909
the lambda is 0.533772854313871
the regulation term lambda/alpha is 1.7293000901134588
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31842304829258244
the lambda is 0.5141040690616443
the regulation term lambda/alpha is 1.6145315856321452
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3043358953874687
the lambda is 0.5329433502011601
the regulation term lambda/alpha is 1.751168226549935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31543069612741215
the lambda is 0.5005109238780259
the regulation term lambda/alpha is 1.586754016089335
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3124106789380656
the lambda is 0.50747658091026
the regulation term lambda/alpha is 1.6243893538955037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.279804609085964
the lambda is 0.4797169134448034
the regulation term lambda/alpha is 1.7144710911371035
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3087741639577517
the lambda is 0.467329611079526
the regulation term lambda/alpha is 1.5134997212508647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3058339496628935
the lambda is 0.48566822401367565
the regulation term lambda/alpha is 1.5880127910881217
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30411093219298707
the lambda is 0.5299946046248619
the regulation term lambda/alpha is 1.7427673540145223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2848730943309052
the lambda is 0.5007827019076827
the regulation term lambda/alpha is 1.7579150571727196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29247497186591087
the lambda is 0.5305637156857055
the regulation term lambda/alpha is 1.8140482664238007
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2889266021318652
the lambda is 0.48604035743444635
the regulation term lambda/alpha is 1.6822277832783947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2891845388230828
the lambda is 0.5489048784506728
the regulation term lambda/alpha is 1.8981128129622504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2930077551474235
the lambda is 0.48111538510261215
the regulation term lambda/alpha is 1.6419885707821775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36506906774694314
the lambda is 0.5328816555701116
the regulation term lambda/alpha is 1.4596735320766534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31381683199450683
the lambda is 0.5242279397250966
the regulation term lambda/alpha is 1.670490191342805
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3643891199822769
the lambda is 0.5231847292625723
the regulation term lambda/alpha is 1.4357858140441155
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3487010000044755
the lambda is 0.5350984206513562
the regulation term lambda/alpha is 1.5345479956882495
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29331355321545244
the lambda is 0.4797503180691093
the regulation term lambda/alpha is 1.635622741635503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3115390454219855
the lambda is 0.5324120019510223
the regulation term lambda/alpha is 1.7089735934378956
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31009177819762845
the lambda is 0.5784486283849513
the regulation term lambda/alpha is 1.8654110461977258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3687248282824266
the lambda is 0.5544023124664169
the regulation term lambda/alpha is 1.5035665351012646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2931271101024338
the lambda is 0.49289759374619574
the regulation term lambda/alpha is 1.6815148676420675
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35887211189447693
the lambda is 0.5429988963800825
the regulation term lambda/alpha is 1.513070752457205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31559903151207386
the lambda is 0.5203424721160433
the regulation term lambda/alpha is 1.6487454654820024
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31660199675069517
the lambda is 0.4699876929411085
the regulation term lambda/alpha is 1.4844748225362432
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2962077355088433
the lambda is 0.511916950850411
the regulation term lambda/alpha is 1.7282362662508108
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30750657310890733
the lambda is 0.5529280806323431
the regulation term lambda/alpha is 1.798101663461082
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222507698995038
the lambda is 0.5064894886843407
the regulation term lambda/alpha is 1.5717246815028343
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31564547583550173
the lambda is 0.5093893328576479
the regulation term lambda/alpha is 1.6138021034811711
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.324968017990459
the lambda is 0.5048866021919505
the regulation term lambda/alpha is 1.5536501262926552
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3517041004272327
the lambda is 0.5629533779540242
the regulation term lambda/alpha is 1.6006449093717598
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32416871981457684
the lambda is 0.5322474090174241
the regulation term lambda/alpha is 1.6418839218104306
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29843541376489147
the lambda is 0.5188729047654297
the regulation term lambda/alpha is 1.7386438768094719
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35200745997708105
the lambda is 0.5273041523267509
the regulation term lambda/alpha is 1.497991412912338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.334594247705649
the lambda is 0.5633134062421883
the regulation term lambda/alpha is 1.6835716994685137
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.25497462493814016
the lambda is 0.48457893659317436
the regulation term lambda/alpha is 1.9004986739787886
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30143687295395594
the lambda is 0.45717736261439657
the regulation term lambda/alpha is 1.5166603811081525
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32479638547523787
the lambda is 0.5590848022663901
the regulation term lambda/alpha is 1.7213393598834066
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3355683686102582
the lambda is 0.49653819890462475
the regulation term lambda/alpha is 1.4796930978954188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3370942182078789
the lambda is 0.5345439325080077
the regulation term lambda/alpha is 1.5857404358634408
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29173731097528716
the lambda is 0.5333253778220102
the regulation term lambda/alpha is 1.8281013698216604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039303975081965
the lambda is 0.5022097369916155
the regulation term lambda/alpha is 1.6523840363090756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35431124916767576
the lambda is 0.5065490114372315
the regulation term lambda/alpha is 1.4296723929234043
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3095778499819712
the lambda is 0.48812750322293763
the regulation term lambda/alpha is 1.5767520294212412
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33735166355715523
the lambda is 0.49123833565500263
the regulation term lambda/alpha is 1.4561609996975022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31467260875038816
the lambda is 0.5171666313577852
the regulation term lambda/alpha is 1.6435069878230932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28996106115580955
the lambda is 0.4978637281741615
the regulation term lambda/alpha is 1.7170020215460455
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27369603590174857
the lambda is 0.47805502993243665
the regulation term lambda/alpha is 1.7466640624055252
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34115442799843587
the lambda is 0.5103346106477511
the regulation term lambda/alpha is 1.4959049883711046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3331202139839825
the lambda is 0.5314607912567106
the regulation term lambda/alpha is 1.5954024071390185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2808605621183221
the lambda is 0.541979983659461
the regulation term lambda/alpha is 1.9297119523357409
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3666345080938921
the lambda is 0.5192855830916515
the regulation term lambda/alpha is 1.4163576303588608
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32816729824402413
the lambda is 0.5243673242623418
the regulation term lambda/alpha is 1.5978658661851919
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33411849934782034
the lambda is 0.48143418727589904
the regulation term lambda/alpha is 1.4409085046641543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3507751122850594
the lambda is 0.5151227413752966
the regulation term lambda/alpha is 1.468527051476443
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133190123202593
the lambda is 0.5234685870507401
the regulation term lambda/alpha is 1.6707207876542014
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3619396578461516
the lambda is 0.5322633607593409
the regulation term lambda/alpha is 1.47058590906219
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28387893809014003
the lambda is 0.5015919452082588
the regulation term lambda/alpha is 1.7669220146546707
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3425903488852032
the lambda is 0.544673892819392
the regulation term lambda/alpha is 1.589869342763955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33548568689505776
the lambda is 0.4964752709106903
the regulation term lambda/alpha is 1.4798702010377904
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32196825893021086
the lambda is 0.5448445909411906
the regulation term lambda/alpha is 1.6922307582477873
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28913790019737245
the lambda is 0.5127285471204172
the regulation term lambda/alpha is 1.7733010676580843
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3545250176155613
the lambda is 0.5115156013573001
the regulation term lambda/alpha is 1.442819479419576
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29844157551038136
the lambda is 0.4999113801910301
the regulation term lambda/alpha is 1.6750728491367335
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3046740828993568
the lambda is 0.5083183139788384
the regulation term lambda/alpha is 1.668400243110772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30635021119427797
the lambda is 0.49289614080725574
the regulation term lambda/alpha is 1.6089303117688274
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32860406467734093
the lambda is 0.5018710982010078
the regulation term lambda/alpha is 1.5272820763608
940
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30076276146242253
the lambda is 0.5448239797445601
the regulation term lambda/alpha is 1.811474190140493
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3230149646900172
the lambda is 0.5046780631567145
the regulation term lambda/alpha is 1.56239839736537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3261748947590864
the lambda is 0.5780245918732912
the regulation term lambda/alpha is 1.7721308450186568
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33442344600354185
the lambda is 0.5126614140867617
the regulation term lambda/alpha is 1.532970909226658
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28945936885424745
the lambda is 0.48195305195897253
the regulation term lambda/alpha is 1.665011064822891
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.33709441881367797
the lambda is 0.5538698081820886
the regulation term lambda/alpha is 1.643070241658996
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3533290375922862
the lambda is 0.5345075056549176
the regulation term lambda/alpha is 1.5127754834339346
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3054805100357425
the lambda is 0.49720956236780894
the regulation term lambda/alpha is 1.627631046935313
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3360461131431492
the lambda is 0.5140882205032314
the regulation term lambda/alpha is 1.5298145117489865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29648901853612575
the lambda is 0.5336579854791932
the regulation term lambda/alpha is 1.7999249621927214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2850903784683665
the lambda is 0.5021903693279802
the regulation term lambda/alpha is 1.7615128648885745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3385020914531853
the lambda is 0.5611103775323794
the regulation term lambda/alpha is 1.6576275057076881
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30491210696699594
the lambda is 0.5487758726495177
the regulation term lambda/alpha is 1.7997838069083882
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2924210919924304
the lambda is 0.46840686742886334
the regulation term lambda/alpha is 1.601823125128705
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30927682622338404
the lambda is 0.49720249377200626
the regulation term lambda/alpha is 1.607629319801955
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3131820836874009
the lambda is 0.48464787245987234
the regulation term lambda/alpha is 1.5474955232228993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28634460507409887
the lambda is 0.5158336611716667
the regulation term lambda/alpha is 1.8014436173441501
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3350518048229367
the lambda is 0.5278221262596248
the regulation term lambda/alpha is 1.575344823283553
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3488839853272725
the lambda is 0.5366055732518331
the regulation term lambda/alpha is 1.5380630691559756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3421998918290568
the lambda is 0.5644455797167927
the regulation term lambda/alpha is 1.649461595969051
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2814344295403355
the lambda is 0.5045266062369451
the regulation term lambda/alpha is 1.7926968177311646
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321609873398398
the lambda is 0.5468553732971999
the regulation term lambda/alpha is 1.700368734077316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34091279645968847
the lambda is 0.5257367163325857
the regulation term lambda/alpha is 1.54214427206094
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31938434712856656
the lambda is 0.5071997175256356
the regulation term lambda/alpha is 1.5880543993017446
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30062365238056354
the lambda is 0.4781048481392137
the regulation term lambda/alpha is 1.5903766864424038
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35134676237461515
the lambda is 0.5215110515284131
the regulation term lambda/alpha is 1.4843200717255063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31211440463217943
the lambda is 0.5006541481948166
the regulation term lambda/alpha is 1.6040725476442763
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32678082145099185
the lambda is 0.49381132269934513
the regulation term lambda/alpha is 1.5111392416075533
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073566865179323
the lambda is 0.5168855303618366
the regulation term lambda/alpha is 1.6817123330475507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29226065889059105
the lambda is 0.5416592823157199
the regulation term lambda/alpha is 1.853343123127948
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3219108401079159
the lambda is 0.4760536356545991
the regulation term lambda/alpha is 1.4788369211021573
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35230158881322404
the lambda is 0.49009106649575496
the regulation term lambda/alpha is 1.3911122800969862
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.341510426220024
the lambda is 0.5433810603098687
the regulation term lambda/alpha is 1.591111188973733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282013323673177
the lambda is 0.4952537175731021
the regulation term lambda/alpha is 1.508993622910775
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314525355229124
the lambda is 0.5406921957970533
the regulation term lambda/alpha is 1.6312809161168018
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37354703872725614
the lambda is 0.5594247003200262
the regulation term lambda/alpha is 1.4976017537873936
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3722905988151105
the lambda is 0.5462657610630092
the regulation term lambda/alpha is 1.4673101142000617
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30298466281766817
the lambda is 0.4990193522098087
the regulation term lambda/alpha is 1.647011923207847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3441880504591547
the lambda is 0.5370135725661754
the regulation term lambda/alpha is 1.5602330523961745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2909937256552854
the lambda is 0.4895395207460823
the regulation term lambda/alpha is 1.682302666986011
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34951070410211854
the lambda is 0.5050196427999682
the regulation term lambda/alpha is 1.4449332649120061
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.353714450597914
the lambda is 0.5307603510627737
the regulation term lambda/alpha is 1.5005334109635153
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3236476601103857
the lambda is 0.5000623401861068
the regulation term lambda/alpha is 1.5450825135443644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33684631691118844
the lambda is 0.45862833815182985
the regulation term lambda/alpha is 1.3615358551560175
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30444219976234743
the lambda is 0.5373259199161776
the regulation term lambda/alpha is 1.7649521660782344
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33019150918406787
the lambda is 0.5204293458138646
the regulation term lambda/alpha is 1.576143938709663
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936156759698589
the lambda is 0.49372359419676065
the regulation term lambda/alpha is 1.6815300905372772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3185114620122196
the lambda is 0.5229588673109351
the regulation term lambda/alpha is 1.6418839812140638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31312946330464714
the lambda is 0.5315004825980438
the regulation term lambda/alpha is 1.6973825362480857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3160287642780962
the lambda is 0.5107314285528468
the regulation term lambda/alpha is 1.6160915912812859
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28187841063715785
the lambda is 0.484361278753697
the regulation term lambda/alpha is 1.718334077657267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456203091378112
the lambda is 0.5015556003612727
the regulation term lambda/alpha is 1.4511751395988841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3237703688408927
the lambda is 0.5661649183394677
the regulation term lambda/alpha is 1.7486619308813047
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32448161407851156
the lambda is 0.5600202602022395
the regulation term lambda/alpha is 1.725892118086965
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31502586289569934
the lambda is 0.5345110218117947
the regulation term lambda/alpha is 1.6967210783857571
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3187155239402567
the lambda is 0.47841928288936286
the regulation term lambda/alpha is 1.5010855981368596
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29384077477719733
the lambda is 0.4887118457598053
the regulation term lambda/alpha is 1.663185941877425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.259171829172495
the lambda is 0.4996014877484686
the regulation term lambda/alpha is 1.9276843835367334
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31311439653063067
the lambda is 0.5334782217183363
the regulation term lambda/alpha is 1.7037805595315332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34784938471957394
the lambda is 0.49622599979419896
the regulation term lambda/alpha is 1.4265541972835223
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32911971838694865
the lambda is 0.554035594185939
the regulation term lambda/alpha is 1.6833862063972567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026630277494894
the lambda is 0.5336787693712695
the regulation term lambda/alpha is 1.7632770455629918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3728811264157798
the lambda is 0.5296003162840474
the regulation term lambda/alpha is 1.42029263152761
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3054235861840668
the lambda is 0.5122874518129591
the regulation term lambda/alpha is 1.6773015411593772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32292489590754386
the lambda is 0.5244254299571088
the regulation term lambda/alpha is 1.623985752115118
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31360356567983
the lambda is 0.5205341148489909
the regulation term lambda/alpha is 1.6598475649362492
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3222079081505385
the lambda is 0.4653646380959008
the regulation term lambda/alpha is 1.444299243823892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29899089544062973
the lambda is 0.4814178021484498
the regulation term lambda/alpha is 1.6101420126488246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32954870018692045
the lambda is 0.4981848091055818
the regulation term lambda/alpha is 1.5117183251610786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26783123961661504
the lambda is 0.4815994949364538
the regulation term lambda/alpha is 1.798145338183237
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3012729376426722
the lambda is 0.475268027104789
the regulation term lambda/alpha is 1.5775330861893921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133105741207247
the lambda is 0.4878740341209247
the regulation term lambda/alpha is 1.5571578951335912
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3392274766414637
the lambda is 0.5327224308858016
the regulation term lambda/alpha is 1.5703988254726389
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3392953603321819
the lambda is 0.5512131713328307
the regulation term lambda/alpha is 1.624582106849837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29860851145135076
the lambda is 0.5046850420307647
the regulation term lambda/alpha is 1.6901227616647756
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31164583850685385
the lambda is 0.5147487549679151
the regulation term lambda/alpha is 1.6517106643687607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30893212110592455
the lambda is 0.5175583894639469
the regulation term lambda/alpha is 1.67531426518931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29562213743676563
the lambda is 0.5227509704919652
the regulation term lambda/alpha is 1.7683079319585226
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29666771777617096
the lambda is 0.5526695508237736
the regulation term lambda/alpha is 1.8629244697286214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3021121931366767
the lambda is 0.5304091335180859
the regulation term lambda/alpha is 1.7556694021883679
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3282390701386324
the lambda is 0.5015688544719384
the regulation term lambda/alpha is 1.5280595763938152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3301189128729331
the lambda is 0.4917082726243743
the regulation term lambda/alpha is 1.4894883432917367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3349795979582165
the lambda is 0.48034645417163124
the regulation term lambda/alpha is 1.4339573427738932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3235967696549265
the lambda is 0.4973959376038501
the regulation term lambda/alpha is 1.5370856085314375
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30124919369119296
the lambda is 0.5638983278822125
the regulation term lambda/alpha is 1.871866679451624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33114259723995443
the lambda is 0.5211986787183309
the regulation term lambda/alpha is 1.5739402996246266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36782827487874387
the lambda is 0.48471105291437594
the regulation term lambda/alpha is 1.3177645276839116
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2852158502217372
the lambda is 0.5016532647551791
the regulation term lambda/alpha is 1.7588547914331396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29459905710805395
the lambda is 0.5468690744303292
the regulation term lambda/alpha is 1.8563164451329077
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35317712104170434
the lambda is 0.5742611086900338
the regulation term lambda/alpha is 1.6259861539055445
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.33075446945085146
the lambda is 0.5118580834074749
the regulation term lambda/alpha is 1.5475469893341367
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3279825839568134
the lambda is 0.5061093114375136
the regulation term lambda/alpha is 1.5430981283571896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30477113520740207
the lambda is 0.5290606200093299
the regulation term lambda/alpha is 1.735927582673782
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2702337062926458
the lambda is 0.49067346938968864
the regulation term lambda/alpha is 1.8157374819050909
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33802173780152583
the lambda is 0.5377960131665209
the regulation term lambda/alpha is 1.5910101423189988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37390602735470957
the lambda is 0.5374497747930808
the regulation term lambda/alpha is 1.4373926480816632
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33307169369129186
the lambda is 0.5238363800419554
the regulation term lambda/alpha is 1.5727436163562858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3565789102924566
the lambda is 0.5398300949605194
the regulation term lambda/alpha is 1.5139148148659858
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3241920880548513
the lambda is 0.49403868017295194
the regulation term lambda/alpha is 1.5239072709552481
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2953707038589394
the lambda is 0.5009806776158429
the regulation term lambda/alpha is 1.696108216118471
950
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32074908837422567
the lambda is 0.4983778429054148
the regulation term lambda/alpha is 1.5537934821000814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31493718449118857
the lambda is 0.5348292729792623
the regulation term lambda/alpha is 1.698209355123723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178699595229863
the lambda is 0.4919361494490387
the regulation term lambda/alpha is 1.5476018878514535
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105238551274413
the lambda is 0.5071958617119315
the regulation term lambda/alpha is 1.633355548493286
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34831574535435905
the lambda is 0.5209107979839791
the regulation term lambda/alpha is 1.495513208723971
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123070222717826
the lambda is 0.539745754001125
the regulation term lambda/alpha is 1.7282536590913276
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151925786801576
the lambda is 0.5407331067956429
the regulation term lambda/alpha is 1.71556420858612
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3001912182324343
the lambda is 0.550572455874232
the regulation term lambda/alpha is 1.8340724925801482
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.26767697019880105
the lambda is 0.5203686080431501
the regulation term lambda/alpha is 1.9440171026169246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30442408717750447
the lambda is 0.4870202608209652
the regulation term lambda/alpha is 1.5998085609335901
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3476446258866518
the lambda is 0.5115576737391957
the regulation term lambda/alpha is 1.4714959923067734
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3148831039183232
the lambda is 0.5832149038778051
the regulation term lambda/alpha is 1.8521632206378524
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33349579026980525
the lambda is 0.563309156982667
the regulation term lambda/alpha is 1.6891042508420806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27547560370119933
the lambda is 0.511192661005239
the regulation term lambda/alpha is 1.8556730764431515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33131695336950745
the lambda is 0.4956304341526604
the regulation term lambda/alpha is 1.4959404555428808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3181453336006537
the lambda is 0.5338166401573695
the regulation term lambda/alpha is 1.6779018384957152
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33494310600753885
the lambda is 0.530885069775486
the regulation term lambda/alpha is 1.5850007367028385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3002928632638432
the lambda is 0.5243214653443911
the regulation term lambda/alpha is 1.7460337207005547
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2637384719981754
the lambda is 0.4991056763755996
the regulation term lambda/alpha is 1.8924265109833978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3174105713887942
the lambda is 0.5037513325481848
the regulation term lambda/alpha is 1.5870653908723884
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30912009734295376
the lambda is 0.49879638800439924
the regulation term lambda/alpha is 1.6136006435421404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.289920695371479
the lambda is 0.5322626716441192
the regulation term lambda/alpha is 1.8358905733242823
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32606307634166354
the lambda is 0.4854951404778604
the regulation term lambda/alpha is 1.4889608045319942
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30219416498620133
the lambda is 0.5170997535738294
the regulation term lambda/alpha is 1.7111506888210135
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32831524313290994
the lambda is 0.5356563523281274
the regulation term lambda/alpha is 1.631530559521663
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30450344954318986
the lambda is 0.5277723012029212
the regulation term lambda/alpha is 1.7332227335837243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28125459913986545
the lambda is 0.457111955458336
the regulation term lambda/alpha is 1.6252603756748463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3562553084310916
the lambda is 0.6000613926654429
the regulation term lambda/alpha is 1.6843577582269467
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3415163307505917
the lambda is 0.5511207065618262
the regulation term lambda/alpha is 1.6137462748869482
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27058480632477483
the lambda is 0.4850419428288598
the regulation term lambda/alpha is 1.7925690263875294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090143908077905
the lambda is 0.46701433012885624
the regulation term lambda/alpha is 1.511302851974111
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33758919110045676
the lambda is 0.5376962423733522
the regulation term lambda/alpha is 1.5927531347215125
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.334042429500441
the lambda is 0.5020717364864233
the regulation term lambda/alpha is 1.5030178568550991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34446237445399225
the lambda is 0.5430774615420155
the regulation term lambda/alpha is 1.5765944318384506
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30540855628183317
the lambda is 0.5208014662830345
the regulation term lambda/alpha is 1.7052615441541041
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202180792335603
the lambda is 0.4870429923387714
the regulation term lambda/alpha is 1.520972811730385
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29187143800804805
the lambda is 0.5246713099963383
the regulation term lambda/alpha is 1.797611008384695
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32771003925797487
the lambda is 0.5558208938315861
the regulation term lambda/alpha is 1.6960752715727492
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.312248880322489
the lambda is 0.5573216797886212
the regulation term lambda/alpha is 1.7848636613621236
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29631673321429064
the lambda is 0.5226116506754208
the regulation term lambda/alpha is 1.7636926710361578
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2845175099000926
the lambda is 0.4965498445515402
the regulation term lambda/alpha is 1.745234747506057
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29563074568647163
the lambda is 0.5140433396400029
the regulation term lambda/alpha is 1.7388020263128068
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3182439068480121
the lambda is 0.5349276970609428
the regulation term lambda/alpha is 1.6808733350436624
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3264270507904464
the lambda is 0.5511950596666574
the regulation term lambda/alpha is 1.688570412078083
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3323092976554688
the lambda is 0.46880392687257894
the regulation term lambda/alpha is 1.410745742535994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3027546632680075
the lambda is 0.5295979150240244
the regulation term lambda/alpha is 1.749264269978258
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3726140921461547
the lambda is 0.5539209410926571
the regulation term lambda/alpha is 1.4865807621558937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2905251366863685
the lambda is 0.47950714413220374
the regulation term lambda/alpha is 1.6504841873625813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.330552800153304
the lambda is 0.481163330697454
the regulation term lambda/alpha is 1.4556322937645656
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3375391037438135
the lambda is 0.5245257150934011
the regulation term lambda/alpha is 1.553970219377922
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31121520596145186
the lambda is 0.5534951476520454
the regulation term lambda/alpha is 1.7784964778379215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33005135322569035
the lambda is 0.5923391760391788
the regulation term lambda/alpha is 1.7946879182589963
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3879226670924654
the lambda is 0.5488426998096171
the regulation term lambda/alpha is 1.4148250318118036
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3286029052743402
the lambda is 0.47801516673916833
the regulation term lambda/alpha is 1.4546894110387993
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32443294709872683
the lambda is 0.5588117998889973
the regulation term lambda/alpha is 1.7224261743026599
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3089942099568801
the lambda is 0.49283883581162463
the regulation term lambda/alpha is 1.594977575406348
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30682426957570547
the lambda is 0.5350495295226545
the regulation term lambda/alpha is 1.7438305329058625
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3456516377726265
the lambda is 0.500282130330742
the regulation term lambda/alpha is 1.447359351613526
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29500627028241644
the lambda is 0.4971375891104993
the regulation term lambda/alpha is 1.6851763477250088
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3382985717709061
the lambda is 0.5286481243689554
the regulation term lambda/alpha is 1.5626673254977645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.314740192220923
the lambda is 0.473324072622571
the regulation term lambda/alpha is 1.5038564642241006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33664342425331156
the lambda is 0.5008837151277125
the regulation term lambda/alpha is 1.4878761295833784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.331674601495887
the lambda is 0.5235601239574704
the regulation term lambda/alpha is 1.5785354730092678
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3487466230560324
the lambda is 0.5566654446642414
the regulation term lambda/alpha is 1.5961887739191187
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37285966744289806
the lambda is 0.528439781432961
the regulation term lambda/alpha is 1.4172618482901196
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2864440430535553
the lambda is 0.5289565845502435
the regulation term lambda/alpha is 1.8466314708850364
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29877241587841136
the lambda is 0.5273464313458749
the regulation term lambda/alpha is 1.7650439040546642
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28533215370382714
the lambda is 0.5332746929799768
the regulation term lambda/alpha is 1.8689610899355995
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31239849475139736
the lambda is 0.5496283951222156
the regulation term lambda/alpha is 1.7593823413253087
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3026186500605725
the lambda is 0.522759020613793
the regulation term lambda/alpha is 1.7274514327162485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3258235120111595
the lambda is 0.5122275996054494
the regulation term lambda/alpha is 1.5721014006745637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2980494718825454
the lambda is 0.498827358338161
the regulation term lambda/alpha is 1.6736394639032868
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30271799448130915
the lambda is 0.48315810981277085
the regulation term lambda/alpha is 1.5960666977879396
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30206861016269737
the lambda is 0.49889728179387965
the regulation term lambda/alpha is 1.6516025333621003
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31651884730909285
the lambda is 0.5285582400572095
the regulation term lambda/alpha is 1.6699107953626915
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31524377934259407
the lambda is 0.5073764386145866
the regulation term lambda/alpha is 1.6094732770704117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193356164834442
the lambda is 0.47108301827897836
the regulation term lambda/alpha is 1.4751972343911768
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3664524513010398
the lambda is 0.5283614406966448
the regulation term lambda/alpha is 1.441828097535626
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28424928999034343
the lambda is 0.46189787161524615
the regulation term lambda/alpha is 1.6249745835106142
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3377267524593898
the lambda is 0.5615274741041009
the regulation term lambda/alpha is 1.662668029745799
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33418039226737406
the lambda is 0.4866098228057192
the regulation term lambda/alpha is 1.4561291867070048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3008361049029199
the lambda is 0.5355210806621611
the regulation term lambda/alpha is 1.7801090757872107
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3143946113865204
the lambda is 0.5680034409761778
the regulation term lambda/alpha is 1.806657685611118
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3254866462156539
the lambda is 0.5353329246176153
the regulation term lambda/alpha is 1.6447154770918806
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.301521931085644
the lambda is 0.5269850671401078
the regulation term lambda/alpha is 1.7477503717314131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28618402832995016
the lambda is 0.48469751043395465
the regulation term lambda/alpha is 1.6936567468927104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31396687705318826
the lambda is 0.523740335521954
the regulation term lambda/alpha is 1.6681388190934185
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30030726514551587
the lambda is 0.5058631513286796
the regulation term lambda/alpha is 1.6844852257688814
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31399457850140855
the lambda is 0.489032176568366
the regulation term lambda/alpha is 1.557454204790266
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2982015823975818
the lambda is 0.4916234801695523
the regulation term lambda/alpha is 1.6486280059845149
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3013601199803568
the lambda is 0.44112973669811323
the regulation term lambda/alpha is 1.4637959950602186
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32251993364564774
the lambda is 0.5244367209814379
the regulation term lambda/alpha is 1.6260598687758503
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3638027432928894
the lambda is 0.5119309927382122
the regulation term lambda/alpha is 1.407166389413584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3256470172067555
the lambda is 0.5526096337972675
the regulation term lambda/alpha is 1.6969589911717566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2936677738347279
the lambda is 0.5084596508341794
the regulation term lambda/alpha is 1.7314111255541895
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3216595499765926
the lambda is 0.5025869320161146
the regulation term lambda/alpha is 1.5624809897691154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30142236982519377
the lambda is 0.5075350432393265
the regulation term lambda/alpha is 1.6838001888634386
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3753036093149486
the lambda is 0.5383545452275406
the regulation term lambda/alpha is 1.4344507536450637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3432420301026709
the lambda is 0.5160376505506791
the regulation term lambda/alpha is 1.5034220908095706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3464501717399134
the lambda is 0.5509913316436176
the regulation term lambda/alpha is 1.5903912787125332
960
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3595141592581721
the lambda is 0.5112320586405485
the regulation term lambda/alpha is 1.4220081336864
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31538830833606685
the lambda is 0.46967641081751077
the regulation term lambda/alpha is 1.4892004503763654
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.3032061704455637
the lambda is 0.5200907601386755
the regulation term lambda/alpha is 1.7153040103847434
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3437279059909175
the lambda is 0.5230072425980136
the regulation term lambda/alpha is 1.5215734116502988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34468788352493485
the lambda is 0.5494319892289155
the regulation term lambda/alpha is 1.5939985577972002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35058361222364953
the lambda is 0.5341714508969991
the regulation term lambda/alpha is 1.5236634921664065
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240022052848182
the lambda is 0.5041249243189806
the regulation term lambda/alpha is 1.5559305341018381
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29554831756264327
the lambda is 0.5203286480541822
the regulation term lambda/alpha is 1.7605535783295243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3157497847562293
the lambda is 0.4520405212606646
the regulation term lambda/alpha is 1.4316415816709325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3193607433505322
the lambda is 0.5116190188905442
the regulation term lambda/alpha is 1.602009732075893
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28183995726633415
the lambda is 0.4688366060696629
the regulation term lambda/alpha is 1.6634852297632872
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29430805562753953
the lambda is 0.5202790241720395
the regulation term lambda/alpha is 1.7678042249393158
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3123124567942203
the lambda is 0.44738187844950866
the regulation term lambda/alpha is 1.4324816981100574
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33504428759271754
the lambda is 0.5387123775003735
the regulation term lambda/alpha is 1.6078840841340847
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34108873789776645
the lambda is 0.4822210112954315
the regulation term lambda/alpha is 1.41376995988641
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37055724734016093
the lambda is 0.5503026758150303
the regulation term lambda/alpha is 1.4850679072264055
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29235671338157676
the lambda is 0.5039670566598432
the regulation term lambda/alpha is 1.7238087363572112
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32479818422048046
the lambda is 0.5405590470375375
the regulation term lambda/alpha is 1.664292084436635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32574046025917913
the lambda is 0.5656994188336466
the regulation term lambda/alpha is 1.7366569028101126
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3481340029377165
the lambda is 0.4999210434230853
the regulation term lambda/alpha is 1.4360017671486243
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31812807003502536
the lambda is 0.49798511526629036
the regulation term lambda/alpha is 1.5653605015472638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3156288736519454
the lambda is 0.4926437829799618
the regulation term lambda/alpha is 1.5608324336106736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30999474684693257
the lambda is 0.5118369836185831
the regulation term lambda/alpha is 1.651115023156554
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224491010911434
the lambda is 0.4911048059003156
the regulation term lambda/alpha is 1.5230459760577841
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30314863345044607
the lambda is 0.5145998242267976
the regulation term lambda/alpha is 1.6975165560524166
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3191291065054719
the lambda is 0.5127544252641036
the regulation term lambda/alpha is 1.6067303633907546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3056143018410402
the lambda is 0.4855803404190307
the regulation term lambda/alpha is 1.5888665468005374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34124414662733676
the lambda is 0.5244930211131884
the regulation term lambda/alpha is 1.537002249846567
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2941161479227488
the lambda is 0.5011072773482516
the regulation term lambda/alpha is 1.7037734272239622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3306610592429045
the lambda is 0.588711047743723
the regulation term lambda/alpha is 1.780406344465419
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31044795617390203
the lambda is 0.5243117251902123
the regulation term lambda/alpha is 1.6888876694569421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3516835156241858
the lambda is 0.5074994156483047
the regulation term lambda/alpha is 1.4430571610601903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3365815651513694
the lambda is 0.5219088014853402
the regulation term lambda/alpha is 1.5506161225752944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35875819452831975
the lambda is 0.49211635326966313
the regulation term lambda/alpha is 1.3717215683858515
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.320654201103258
the lambda is 0.5158789701364637
the regulation term lambda/alpha is 1.608832718740332
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3273236425508727
the lambda is 0.5010812102846448
the regulation term lambda/alpha is 1.5308433157460255
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29691142037402396
the lambda is 0.4821688948927689
the regulation term lambda/alpha is 1.6239486318356269
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30455691442056143
the lambda is 0.5388567077786521
the regulation term lambda/alpha is 1.7693136562138498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31401134807966463
the lambda is 0.5036270535550031
the regulation term lambda/alpha is 1.60384985012463
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3475747184895957
the lambda is 0.5190976290320529
the regulation term lambda/alpha is 1.4934850016935037
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32152052735957143
the lambda is 0.5191742603937484
the regulation term lambda/alpha is 1.614746855068235
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3266337333680748
the lambda is 0.49356146645912763
the regulation term lambda/alpha is 1.511054787176395
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3254368532344772
the lambda is 0.5358139036035083
the regulation term lambda/alpha is 1.6464450730706104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3406032942992363
the lambda is 0.5096044243851323
the regulation term lambda/alpha is 1.4961817249407472
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3710762873744915
the lambda is 0.5622001545306268
the regulation term lambda/alpha is 1.515052763162019
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2912474222251558
the lambda is 0.520547083116797
the regulation term lambda/alpha is 1.7873019412146953
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32202318488408427
the lambda is 0.5180964908329088
the regulation term lambda/alpha is 1.6088794694065374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38783159595605415
the lambda is 0.5443433948204431
the regulation term lambda/alpha is 1.4035560807740988
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34569822517372
the lambda is 0.5517904106730431
the regulation term lambda/alpha is 1.5961621162381086
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3340699357863412
the lambda is 0.5208259839582905
the regulation term lambda/alpha is 1.559032789743138
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34495968267282373
the lambda is 0.48243266859635897
the regulation term lambda/alpha is 1.3985189946209489
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32988120034378193
the lambda is 0.5148548908844047
the regulation term lambda/alpha is 1.5607281965381918
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3549380273678849
the lambda is 0.5348509838571253
the regulation term lambda/alpha is 1.5068855479459935
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33172851501976525
the lambda is 0.5034575716427105
the regulation term lambda/alpha is 1.517679514565437
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2964368571219446
the lambda is 0.46263009972144525
the regulation term lambda/alpha is 1.560636231988973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32984348313618833
the lambda is 0.48337851349810135
the regulation term lambda/alpha is 1.4654784411748414
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2918434555251289
the lambda is 0.5127361921799203
the regulation term lambda/alpha is 1.7568877508571425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29908054257825395
the lambda is 0.5106773166576104
the regulation term lambda/alpha is 1.7074909395819104
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32553817663493
the lambda is 0.4672063001530075
the regulation term lambda/alpha is 1.4351812895878848
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3453223230526951
the lambda is 0.5554341333226207
the regulation term lambda/alpha is 1.6084512823049184
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3035529030980033
the lambda is 0.5326944251764593
the regulation term lambda/alpha is 1.7548651972683544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33532831558246484
the lambda is 0.5260956295778393
the regulation term lambda/alpha is 1.568897123000221
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32400219714367323
the lambda is 0.5066621620215276
the regulation term lambda/alpha is 1.5637615006569134
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.2725977390576992
the lambda is 0.5467150368985986
the regulation term lambda/alpha is 2.005574363120006
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33023123616511113
the lambda is 0.5214629239482887
the regulation term lambda/alpha is 1.5790841896239167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31424257338759604
the lambda is 0.484460515481301
the regulation term lambda/alpha is 1.5416768971139794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34494923101177943
the lambda is 0.5353768656454462
the regulation term lambda/alpha is 1.5520453954198377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36348867624593323
the lambda is 0.5213522283297113
the regulation term lambda/alpha is 1.4343011554422371
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3042702553648489
the lambda is 0.532038689253993
the regulation term lambda/alpha is 1.7485727897261207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2973087203315634
the lambda is 0.5158322438764231
the regulation term lambda/alpha is 1.7350054290407586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30910648001694097
the lambda is 0.49423553450739993
the regulation term lambda/alpha is 1.5989167696526865
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3194385517248252
the lambda is 0.48824106969491365
the regulation term lambda/alpha is 1.528435021567154
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34138174567380813
the lambda is 0.47932479303673226
the regulation term lambda/alpha is 1.404072710714677
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29604266320038286
the lambda is 0.5165342500499467
the regulation term lambda/alpha is 1.744796660271629
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27477876355815956
the lambda is 0.5034080479346889
the regulation term lambda/alpha is 1.8320485958083792
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3304607043970556
the lambda is 0.5527595408885956
the regulation term lambda/alpha is 1.6726937077046327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3126491187792188
the lambda is 0.5308173400374421
the regulation term lambda/alpha is 1.6978053292140751
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3151101991361291
the lambda is 0.4675760898721441
the regulation term lambda/alpha is 1.4838494315766309
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27607550292572786
the lambda is 0.4763107386028087
the regulation term lambda/alpha is 1.7252915726135607
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30908517596661433
the lambda is 0.4914648670178313
the regulation term lambda/alpha is 1.5900628863252784
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31909351419821563
the lambda is 0.5030954203763982
the regulation term lambda/alpha is 1.5766394426427721
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35431143103576046
the lambda is 0.5337673107480075
the regulation term lambda/alpha is 1.5064919277022555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3572948665753773
the lambda is 0.5331076995436854
the regulation term lambda/alpha is 1.4920664958146481
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3431774919152962
the lambda is 0.49161004287882654
the regulation term lambda/alpha is 1.4325241440955772
using Bay_non_info_prior option for model regressor
Convergence after  2  iterations
the alpha is 0.33193777615869785
the lambda is 0.5470291087914284
the regulation term lambda/alpha is 1.6479869062263537
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3423780632897142
the lambda is 0.5482978373582066
the regulation term lambda/alpha is 1.6014397420498483
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27321229792459173
the lambda is 0.4764931077121488
the regulation term lambda/alpha is 1.744039749790706
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29567000704089774
the lambda is 0.5108753475156244
the regulation term lambda/alpha is 1.7278565135115613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3056073210175399
the lambda is 0.5366889743742236
the regulation term lambda/alpha is 1.7561391284321395
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2939070668961563
the lambda is 0.5144502612244806
the regulation term lambda/alpha is 1.7503841151470063
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3159318655276673
the lambda is 0.5157966127791631
the regulation term lambda/alpha is 1.6326197799569317
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29681835706976833
the lambda is 0.5027833690953621
the regulation term lambda/alpha is 1.693909278586772
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36235526655288985
the lambda is 0.47870743185498466
the regulation term lambda/alpha is 1.321099694255753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3382243805516083
the lambda is 0.5203650105325314
the regulation term lambda/alpha is 1.5385201081124633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34764464054432415
the lambda is 0.5199556710849808
the regulation term lambda/alpha is 1.4956527742549428
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34460354039941293
the lambda is 0.5386647070115793
the regulation term lambda/alpha is 1.5631432758561903
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33501650963821306
the lambda is 0.5112605879912995
the regulation term lambda/alpha is 1.5260758000953856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3397458938421208
the lambda is 0.5130894288800362
the regulation term lambda/alpha is 1.5102152466880667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3128175711599836
the lambda is 0.5069807123635839
the regulation term lambda/alpha is 1.6206912881639244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3021351071805441
the lambda is 0.5252866766576435
the regulation term lambda/alpha is 1.7385820587335876
970
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3269017323174724
the lambda is 0.47390188179356446
the regulation term lambda/alpha is 1.4496768751697287
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2960078618319787
the lambda is 0.4910545922982449
the regulation term lambda/alpha is 1.6589241557948198
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28299879347191303
the lambda is 0.5183407104045438
the regulation term lambda/alpha is 1.831600425024384
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33464235178000207
the lambda is 0.5426637777447759
the regulation term lambda/alpha is 1.6216231294642875
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30311044769202056
the lambda is 0.548882529771787
the regulation term lambda/alpha is 1.8108334237607224
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27393353809595145
the lambda is 0.4807850822538037
the regulation term lambda/alpha is 1.7551158050804199
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34334464520162117
the lambda is 0.565545018381211
the regulation term lambda/alpha is 1.6471642307079168
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3080655257592687
the lambda is 0.5290649843681321
the regulation term lambda/alpha is 1.7173780904701383
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.300259404743316
the lambda is 0.4989178112973258
the regulation term lambda/alpha is 1.6616225950485637
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.317384897284596
the lambda is 0.5040483037184027
the regulation term lambda/alpha is 1.5881294542708735
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33655494861615864
the lambda is 0.5065429227336552
the regulation term lambda/alpha is 1.5050823790184944
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3314533618657148
the lambda is 0.5114024546187803
the regulation term lambda/alpha is 1.5429092399007562
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.321718636450506
the lambda is 0.50987705894133
the regulation term lambda/alpha is 1.5848539722993966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3041837351449526
the lambda is 0.520687278441842
the regulation term lambda/alpha is 1.7117525307318586
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3355417567188805
the lambda is 0.5144353272240337
the regulation term lambda/alpha is 1.5331484589413762
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3295992406335172
the lambda is 0.5208462516962006
the regulation term lambda/alpha is 1.580241054849188
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32689532960947587
the lambda is 0.4894631676511594
the regulation term lambda/alpha is 1.4973085367597465
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32886741741302744
the lambda is 0.5497520996019826
the regulation term lambda/alpha is 1.6716526797531424
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3213038097862848
the lambda is 0.5565822534661744
the regulation term lambda/alpha is 1.7322616057256994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.297967676571209
the lambda is 0.4621329786262002
the regulation term lambda/alpha is 1.5509500357357004
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3488591850342533
the lambda is 0.5092710276380475
the regulation term lambda/alpha is 1.4598183149113415
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2975618440840047
the lambda is 0.4957502962183166
the regulation term lambda/alpha is 1.6660412148755246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28952422861654625
the lambda is 0.4766290796927268
the regulation term lambda/alpha is 1.646249372531745
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33628948527887487
the lambda is 0.5501497961501165
the regulation term lambda/alpha is 1.63594111690377
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.289260329020628
the lambda is 0.5119594809292966
the regulation term lambda/alpha is 1.7698917880052167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2983825163751079
the lambda is 0.4871619572832136
the regulation term lambda/alpha is 1.632675946303717
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3780236784291789
the lambda is 0.4763170598465451
the regulation term lambda/alpha is 1.2600191126275733
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3466887728557308
the lambda is 0.5465607260226728
the regulation term lambda/alpha is 1.5765169478104664
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32583065717284637
the lambda is 0.5073409759601388
the regulation term lambda/alpha is 1.557069492362117
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.343014438414719
the lambda is 0.5179486347342926
the regulation term lambda/alpha is 1.509990766359726
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31454291530754364
the lambda is 0.4918189770706433
the regulation term lambda/alpha is 1.5635989657874456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31244634998004767
the lambda is 0.5192546420810836
the regulation term lambda/alpha is 1.6619001697867246
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3413992420039544
the lambda is 0.5378414765224405
the regulation term lambda/alpha is 1.5754032532861064
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29938211442889806
the lambda is 0.5069773541768573
the regulation term lambda/alpha is 1.6934122973376962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3004756346417073
the lambda is 0.476814961073238
the regulation term lambda/alpha is 1.5868673067012604
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33786967066098134
the lambda is 0.5853921913212289
the regulation term lambda/alpha is 1.7325976320277998
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3491651460148887
the lambda is 0.5908559094225795
the regulation term lambda/alpha is 1.6921961317335634
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28808813650340426
the lambda is 0.5060787864317537
the regulation term lambda/alpha is 1.7566804123701691
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33246073592232533
the lambda is 0.48635534977928935
the regulation term lambda/alpha is 1.4628956060932239
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.335913912718112
the lambda is 0.5705596821918956
the regulation term lambda/alpha is 1.6985294761241123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3345744649594016
the lambda is 0.5608080285302719
the regulation term lambda/alpha is 1.676182994414479
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33556350711297694
the lambda is 0.5112098119583602
the regulation term lambda/alpha is 1.5234368491274797
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35484437849981726
the lambda is 0.5109930778622737
the regulation term lambda/alpha is 1.4400483953630867
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2937648725967168
the lambda is 0.5434388110676203
the regulation term lambda/alpha is 1.8499108020095316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31521211393449766
the lambda is 0.5139236660222151
the regulation term lambda/alpha is 1.6304058229469267
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3245709228586672
the lambda is 0.5081690479596525
the regulation term lambda/alpha is 1.5656641189048601
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31972221976006016
the lambda is 0.5034478672011776
the regulation term lambda/alpha is 1.5746414733983671
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31351567708071
the lambda is 0.4997200190051411
the regulation term lambda/alpha is 1.5939235436590165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36099761126381297
the lambda is 0.5128386731116673
the regulation term lambda/alpha is 1.4206151428988005
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296865678413447
the lambda is 0.4857477284598295
the regulation term lambda/alpha is 1.4733622047155595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3351874872383034
the lambda is 0.4828903838713099
the regulation term lambda/alpha is 1.4406575491524727
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2802252683513564
the lambda is 0.5178156803450917
the regulation term lambda/alpha is 1.8478550610069753
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30039081468999057
the lambda is 0.5014912558995304
the regulation term lambda/alpha is 1.669462684526754
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3446605764410045
the lambda is 0.5280581652196593
the regulation term lambda/alpha is 1.5321107237515659
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3576847492215389
the lambda is 0.5450505478605058
the regulation term lambda/alpha is 1.5238294309353353
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3133558712127893
the lambda is 0.5105798012166608
the regulation term lambda/alpha is 1.6293928026321978
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3024900156210718
the lambda is 0.4807080219095249
the regulation term lambda/alpha is 1.5891698802769945
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32570713904234666
the lambda is 0.4961613173705518
the regulation term lambda/alpha is 1.5233357144991644
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2787598738827659
the lambda is 0.4885703352044172
the regulation term lambda/alpha is 1.7526566087122293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2878444822496543
the lambda is 0.48203379903614585
the regulation term lambda/alpha is 1.6746327574834892
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3202939257646257
the lambda is 0.4998756816373519
the regulation term lambda/alpha is 1.5606779942642293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3196498363149364
the lambda is 0.5116705081105197
the regulation term lambda/alpha is 1.6007219462687106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2877719321449121
the lambda is 0.5188570470404723
the regulation term lambda/alpha is 1.8030147803962815
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.298710060866514
the lambda is 0.4893203230794499
the regulation term lambda/alpha is 1.6381112897905195
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.27926760938127376
the lambda is 0.5002295576709589
the regulation term lambda/alpha is 1.7912193926794207
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3067281625568627
the lambda is 0.5192731746190005
the regulation term lambda/alpha is 1.6929426052383931
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3260500217068487
the lambda is 0.5274341895363832
the regulation term lambda/alpha is 1.617648073676863
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2760361030430977
the lambda is 0.4464473870253562
the regulation term lambda/alpha is 1.6173514337566635
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30024028714561807
the lambda is 0.5133471593270224
the regulation term lambda/alpha is 1.7097877310450558
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.317539521848924
the lambda is 0.4977038702352341
the regulation term lambda/alpha is 1.567376140573856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.308928039796414
the lambda is 0.467497211384422
the regulation term lambda/alpha is 1.5132883751585204
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29481989261561664
the lambda is 0.5216640960209243
the regulation term lambda/alpha is 1.7694331661027534
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37286846696531367
the lambda is 0.5762228868780152
the regulation term lambda/alpha is 1.5453784321526407
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3022711906416045
the lambda is 0.48953203419730085
the regulation term lambda/alpha is 1.619512706977513
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3567682887269734
the lambda is 0.5423171795390137
the regulation term lambda/alpha is 1.5200823522575926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3719034746059626
the lambda is 0.5358499157585889
the regulation term lambda/alpha is 1.440830625006475
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3771342138044815
the lambda is 0.565679549446276
the regulation term lambda/alpha is 1.4999422718500488
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3294238672103553
the lambda is 0.5075388602990104
the regulation term lambda/alpha is 1.5406863643395905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3583703569725608
the lambda is 0.5630672788508073
the regulation term lambda/alpha is 1.5711882076617165
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34641678744694676
the lambda is 0.5422756283508708
the regulation term lambda/alpha is 1.565384958238837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31351642333887475
the lambda is 0.51899270523005
the regulation term lambda/alpha is 1.65539240242314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36341982656441907
the lambda is 0.4802571853204223
the regulation term lambda/alpha is 1.3214941789514416
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3336104478046487
the lambda is 0.4983597725610998
the regulation term lambda/alpha is 1.4938374257778728
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32235299141556056
the lambda is 0.4936183876017746
the regulation term lambda/alpha is 1.5312976790881636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3135119735169039
the lambda is 0.5220716843839047
the regulation term lambda/alpha is 1.6652368282060388
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3521052702516134
the lambda is 0.5253254196746842
the regulation term lambda/alpha is 1.4919555714099029
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3023091025753579
the lambda is 0.5282159803818101
the regulation term lambda/alpha is 1.7472711733849937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3125707734767091
the lambda is 0.5162141373723764
the regulation term lambda/alpha is 1.6515112133823402
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2841482341006767
the lambda is 0.48974301860606
the regulation term lambda/alpha is 1.7235476410968613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3547331660830201
the lambda is 0.4696364570099964
the regulation term lambda/alpha is 1.3239147108677312
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32268841429405776
the lambda is 0.4881765266892581
the regulation term lambda/alpha is 1.512841816020067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28223104665660664
the lambda is 0.47371089795332627
the regulation term lambda/alpha is 1.6784507004634932
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3588854301691811
the lambda is 0.5634348194224962
the regulation term lambda/alpha is 1.5699573514502638
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30165283268489557
the lambda is 0.5260064200265697
the regulation term lambda/alpha is 1.7437476563531307
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3696774379592341
the lambda is 0.4997508354800738
the regulation term lambda/alpha is 1.3518564677327791
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3271319852720107
the lambda is 0.5095380823220091
the regulation term lambda/alpha is 1.5575917527548628
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3188445228424611
the lambda is 0.47452333546186354
the regulation term lambda/alpha is 1.4882593285013783
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3490014477964907
the lambda is 0.5277072159554789
the regulation term lambda/alpha is 1.512048787439973
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32292854443050906
the lambda is 0.4883797522321974
the regulation term lambda/alpha is 1.512346185108736
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30802476676039303
the lambda is 0.5740068057448571
the regulation term lambda/alpha is 1.8635086125764904
980
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3153582962528244
the lambda is 0.573161720721724
the regulation term lambda/alpha is 1.8174937128091826
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2920165501462337
the lambda is 0.4719783772874033
the regulation term lambda/alpha is 1.6162726977325421
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3669635318275702
the lambda is 0.5361914704322472
the regulation term lambda/alpha is 1.4611573737637622
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33055263709867583
the lambda is 0.46793766446257423
the regulation term lambda/alpha is 1.41562223968247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2971605853490988
the lambda is 0.4982283257260731
the regulation term lambda/alpha is 1.6766299108637293
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3199231383883728
the lambda is 0.4781976434558116
the regulation term lambda/alpha is 1.4947266579865208
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2826435471183437
the lambda is 0.5365771844680131
the regulation term lambda/alpha is 1.8984236149688092
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169798808707849
the lambda is 0.5467301485903445
the regulation term lambda/alpha is 1.7248102532198757
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2904766811721189
the lambda is 0.5136203097782472
the regulation term lambda/alpha is 1.7681980794661687
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2879328381923236
the lambda is 0.5157502376258988
the regulation term lambda/alpha is 1.7912171493319056
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33687016365837696
the lambda is 0.5267759419419876
the regulation term lambda/alpha is 1.563735821009651
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3529450918154784
the lambda is 0.5151825024027932
the regulation term lambda/alpha is 1.4596675640190893
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3224750643207186
the lambda is 0.5160932632533135
the regulation term lambda/alpha is 1.6004129322074694
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3050253493052143
the lambda is 0.5329880776494835
the regulation term lambda/alpha is 1.747356666793504
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31085107874003676
the lambda is 0.47496591807922894
the regulation term lambda/alpha is 1.5279532566024667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3231124360670573
the lambda is 0.4831716641473316
the regulation term lambda/alpha is 1.495366968936647
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33739389080920096
the lambda is 0.5646301611723388
the regulation term lambda/alpha is 1.6735044010967046
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34046837326777013
the lambda is 0.5191044481951399
the regulation term lambda/alpha is 1.5246774412931354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31838155570967575
the lambda is 0.49606436739026893
the regulation term lambda/alpha is 1.558081360223699
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33557563674785146
the lambda is 0.5091480748899798
the regulation term lambda/alpha is 1.5172379014885076
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34371862141348
the lambda is 0.4841398978383157
the regulation term lambda/alpha is 1.4085355511068294
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3172441704123741
the lambda is 0.5041202066430909
the regulation term lambda/alpha is 1.5890605838014404
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2866752181695644
the lambda is 0.48635301362479444
the regulation term lambda/alpha is 1.6965296712083546
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3088289947145816
the lambda is 0.5108334722308748
the regulation term lambda/alpha is 1.6540981610324021
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3416071547132766
the lambda is 0.5450788104158732
the regulation term lambda/alpha is 1.595630544897041
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2978253705315333
the lambda is 0.5183290894576845
the regulation term lambda/alpha is 1.7403792314019957
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33162211958508303
the lambda is 0.498242251797509
the regulation term lambda/alpha is 1.5024397420199131
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3250767314719171
the lambda is 0.5288890058788931
the regulation term lambda/alpha is 1.6269666656365498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3564802057548652
the lambda is 0.5122634812857639
the regulation term lambda/alpha is 1.4370039991449723
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29410700305090515
the lambda is 0.5104233219310937
the regulation term lambda/alpha is 1.735502101739304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33187980028679903
the lambda is 0.5114010108799778
the regulation term lambda/alpha is 1.5409223774331633
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3148525657139975
the lambda is 0.5314681246818665
the regulation term lambda/alpha is 1.6879904519013387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3211821368681396
the lambda is 0.47380225742711224
the regulation term lambda/alpha is 1.4751824682629544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2721376239780295
the lambda is 0.5081157932497605
the regulation term lambda/alpha is 1.8671280575698062
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29430301102874423
the lambda is 0.5109528693264225
the regulation term lambda/alpha is 1.736145571669052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3329498852003615
the lambda is 0.4970953916783145
the regulation term lambda/alpha is 1.4930036434137048
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3641799896484263
the lambda is 0.5634088921463879
the regulation term lambda/alpha is 1.54706164029027
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2839425702497326
the lambda is 0.5387683153291083
the regulation term lambda/alpha is 1.8974552313703856
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31785589336504644
the lambda is 0.5222718399629046
the regulation term lambda/alpha is 1.6431088768994242
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3068601250065256
the lambda is 0.49909974057650813
the regulation term lambda/alpha is 1.6264731058357433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36381136695866756
the lambda is 0.5465114536650291
the regulation term lambda/alpha is 1.5021835580170808
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3341170708812348
the lambda is 0.5747137233025208
the regulation term lambda/alpha is 1.7200968564303272
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3014516270369753
the lambda is 0.4997749828909212
the regulation term lambda/alpha is 1.6578944615535947
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29982212816411774
the lambda is 0.5355588627256199
the regulation term lambda/alpha is 1.7862552907784837
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28738139254445066
the lambda is 0.5036073055885645
the regulation term lambda/alpha is 1.7524005334154302
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3296288535553787
the lambda is 0.49577591864327625
the regulation term lambda/alpha is 1.5040428448415069
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2961610522540266
the lambda is 0.47481522817699784
the regulation term lambda/alpha is 1.6032331887102222
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32386384657568046
the lambda is 0.5126790706778285
the regulation term lambda/alpha is 1.583008032846376
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.349922853585555
the lambda is 0.5240541570366244
the regulation term lambda/alpha is 1.4976276961244397
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3167356975992695
the lambda is 0.5084088959013999
the regulation term lambda/alpha is 1.6051518655931016
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32506763079144646
the lambda is 0.5307659909273853
the regulation term lambda/alpha is 1.6327863516743342
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30113773096062324
the lambda is 0.4729841146803117
the regulation term lambda/alpha is 1.5706570982370824
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3368953457376603
the lambda is 0.5573892170394777
the regulation term lambda/alpha is 1.6544877336284591
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33448551592366077
the lambda is 0.528462705821791
the regulation term lambda/alpha is 1.5799270242314511
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2968729487465105
the lambda is 0.531237603260329
the regulation term lambda/alpha is 1.7894442909109052
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29115452585730445
the lambda is 0.45704179290517266
the regulation term lambda/alpha is 1.5697567865703381
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3529015770684059
the lambda is 0.5443462424674578
the regulation term lambda/alpha is 1.5424874181334205
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31777884836238657
the lambda is 0.5043309021214942
the regulation term lambda/alpha is 1.587049939668636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3231890353672738
the lambda is 0.5141524601745178
the regulation term lambda/alpha is 1.5908722261887136
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3506800906563458
the lambda is 0.527063856534409
the regulation term lambda/alpha is 1.5029762754650167
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3169383576581489
the lambda is 0.4766556120928944
the regulation term lambda/alpha is 1.5039379127691994
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29707060362700993
the lambda is 0.4817159588346452
the regulation term lambda/alpha is 1.6215537752751485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3088054516566106
the lambda is 0.5407283199492641
the regulation term lambda/alpha is 1.751032298971684
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32359060342912516
the lambda is 0.4899983189595051
the regulation term lambda/alpha is 1.5142538558503835
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32076326341604655
the lambda is 0.5651439908581499
the regulation term lambda/alpha is 1.76187255622577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31664130420530606
the lambda is 0.5016917342237576
the regulation term lambda/alpha is 1.5844165860890569
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3182819258393874
the lambda is 0.5253197403425917
the regulation term lambda/alpha is 1.650485615723214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28536906451916866
the lambda is 0.5168931369649115
the regulation term lambda/alpha is 1.8113145439778073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33507405786702205
the lambda is 0.5444559487667813
the regulation term lambda/alpha is 1.6248824281790708
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30006776538683044
the lambda is 0.4926883332914779
the regulation term lambda/alpha is 1.6419235590211827
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33392611159900515
the lambda is 0.5287752288450938
the regulation term lambda/alpha is 1.5835096761767256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2949150395044312
the lambda is 0.5176737329353992
the regulation term lambda/alpha is 1.755331751833636
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34482414547499873
the lambda is 0.5327150851724086
the regulation term lambda/alpha is 1.544889162093299
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3207834535991064
the lambda is 0.4636606781274422
the regulation term lambda/alpha is 1.445400855079309
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3025895597771746
the lambda is 0.5113323696539194
the regulation term lambda/alpha is 1.6898546335520033
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32318123875209226
the lambda is 0.49971977927630795
the regulation term lambda/alpha is 1.5462524409086627
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.38037957310043125
the lambda is 0.5218982374053144
the regulation term lambda/alpha is 1.372045909698516
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3545337642355583
the lambda is 0.5484952203751836
the regulation term lambda/alpha is 1.5470888127054494
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28474665576869296
the lambda is 0.5090749896469299
the regulation term lambda/alpha is 1.7878172731217767
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30684392615535744
the lambda is 0.49222499076703463
the regulation term lambda/alpha is 1.6041542582720616
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3000635120751979
the lambda is 0.5106094122365119
the regulation term lambda/alpha is 1.7016711185748896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29140012569733476
the lambda is 0.4795875796001083
the regulation term lambda/alpha is 1.6458042989941468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30448917402471815
the lambda is 0.5192670123262423
the regulation term lambda/alpha is 1.7053710168496456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3079004653239969
the lambda is 0.48380484650952243
the regulation term lambda/alpha is 1.571302745516884
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3459717293931776
the lambda is 0.46377930601294737
the regulation term lambda/alpha is 1.3405121477017794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29138153132576833
the lambda is 0.47027160955548236
the regulation term lambda/alpha is 1.6139376006975288
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3423339292328107
the lambda is 0.5726232798824268
the regulation term lambda/alpha is 1.6727038455279828
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30140358700122516
the lambda is 0.5129939808115352
the regulation term lambda/alpha is 1.7020168403286122
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33728426751085255
the lambda is 0.5302516292053635
the regulation term lambda/alpha is 1.5721208496281316
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3265541774892289
the lambda is 0.4972034251495068
the regulation term lambda/alpha is 1.5225756074301227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2855218915971262
the lambda is 0.47040695987851106
the regulation term lambda/alpha is 1.6475337748961794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.307992658203952
the lambda is 0.47895082207226325
the regulation term lambda/alpha is 1.5550722048546468
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29940828398486763
the lambda is 0.530977543882513
the regulation term lambda/alpha is 1.7734230222880174
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33222825118185345
the lambda is 0.4800044390121855
the regulation term lambda/alpha is 1.4448031957084921
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33123398093182027
the lambda is 0.5210495052853227
the regulation term lambda/alpha is 1.5730557107079337
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3085288616399067
the lambda is 0.5108148734187378
the regulation term lambda/alpha is 1.6556469650963321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32637686377041725
the lambda is 0.5475310956804701
the regulation term lambda/alpha is 1.6776038882021338
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32248773480780946
the lambda is 0.5512256765461083
the regulation term lambda/alpha is 1.709291911131498
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3395802341524083
the lambda is 0.540471527183515
the regulation term lambda/alpha is 1.5915871208833194
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3094707841017492
the lambda is 0.5436228658380867
the regulation term lambda/alpha is 1.7566209599267113
990
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.279938294542859
the lambda is 0.5439888238383717
the regulation term lambda/alpha is 1.9432454738881253
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29101845542944416
the lambda is 0.5054912407648394
the regulation term lambda/alpha is 1.7369731415105838
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33322214931918026
the lambda is 0.514645894645838
the regulation term lambda/alpha is 1.5444528393365566
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3073728718677751
the lambda is 0.5172211998187917
the regulation term lambda/alpha is 1.6827158385053855
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33524413431115535
the lambda is 0.5033701529997449
the regulation term lambda/alpha is 1.5015032374363457
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33308757674918993
the lambda is 0.49717948999164435
the regulation term lambda/alpha is 1.4926389475222406
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31320160153216015
the lambda is 0.5125113758027217
the regulation term lambda/alpha is 1.6363625642255728
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3223111122472375
the lambda is 0.5443963699109514
the regulation term lambda/alpha is 1.6890400275537425
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3240429233721588
the lambda is 0.49699123319180954
the regulation term lambda/alpha is 1.5337203726588469
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3090667370281278
the lambda is 0.5255808911656582
the regulation term lambda/alpha is 1.7005417542484544
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.283930704552796
the lambda is 0.4905137193408629
the regulation term lambda/alpha is 1.727582510364438
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31094533610493985
the lambda is 0.49942807556532004
the regulation term lambda/alpha is 1.6061603683187897
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3321885178681982
the lambda is 0.47933259195393385
the regulation term lambda/alpha is 1.442953522385496
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30132528247773904
the lambda is 0.5074129743240107
the regulation term lambda/alpha is 1.68393760441093
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.370553365060545
the lambda is 0.5876353907943453
the regulation term lambda/alpha is 1.5858320182798264
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26901635601041984
the lambda is 0.47231492071331127
the regulation term lambda/alpha is 1.7557107966142291
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29460887076820136
the lambda is 0.5172778432040984
the regulation term lambda/alpha is 1.7558121785514507
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3181851208373888
the lambda is 0.4833047825225946
the regulation term lambda/alpha is 1.5189421216512244
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3494885832290992
the lambda is 0.55470115716717
the regulation term lambda/alpha is 1.5871796212683387
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33421723009194426
the lambda is 0.5036434810552951
the regulation term lambda/alpha is 1.506934519554067
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31091020928803337
the lambda is 0.49079371710635716
the regulation term lambda/alpha is 1.5785706047744354
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3005242064472767
the lambda is 0.4816509296402723
the regulation term lambda/alpha is 1.6027026086658085
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3039521522504585
the lambda is 0.5082704020535785
the regulation term lambda/alpha is 1.6722053069548937
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34320792238850184
the lambda is 0.5164425248266571
the regulation term lambda/alpha is 1.504751176000123
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3438566382051768
the lambda is 0.537495952892201
the regulation term lambda/alpha is 1.56313967267801
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.348607443100545
the lambda is 0.5543944159207852
the regulation term lambda/alpha is 1.5903114718089577
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2976908764197743
the lambda is 0.4782301408158311
the regulation term lambda/alpha is 1.6064655610791314
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3356404732920158
the lambda is 0.5197911112645488
the regulation term lambda/alpha is 1.5486544461290794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32136406552763724
the lambda is 0.5187769255268975
the regulation term lambda/alpha is 1.614296622353014
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28290958433459656
the lambda is 0.5113638524003684
the regulation term lambda/alpha is 1.8075168913174022
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3180828577023511
the lambda is 0.5358632792316862
the regulation term lambda/alpha is 1.6846656971785794
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3361615248018592
the lambda is 0.499530356182274
the regulation term lambda/alpha is 1.4859831340802845
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28279242421273354
the lambda is 0.5092902166150355
the regulation term lambda/alpha is 1.8009330272296002
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.29108322599508313
the lambda is 0.5241200188835353
the regulation term lambda/alpha is 1.8005847540400304
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3128028984667132
the lambda is 0.5169065818506535
the regulation term lambda/alpha is 1.6524993354742201
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3232813533294419
the lambda is 0.5042788281682129
the regulation term lambda/alpha is 1.5598760119465485
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3144668060728275
the lambda is 0.5145574239491804
the regulation term lambda/alpha is 1.636285337632786
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.37256581223458374
the lambda is 0.5531123080001709
the regulation term lambda/alpha is 1.4846029609713818
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.358908511626651
the lambda is 0.5456626058005835
the regulation term lambda/alpha is 1.5203389948249555
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34976147234042293
the lambda is 0.5215388943248312
the regulation term lambda/alpha is 1.4911273412562072
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31423132671024734
the lambda is 0.540740179764373
the regulation term lambda/alpha is 1.720834728432374
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.344537156354994
the lambda is 0.5355994708324083
the regulation term lambda/alpha is 1.554547777948667
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30273770386831533
the lambda is 0.5002205369036038
the regulation term lambda/alpha is 1.6523232174648106
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28699101412832756
the lambda is 0.4601322957385804
the regulation term lambda/alpha is 1.6032986159379645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3542478291058381
the lambda is 0.553570027137971
the regulation term lambda/alpha is 1.5626631461235623
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2854120186890948
the lambda is 0.4837275337643224
the regulation term lambda/alpha is 1.6948393973950227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33861399665592795
the lambda is 0.5336931353500843
the regulation term lambda/alpha is 1.5761106765246327
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3019746772173178
the lambda is 0.5142159672158912
the regulation term lambda/alpha is 1.7028446621894484
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31076242057389286
the lambda is 0.565462358534646
the regulation term lambda/alpha is 1.8195969689333487
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3505176983341966
the lambda is 0.5260582280145064
the regulation term lambda/alpha is 1.5008036128119926
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34052212173101465
the lambda is 0.5219775956019829
the regulation term lambda/alpha is 1.5328742607045764
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3178473334991759
the lambda is 0.4937176744521208
the regulation term lambda/alpha is 1.5533170249276322
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30114472787268093
the lambda is 0.5214778859941934
the regulation term lambda/alpha is 1.7316520520813028
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3246803052236321
the lambda is 0.5540552859564319
the regulation term lambda/alpha is 1.706464103434952
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31449389771347414
the lambda is 0.48758983386484506
the regulation term lambda/alpha is 1.550395214056183
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33200870431757856
the lambda is 0.5266659104394874
the regulation term lambda/alpha is 1.586301514359431
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3105310598759975
the lambda is 0.5731276770493129
the regulation term lambda/alpha is 1.8456372038216613
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.34857768685541884
the lambda is 0.5165301922808759
the regulation term lambda/alpha is 1.4818223075050685
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.36617370900407203
the lambda is 0.5353894551455274
the regulation term lambda/alpha is 1.4621187758173364
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3276357427216174
the lambda is 0.5268152929556013
the regulation term lambda/alpha is 1.6079298570401124
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.332890667499208
the lambda is 0.5441549918664998
the regulation term lambda/alpha is 1.6346357678164543
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2889824532264361
the lambda is 0.5911976896690215
the regulation term lambda/alpha is 2.0457909574384456
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.28687833247794153
the lambda is 0.5084314919585092
the regulation term lambda/alpha is 1.772289623851614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31540986267296955
the lambda is 0.5146191361703882
the regulation term lambda/alpha is 1.6315885997007247
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2848730850357447
the lambda is 0.46799214494297603
the regulation term lambda/alpha is 1.6428092702553991
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30307937260909656
the lambda is 0.4900842278525049
the regulation term lambda/alpha is 1.6170161091253215
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3956104519837693
the lambda is 0.566924406588816
the regulation term lambda/alpha is 1.4330369780323073
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31669314756220324
the lambda is 0.47855882450469145
the regulation term lambda/alpha is 1.511112028120834
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2894013481915095
the lambda is 0.4993026437093156
the regulation term lambda/alpha is 1.7252948088510813
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31468976178678454
the lambda is 0.5610826769491927
the regulation term lambda/alpha is 1.7829708655388339
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3213004282805615
the lambda is 0.5036498240930217
the regulation term lambda/alpha is 1.567535489411896
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3171041313297588
the lambda is 0.5016888611498727
the regulation term lambda/alpha is 1.5820950015569584
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32632083310503124
the lambda is 0.5086153400214412
the regulation term lambda/alpha is 1.5586358222422645
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3687079609645561
the lambda is 0.5342111468791899
the regulation term lambda/alpha is 1.448873372524071
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2943507003151837
the lambda is 0.4696461955127209
the regulation term lambda/alpha is 1.595532794757529
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3519988813171215
the lambda is 0.5491308349855747
the regulation term lambda/alpha is 1.5600357391217214
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32532218102121485
the lambda is 0.5047922169727882
the regulation term lambda/alpha is 1.5516686116765883
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3851549068415307
the lambda is 0.524962116979138
the regulation term lambda/alpha is 1.3629895599256379
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2928666704678015
the lambda is 0.5495426030105901
the regulation term lambda/alpha is 1.876425890774103
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.343174810601897
the lambda is 0.5403608060607564
the regulation term lambda/alpha is 1.5745934414971
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3243989937610218
the lambda is 0.5456338458349871
the regulation term lambda/alpha is 1.6819837802485433
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.33706861338411953
the lambda is 0.5437676845766343
the regulation term lambda/alpha is 1.6132255065735321
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3093798923603294
the lambda is 0.5036497534793167
the regulation term lambda/alpha is 1.6279330554964593
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31862725223294047
the lambda is 0.5230740186447135
the regulation term lambda/alpha is 1.6416487132817725
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.39121024190533304
the lambda is 0.4928491114698592
the regulation term lambda/alpha is 1.2598062593389905
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30401691799170294
the lambda is 0.499400576446689
the regulation term lambda/alpha is 1.6426736371964614
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3387053768869163
the lambda is 0.5248880000688804
the regulation term lambda/alpha is 1.5496890096436966
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.32984607955841033
the lambda is 0.542573035522431
the regulation term lambda/alpha is 1.644927950178502
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30101465169871305
the lambda is 0.5076612342251524
the regulation term lambda/alpha is 1.6865000801797279
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.331145302489894
the lambda is 0.5433539172138118
the regulation term lambda/alpha is 1.6408323268616924
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2814599947918942
the lambda is 0.5149782147370405
the regulation term lambda/alpha is 1.8296675345205096
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.30637293216475275
the lambda is 0.4966389152906581
the regulation term lambda/alpha is 1.621027392274946
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3426986414012976
the lambda is 0.506319752856894
the regulation term lambda/alpha is 1.4774489644503648
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.35788104656601843
the lambda is 0.5124845829571834
the regulation term lambda/alpha is 1.4319969941818227
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2729222746324024
the lambda is 0.46796348852931685
the regulation term lambda/alpha is 1.7146401449262962
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2934369825247584
the lambda is 0.47273037989896843
the regulation term lambda/alpha is 1.61101159039857
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.31344218570854127
the lambda is 0.4974239552617135
the regulation term lambda/alpha is 1.5869719455193256
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.26869923389552675
the lambda is 0.4807016545874123
the regulation term lambda/alpha is 1.788995255469595
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.2995332207167099
the lambda is 0.5594684507179768
the regulation term lambda/alpha is 1.8678010051082325
using Bay_non_info_prior option for model regressor
Convergence after  3  iterations
the alpha is 0.3390565671921661
the lambda is 0.5193204036052164
the regulation term lambda/alpha is 1.5316630139503615
1000
In [20]:
n=10 #number of samples
inconsistency_non_Bay=np.array([])
ken_w_non_Bay=np.array([])
while n<=1000:

    k=100#number of explanations 
    m=13# number of features
    i=1
    instance=3
    explanations=np.array([])
    while i<=k:
        exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                         model_regressor='non_Bay',
                                         num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
        temp_list=exp.as_list()
        temp_array = np.array(temp_list)
        explanations=np.append(explanations,temp_array)
        i=i+1
    exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance.. 
    for exp in exps:
    #print(exp)
        i=1
        temp_vector=np.array([])
        while i<=(2*m-1):
            temp_vector=np.append(temp_vector,float(exp[i]))
            i=i+2
    #print(temp_vector)
        normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
    #print(normlised_temp_vector)
        i=1
        while i<=(2*m-1):
            exp[i]=normlised_temp_vector[math.floor(i/2)]
            i=i+2
    feature_names=np.array([])
    i=0
    while i<=(2*m-1):
        feature_names=np.append(feature_names,exps[0,i])
        i=i+2
    
    g_i_s=np.array([])
    f_i_s=np.array([])
    for feature in feature_names:
        g_i=importance_in_k_exp(feature,exps)
        f_i=rankings_in_k_exp(feature,exps)
        g_i_s=np.append(g_i_s,g_i)
        f_i_s=np.append(f_i_s,f_i)
    g_i_s=g_i_s.reshape(m,k)
    f_i_s=f_i_s.reshape(m,k)
    IoD_f_i_s=np.array([])
    for f_i in f_i_s:
        if np.mean(f_i)==0:
            IoD_f_i=0
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
        else:
            IoD_f_i=np.var(f_i)/np.mean(f_i)
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
    weights_g_i_s=np.array([])
    for g_i in g_i_s:
        weight=np.mean(abs(g_i.astype(np.float)))
        weights_g_i_s=np.append(weights_g_i_s,weight)
    weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
    inconsistency_non_Bay=np.append(inconsistency_non_Bay,np.dot(weights_g_i_s,IoD_f_i_s))
    ken_w_non_Bay=np.append(ken_w_non_Bay,kendall_w(f_i_s.T))
    
    print(n)
    n=n+10
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
40
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
50
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
60
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
70
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
80
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
90
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
100
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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340
using non_Bay option for model regressor
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350
using non_Bay option for model regressor
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360
using non_Bay option for model regressor
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370
using non_Bay option for model regressor
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380
using non_Bay option for model regressor
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390
using non_Bay option for model regressor
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400
using non_Bay option for model regressor
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using non_Bay option for model regressor
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420
using non_Bay option for model regressor
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430
using non_Bay option for model regressor
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440
using non_Bay option for model regressor
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using non_Bay option for model regressor
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460
using non_Bay option for model regressor
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470
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
480
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
490
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
500
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
510
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
520
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
530
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
540
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
550
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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780
using non_Bay option for model regressor
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790
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
800
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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810
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
820
using non_Bay option for model regressor
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830
using non_Bay option for model regressor
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840
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
850
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
860
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
870
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
880
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
890
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
900
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
910
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
920
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
930
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
940
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
950
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
960
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
970
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
980
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
990
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
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using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
using non_Bay option for model regressor
1000
In [21]:
n=10 #number of samples
inconsistency_info_prior_fit_alpha=np.array([])
ken_w_info_prior_fit_alpha=np.array([])
while n<=1000:

    k=100#number of explanations 
    m=13# number of features
    i=1
    instance=3
    explanations=np.array([])
    while i<=k:
        exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                         model_regressor='BayesianRidge_inf_prior_fit_alpha',
                                         num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
        
        alpha_init=1
        lambda_init=1
        with open('.\posterior_configure.csv') as csv_file:
            csv_reader=csv.reader(csv_file)
            line_count = 0
            for row in csv_reader:
                if line_count == 1:
                    alpha_init=float(row[0])
                    lambda_init=float(row[1])
                line_count=line_count+1

        exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
                                        label=1)
        
        temp_list=exp.as_list()
        temp_array = np.array(temp_list)
        explanations=np.append(explanations,temp_array)
        i=i+1
    exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance.. 
    for exp in exps:
    #print(exp)
        i=1
        temp_vector=np.array([])
        while i<=(2*m-1):
            temp_vector=np.append(temp_vector,float(exp[i]))
            i=i+2
    #print(temp_vector)
        normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
    #print(normlised_temp_vector)
        i=1
        while i<=(2*m-1):
            exp[i]=normlised_temp_vector[math.floor(i/2)]
            i=i+2
    feature_names=np.array([])
    i=0
    while i<=(2*m-1):
        feature_names=np.append(feature_names,exps[0,i])
        i=i+2
    
    g_i_s=np.array([])
    f_i_s=np.array([])
    for feature in feature_names:
        g_i=importance_in_k_exp(feature,exps)
        f_i=rankings_in_k_exp(feature,exps)
        g_i_s=np.append(g_i_s,g_i)
        f_i_s=np.append(f_i_s,f_i)
    g_i_s=g_i_s.reshape(m,k)
    f_i_s=f_i_s.reshape(m,k)
    IoD_f_i_s=np.array([])
    for f_i in f_i_s:
        if np.mean(f_i)==0:
            IoD_f_i=0
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
        else:
            IoD_f_i=np.var(f_i)/np.mean(f_i)
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
    weights_g_i_s=np.array([])
    for g_i in g_i_s:
        weight=np.mean(abs(g_i.astype(np.float)))
        weights_g_i_s=np.append(weights_g_i_s,weight)
    weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
    inconsistency_info_prior_fit_alpha=np.append(inconsistency_info_prior_fit_alpha,np.dot(weights_g_i_s,IoD_f_i_s))
    
    ken_w_info_prior_fit_alpha=np.append(ken_w_info_prior_fit_alpha,kendall_w(f_i_s.T))
    
    print(n)
    n=n+10
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  42  iterations
the alpha is 4.842540006900277
the lambda is 2.0
the regulation term lambda/alpha is 0.4130063968805919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  17  iterations
the alpha is 0.5318126253773965
the lambda is 2.0
the regulation term lambda/alpha is 3.7607230527494835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.06473088609530245
the lambda is 2.0
the regulation term lambda/alpha is 30.89715158626789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.09766596287672874
the lambda is 2.0
the regulation term lambda/alpha is 20.477963264687663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.10764340303732868
the lambda is 2.0
the regulation term lambda/alpha is 18.579865960819152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  17  iterations
the alpha is 0.8125633385194625
the lambda is 2.0
the regulation term lambda/alpha is 2.4613465870169775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.14515407811835332
the lambda is 2.0
the regulation term lambda/alpha is 13.778462347914699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.11078486009758126
the lambda is 2.0
the regulation term lambda/alpha is 18.05300831032656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.07495144150716672
the lambda is 2.0
the regulation term lambda/alpha is 26.683943094126665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3693374683624198
the lambda is 2.0
the regulation term lambda/alpha is 5.415101827788184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.0855526216615694
the lambda is 2.0
the regulation term lambda/alpha is 23.377425041533336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 4.8285503035599815
the lambda is 2.0
the regulation term lambda/alpha is 0.41420299557104023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  18  iterations
the alpha is 0.2593406572770986
the lambda is 2.0
the regulation term lambda/alpha is 7.711864468142584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.10301690157722372
the lambda is 2.0
the regulation term lambda/alpha is 19.414289979404558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.14729661924881868
the lambda is 2.0
the regulation term lambda/alpha is 13.578044154710225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.17414091363345857
the lambda is 2.0
the regulation term lambda/alpha is 11.4849518029388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 2.351974568636034
the lambda is 2.0
the regulation term lambda/alpha is 0.8503493305881481
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.43850657827702205
the lambda is 2.0
the regulation term lambda/alpha is 4.5609349986456085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.16743298073959484
the lambda is 2.0
the regulation term lambda/alpha is 11.94507791216212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.11506264548907667
the lambda is 2.0
the regulation term lambda/alpha is 17.381835707835062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  20  iterations
the alpha is 0.44669595951790037
the lambda is 2.0
the regulation term lambda/alpha is 4.477318313240428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  23  iterations
the alpha is 0.5207866658343383
the lambda is 2.0
the regulation term lambda/alpha is 3.8403441009685872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23168653982106988
the lambda is 2.0
the regulation term lambda/alpha is 8.632353012585833
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.09465636040119262
the lambda is 2.0
the regulation term lambda/alpha is 21.129060863138797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.12296520157341727
the lambda is 2.0
the regulation term lambda/alpha is 16.26476413171157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.056797888303892465
the lambda is 2.0
the regulation term lambda/alpha is 35.212576729951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20229938493275587
the lambda is 2.0
the regulation term lambda/alpha is 9.886337522305361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.0743083959022636
the lambda is 2.0
the regulation term lambda/alpha is 26.91485902387883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.11284600560056672
the lambda is 2.0
the regulation term lambda/alpha is 17.723268000103282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.07784051759617067
the lambda is 2.0
the regulation term lambda/alpha is 25.693559880675682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2446977356593437
the lambda is 2.0
the regulation term lambda/alpha is 8.173349028387834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  24  iterations
the alpha is 499983.21351163264
the lambda is 2.0
the regulation term lambda/alpha is 4.0001342964156695e-06
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36087068399244066
the lambda is 2.0
the regulation term lambda/alpha is 5.542151492809804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.16457195052828086
the lambda is 2.0
the regulation term lambda/alpha is 12.152739233994254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.06104533790756828
the lambda is 2.0
the regulation term lambda/alpha is 32.76253467592066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.3848661738137587
the lambda is 2.0
the regulation term lambda/alpha is 5.196611539490149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.11518469956498759
the lambda is 2.0
the regulation term lambda/alpha is 17.36341725553222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  30  iterations
the alpha is 499722.8872009795
the lambda is 2.0
the regulation term lambda/alpha is 4.0022181317375525e-06
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.6651625475144302
the lambda is 2.0
the regulation term lambda/alpha is 3.0067838417445047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.05788749113386372
the lambda is 2.0
the regulation term lambda/alpha is 34.54977855880881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  19  iterations
the alpha is 1.3270941546370538
the lambda is 2.0
the regulation term lambda/alpha is 1.5070520754022754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2939332562981777
the lambda is 2.0
the regulation term lambda/alpha is 6.80426578873103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.18882032482914968
the lambda is 2.0
the regulation term lambda/alpha is 10.592080072998817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.08394492122033158
the lambda is 2.0
the regulation term lambda/alpha is 23.825145951957808
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.32904180511016173
the lambda is 2.0
the regulation term lambda/alpha is 6.078255008753094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.13706218420419797
the lambda is 2.0
the regulation term lambda/alpha is 14.591916885115156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3151026672514458
the lambda is 2.0
the regulation term lambda/alpha is 6.34713764071073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.29492722543904376
the lambda is 2.0
the regulation term lambda/alpha is 6.7813339274551465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.594647578119418
the lambda is 2.0
the regulation term lambda/alpha is 3.3633366612288746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.046382288126621575
the lambda is 2.0
the regulation term lambda/alpha is 43.119908067926474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.11911668553879291
the lambda is 2.0
the regulation term lambda/alpha is 16.79025898809665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.07238130985050838
the lambda is 2.0
the regulation term lambda/alpha is 27.631442483296713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2127241428386509
the lambda is 2.0
the regulation term lambda/alpha is 9.401847732520796
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.6372275970799254
the lambda is 2.0
the regulation term lambda/alpha is 3.138596019954149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.10426407312492571
the lambda is 2.0
the regulation term lambda/alpha is 19.182062814711518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.8594933276024542
the lambda is 2.0
the regulation term lambda/alpha is 2.326952328506115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.12513485240508493
the lambda is 2.0
the regulation term lambda/alpha is 15.982757493696687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.05888668454471216
the lambda is 2.0
the regulation term lambda/alpha is 33.96353548282069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.09667820688546686
the lambda is 2.0
the regulation term lambda/alpha is 20.687185503650976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.13443653043677398
the lambda is 2.0
the regulation term lambda/alpha is 14.876908779943616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  20  iterations
the alpha is 0.3752850799628267
the lambda is 2.0
the regulation term lambda/alpha is 5.329281942671708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.0867001243653774
the lambda is 2.0
the regulation term lambda/alpha is 23.068017660176213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.12612872302929024
the lambda is 2.0
the regulation term lambda/alpha is 15.856816369539793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3505052197379697
the lambda is 2.0
the regulation term lambda/alpha is 5.706049118170502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.8983655499478536
the lambda is 2.0
the regulation term lambda/alpha is 2.2262652437152024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.295500026982335
the lambda is 2.0
the regulation term lambda/alpha is 6.768188891297664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.13133113132204774
the lambda is 2.0
the regulation term lambda/alpha is 15.228681728901257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.5262272296788609
the lambda is 2.0
the regulation term lambda/alpha is 3.800639509324772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.16619613705203082
the lambda is 2.0
the regulation term lambda/alpha is 12.033974047025307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.11111150714730696
the lambda is 2.0
the regulation term lambda/alpha is 17.999935842364952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.11252545324371983
the lambda is 2.0
the regulation term lambda/alpha is 17.773756446625306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22298143527320538
the lambda is 2.0
the regulation term lambda/alpha is 8.96935656347141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  19  iterations
the alpha is 1.3753206565834586
the lambda is 2.0
the regulation term lambda/alpha is 1.4542063266673797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.21339537911788742
the lambda is 2.0
the regulation term lambda/alpha is 9.372274171387408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23985508857180457
the lambda is 2.0
the regulation term lambda/alpha is 8.338368020077535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.4573323472925923
the lambda is 2.0
the regulation term lambda/alpha is 4.3731872714449365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.4180353898346047
the lambda is 2.0
the regulation term lambda/alpha is 4.784283935365611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1860795218747997
the lambda is 2.0
the regulation term lambda/alpha is 10.74809296503709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.23429441201196854
the lambda is 2.0
the regulation term lambda/alpha is 8.536268461655984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.08462273840423115
the lambda is 2.0
the regulation term lambda/alpha is 23.63430961600741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.13513982708206257
the lambda is 2.0
the regulation term lambda/alpha is 14.799486155813387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2244517301530729
the lambda is 2.0
the regulation term lambda/alpha is 8.910601841367088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.380761769109686
the lambda is 2.0
the regulation term lambda/alpha is 5.2526281844852445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.07847116485435136
the lambda is 2.0
the regulation term lambda/alpha is 25.487069087252074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.08925788152759773
the lambda is 2.0
the regulation term lambda/alpha is 22.406984859724886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  18  iterations
the alpha is 0.44203427292097686
the lambda is 2.0
the regulation term lambda/alpha is 4.524536042836531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.08050694776157034
the lambda is 2.0
the regulation term lambda/alpha is 24.842576393818916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.15360805934833324
the lambda is 2.0
the regulation term lambda/alpha is 13.020150169755409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  29  iterations
the alpha is 1.3279377901471612
the lambda is 2.0
the regulation term lambda/alpha is 1.5060946490410227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.23866609180426515
the lambda is 2.0
the regulation term lambda/alpha is 8.379908452350408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.13748954997567436
the lambda is 2.0
the regulation term lambda/alpha is 14.546560086594612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 1.8155634147501272
the lambda is 2.0
the regulation term lambda/alpha is 1.1015864187124835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.6779890045135866
the lambda is 2.0
the regulation term lambda/alpha is 2.949900347476684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.5202506304775699
the lambda is 2.0
the regulation term lambda/alpha is 3.8443009634876897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.28037104601669943
the lambda is 2.0
the regulation term lambda/alpha is 7.133404209937128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.09841647342320742
the lambda is 2.0
the regulation term lambda/alpha is 20.321801121644167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.07099755786425158
the lambda is 2.0
the regulation term lambda/alpha is 28.169983027078633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.16994861260403704
the lambda is 2.0
the regulation term lambda/alpha is 11.768263178822156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.21855763223759153
the lambda is 2.0
the regulation term lambda/alpha is 9.150904406878926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.08237719720201231
the lambda is 2.0
the regulation term lambda/alpha is 24.27856333950561
10
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.19086117860987442
the lambda is 2.0
the regulation term lambda/alpha is 10.478820337204644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.4173507253153329
the lambda is 2.0
the regulation term lambda/alpha is 4.792132560663176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.20831510469539952
the lambda is 2.0
the regulation term lambda/alpha is 9.600840049138158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.20821609043650585
the lambda is 2.0
the regulation term lambda/alpha is 9.605405594770241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1319149258968979
the lambda is 2.0
the regulation term lambda/alpha is 15.161286612579083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18507557290980217
the lambda is 2.0
the regulation term lambda/alpha is 10.806396373954295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.09567564987585399
the lambda is 2.0
the regulation term lambda/alpha is 20.90396043920416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.113235585330488
the lambda is 2.0
the regulation term lambda/alpha is 17.662292239341763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.32214869092835985
the lambda is 2.0
the regulation term lambda/alpha is 6.208313292338551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16914066828045235
the lambda is 2.0
the regulation term lambda/alpha is 11.82447734381537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18794137640996836
the lambda is 2.0
the regulation term lambda/alpha is 10.641616222056786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.35590282599836204
the lambda is 2.0
the regulation term lambda/alpha is 5.619511433745133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.151419551822365
the lambda is 2.0
the regulation term lambda/alpha is 13.208333903578465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.47058003040187246
the lambda is 2.0
the regulation term lambda/alpha is 4.250074101725082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.2629736812922701
the lambda is 2.0
the regulation term lambda/alpha is 7.605323811005981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.0993897517661034
the lambda is 2.0
the regulation term lambda/alpha is 20.12279902566468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1240968319294582
the lambda is 2.0
the regulation term lambda/alpha is 16.116446881874335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.08730851329248722
the lambda is 2.0
the regulation term lambda/alpha is 22.907273581671415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.26930833796167525
the lambda is 2.0
the regulation term lambda/alpha is 7.426431781271534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17634284215791485
the lambda is 2.0
the regulation term lambda/alpha is 11.341543413534199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.30778093644012877
the lambda is 2.0
the regulation term lambda/alpha is 6.4981282568455985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26130345202221533
the lambda is 2.0
the regulation term lambda/alpha is 7.653936388984119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2565657021908048
the lambda is 2.0
the regulation term lambda/alpha is 7.795274204315213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2275448766488783
the lambda is 2.0
the regulation term lambda/alpha is 8.789474979417689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  19  iterations
the alpha is 0.5209842689144779
the lambda is 2.0
the regulation term lambda/alpha is 3.8388875045444215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.21792346854339417
the lambda is 2.0
the regulation term lambda/alpha is 9.177533807478603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.06651437139675731
the lambda is 2.0
the regulation term lambda/alpha is 30.06868978840719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.47364664957041613
the lambda is 2.0
the regulation term lambda/alpha is 4.222557051367179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.11891416143919188
the lambda is 2.0
the regulation term lambda/alpha is 16.818854674619413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1472967008127656
the lambda is 2.0
the regulation term lambda/alpha is 13.57803663601587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19252020150413915
the lambda is 2.0
the regulation term lambda/alpha is 10.388520188396958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.16786384720620556
the lambda is 2.0
the regulation term lambda/alpha is 11.914417745610113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.08471560345697468
the lambda is 2.0
the regulation term lambda/alpha is 23.608401739306018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.22875809498121774
the lambda is 2.0
the regulation term lambda/alpha is 8.74286000748612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.05475857463664937
the lambda is 2.0
the regulation term lambda/alpha is 36.52396018835413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.17167474341714922
the lambda is 2.0
the regulation term lambda/alpha is 11.649937318620234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.17828758246137189
the lambda is 2.0
the regulation term lambda/alpha is 11.21783117135106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.17374061855733006
the lambda is 2.0
the regulation term lambda/alpha is 11.511412913152776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20491179782045046
the lambda is 2.0
the regulation term lambda/alpha is 9.760296973005218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.27881974313511365
the lambda is 2.0
the regulation term lambda/alpha is 7.173093187417568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2777311100770341
the lambda is 2.0
the regulation term lambda/alpha is 7.20120983005923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21336249803259608
the lambda is 2.0
the regulation term lambda/alpha is 9.373718523366996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1314752131948575
the lambda is 2.0
the regulation term lambda/alpha is 15.211992826631352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1964418433025115
the lambda is 2.0
the regulation term lambda/alpha is 10.181130284549871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.11675851696268086
the lambda is 2.0
the regulation term lambda/alpha is 17.12937139000535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.21008534065532883
the lambda is 2.0
the regulation term lambda/alpha is 9.519940771504134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.3423447607911538
the lambda is 2.0
the regulation term lambda/alpha is 5.842063992386006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.344567201371943
the lambda is 2.0
the regulation term lambda/alpha is 5.804382982584289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.17235473682001975
the lambda is 2.0
the regulation term lambda/alpha is 11.603974668178028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.19588524722929873
the lambda is 2.0
the regulation term lambda/alpha is 10.210059349997126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.15076075077166554
the lambda is 2.0
the regulation term lambda/alpha is 13.266052269990993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.07325509088608449
the lambda is 2.0
the regulation term lambda/alpha is 27.301856783033752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.251970453043719
the lambda is 2.0
the regulation term lambda/alpha is 7.937438599806712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.24572594137784118
the lambda is 2.0
the regulation term lambda/alpha is 8.139148796360473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.1892399128787238
the lambda is 2.0
the regulation term lambda/alpha is 10.56859501558595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2226719628047842
the lambda is 2.0
the regulation term lambda/alpha is 8.981822295038524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20767625874069529
the lambda is 2.0
the regulation term lambda/alpha is 9.630373794903544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1674575062809224
the lambda is 2.0
the regulation term lambda/alpha is 11.943328456383744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.09263233793022237
the lambda is 2.0
the regulation term lambda/alpha is 21.590732185843677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22632220188021676
the lambda is 2.0
the regulation term lambda/alpha is 8.836958916909618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 1.476535657448173
the lambda is 2.0
the regulation term lambda/alpha is 1.3545219784644456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28392408162985144
the lambda is 2.0
the regulation term lambda/alpha is 7.044136547062524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19716336688118927
the lambda is 2.0
the regulation term lambda/alpha is 10.143872219453428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.10471808753868059
the lambda is 2.0
the regulation term lambda/alpha is 19.09889730617209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3136782172289278
the lambda is 2.0
the regulation term lambda/alpha is 6.3759607462330266
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35236986184471525
the lambda is 2.0
the regulation term lambda/alpha is 5.675854312652237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.22542345044555204
the lambda is 2.0
the regulation term lambda/alpha is 8.872191407091751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.11883068713483914
the lambda is 2.0
the regulation term lambda/alpha is 16.83066931802361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.07859685605929458
the lambda is 2.0
the regulation term lambda/alpha is 25.446310454087016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.15963674410874834
the lambda is 2.0
the regulation term lambda/alpha is 12.528443944193402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22960497400190025
the lambda is 2.0
the regulation term lambda/alpha is 8.710612689006675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1146608865593668
the lambda is 2.0
the regulation term lambda/alpha is 17.442739717213684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.09138909485740912
the lambda is 2.0
the regulation term lambda/alpha is 21.88444915797145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.14824606370189866
the lambda is 2.0
the regulation term lambda/alpha is 13.491083338453493
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.12993455991025032
the lambda is 2.0
the regulation term lambda/alpha is 15.39236367431005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.6414079373514853
the lambda is 2.0
the regulation term lambda/alpha is 3.1181403963574894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.18663560702699947
the lambda is 2.0
the regulation term lambda/alpha is 10.716068770900034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19421926173675644
the lambda is 2.0
the regulation term lambda/alpha is 10.297639802126255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1732809768070365
the lambda is 2.0
the regulation term lambda/alpha is 11.54194786325088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.14338016435596243
the lambda is 2.0
the regulation term lambda/alpha is 13.948930864904748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1700199408468188
the lambda is 2.0
the regulation term lambda/alpha is 11.763326054806244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.26293898039841207
the lambda is 2.0
the regulation term lambda/alpha is 7.606327509787812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.0852087483136923
the lambda is 2.0
the regulation term lambda/alpha is 23.47176832872943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23820751671767132
the lambda is 2.0
the regulation term lambda/alpha is 8.39604067729921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3572520852456855
the lambda is 2.0
the regulation term lambda/alpha is 5.598287826996396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23235344470196423
the lambda is 2.0
the regulation term lambda/alpha is 8.607576283473506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 1.4117896001008052
the lambda is 2.0
the regulation term lambda/alpha is 1.416641686450442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.4315293471101088
the lambda is 2.0
the regulation term lambda/alpha is 4.634678993198766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.10708725642240438
the lambda is 2.0
the regulation term lambda/alpha is 18.676358577261745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.4706620815334197
the lambda is 2.0
the regulation term lambda/alpha is 4.249333180790747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21302799808227635
the lambda is 2.0
the regulation term lambda/alpha is 9.388437285260286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2587087877925061
the lambda is 2.0
the regulation term lambda/alpha is 7.7306999003221835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  26  iterations
the alpha is 0.4967633193438214
the lambda is 2.0
the regulation term lambda/alpha is 4.026062154995292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.08955553125234825
the lambda is 2.0
the regulation term lambda/alpha is 22.332512263976522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.2867658484110954
the lambda is 2.0
the regulation term lambda/alpha is 6.97433118720917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1947605993697289
the lambda is 2.0
the regulation term lambda/alpha is 10.269017483373254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2948586282220857
the lambda is 2.0
the regulation term lambda/alpha is 6.782911567009029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.06795645506533643
the lambda is 2.0
the regulation term lambda/alpha is 29.430611088778967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.10298022084681614
the lambda is 2.0
the regulation term lambda/alpha is 19.42120519410242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  24  iterations
the alpha is 0.5880583133368561
the lambda is 2.0
the regulation term lambda/alpha is 3.4010232567775036
20
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.4444041332118438
the lambda is 2.0
the regulation term lambda/alpha is 4.500408188252868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18451984218523876
the lambda is 2.0
the regulation term lambda/alpha is 10.838942719191184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.5695214070462216
the lambda is 2.0
the regulation term lambda/alpha is 3.511720499450309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.472383185048209
the lambda is 2.0
the regulation term lambda/alpha is 4.233850956815684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.584504388169463
the lambda is 2.0
the regulation term lambda/alpha is 3.4217022839872127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1960651617866743
the lambda is 2.0
the regulation term lambda/alpha is 10.200690330575247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.13348742830478075
the lambda is 2.0
the regulation term lambda/alpha is 14.982684327647442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.29369869500871
the lambda is 2.0
the regulation term lambda/alpha is 6.809699988420744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.3034908638869281
the lambda is 2.0
the regulation term lambda/alpha is 6.589984207053897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.3180372942813204
the lambda is 2.0
the regulation term lambda/alpha is 6.288570667535918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1481120770140811
the lambda is 2.0
the regulation term lambda/alpha is 13.503287782601676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.23599509391067802
the lambda is 2.0
the regulation term lambda/alpha is 8.474752448697012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5124947164212722
the lambda is 2.0
the regulation term lambda/alpha is 3.902479256695388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.25648253561397527
the lambda is 2.0
the regulation term lambda/alpha is 7.797801886246728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2743227489000383
the lambda is 2.0
the regulation term lambda/alpha is 7.290682263937173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.24763050706363668
the lambda is 2.0
the regulation term lambda/alpha is 8.076549306124205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.18337246295539453
the lambda is 2.0
the regulation term lambda/alpha is 10.906763031734494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.10766102063340907
the lambda is 2.0
the regulation term lambda/alpha is 18.576825560757925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.13515676675613572
the lambda is 2.0
the regulation term lambda/alpha is 14.797631284037843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1656777498848319
the lambda is 2.0
the regulation term lambda/alpha is 12.071627007188754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.6221075474817745
the lambda is 2.0
the regulation term lambda/alpha is 3.214878212128736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3121925705807031
the lambda is 2.0
the regulation term lambda/alpha is 6.4063023546006885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1236289810621722
the lambda is 2.0
the regulation term lambda/alpha is 16.177436575281757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.12466454303361366
the lambda is 2.0
the regulation term lambda/alpha is 16.04305403390228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1387816157743681
the lambda is 2.0
the regulation term lambda/alpha is 14.411130673471988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.22641688625908662
the lambda is 2.0
the regulation term lambda/alpha is 8.833263424139751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.19455519812848704
the lambda is 2.0
the regulation term lambda/alpha is 10.279858976983855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1784611925655556
the lambda is 2.0
the regulation term lambda/alpha is 11.206918273087993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.30865445824975174
the lambda is 2.0
the regulation term lambda/alpha is 6.479737928754213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.07230987491731028
the lambda is 2.0
the regulation term lambda/alpha is 27.65873958829404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  16  iterations
the alpha is 0.5733512092974181
the lambda is 2.0
the regulation term lambda/alpha is 3.4882633324359613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.26081873183238774
the lambda is 2.0
the regulation term lambda/alpha is 7.668160894537582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.346626174375403
the lambda is 2.0
the regulation term lambda/alpha is 5.76990472114192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1545808653637395
the lambda is 2.0
the regulation term lambda/alpha is 12.938211953296168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.23577519007133405
the lambda is 2.0
the regulation term lambda/alpha is 8.482656718015571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.4350704036893809
the lambda is 2.0
the regulation term lambda/alpha is 4.5969571431199965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18687383854122994
the lambda is 2.0
the regulation term lambda/alpha is 10.702407654342373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.11512595949790562
the lambda is 2.0
the regulation term lambda/alpha is 17.372276493698923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.27913837713591366
the lambda is 2.0
the regulation term lambda/alpha is 7.164905164674622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3733952798830503
the lambda is 2.0
the regulation term lambda/alpha is 5.3562541032291895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.1764071129818042
the lambda is 2.0
the regulation term lambda/alpha is 11.33741132199297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.18548908021587154
the lambda is 2.0
the regulation term lambda/alpha is 10.782305878450671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.5433187030501753
the lambda is 2.0
the regulation term lambda/alpha is 3.681080715189922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.28455846548902086
the lambda is 2.0
the regulation term lambda/alpha is 7.028432615993166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.3106023517380112
the lambda is 2.0
the regulation term lambda/alpha is 6.439101277916184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 1.1548592259385282
the lambda is 2.0
the regulation term lambda/alpha is 1.731812808937509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2981927666711519
the lambda is 2.0
the regulation term lambda/alpha is 6.707070806333835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.2490822830672375
the lambda is 2.0
the regulation term lambda/alpha is 8.029475141193073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.19389715819102907
the lambda is 2.0
the regulation term lambda/alpha is 10.31474632562476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.5138760803557918
the lambda is 2.0
the regulation term lambda/alpha is 3.891988898598398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.42766906226590756
the lambda is 2.0
the regulation term lambda/alpha is 4.676513165117564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.4398782261768785
the lambda is 2.0
the regulation term lambda/alpha is 4.546712887752221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.274135970168991
the lambda is 2.0
the regulation term lambda/alpha is 7.295649668911018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.12470034236845114
the lambda is 2.0
the regulation term lambda/alpha is 16.0384483475644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.21092231765181094
the lambda is 2.0
the regulation term lambda/alpha is 9.482163965700328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.16167244167339925
the lambda is 2.0
the regulation term lambda/alpha is 12.37069211857564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.5414173557637204
the lambda is 2.0
the regulation term lambda/alpha is 3.6940079195998634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.31338753214417
the lambda is 2.0
the regulation term lambda/alpha is 6.381874819065633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16962888545611943
the lambda is 2.0
the regulation term lambda/alpha is 11.79044473836015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.24807367680830636
the lambda is 2.0
the regulation term lambda/alpha is 8.062121002646554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.23112018817262936
the lambda is 2.0
the regulation term lambda/alpha is 8.6535062809232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.13669351857071121
the lambda is 2.0
the regulation term lambda/alpha is 14.631271628035568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.101058687018554
the lambda is 2.0
the regulation term lambda/alpha is 19.790480749396707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1087052318363371
the lambda is 2.0
the regulation term lambda/alpha is 18.39837849765255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.39220457147296556
the lambda is 2.0
the regulation term lambda/alpha is 5.09937962346739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.11447665954123869
the lambda is 2.0
the regulation term lambda/alpha is 17.47081027708995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1885659841148966
the lambda is 2.0
the regulation term lambda/alpha is 10.606366834335107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1620957312354088
the lambda is 2.0
the regulation term lambda/alpha is 12.338387844991642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2172275437657235
the lambda is 2.0
the regulation term lambda/alpha is 9.206935572392092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19229817959318446
the lambda is 2.0
the regulation term lambda/alpha is 10.400514473049567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.30279314471968355
the lambda is 2.0
the regulation term lambda/alpha is 6.605169353657388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3947445820410624
the lambda is 2.0
the regulation term lambda/alpha is 5.066567322238648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.24737094688958622
the lambda is 2.0
the regulation term lambda/alpha is 8.08502382817291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  16  iterations
the alpha is 0.3884462092077265
the lambda is 2.0
the regulation term lambda/alpha is 5.148718027340756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.41521219077196037
the lambda is 2.0
the regulation term lambda/alpha is 4.816814256541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20997609385739574
the lambda is 2.0
the regulation term lambda/alpha is 9.524893826048077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2254127186101872
the lambda is 2.0
the regulation term lambda/alpha is 8.872613809598999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3818935253044175
the lambda is 2.0
the regulation term lambda/alpha is 5.237061818227336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.21276354996512784
the lambda is 2.0
the regulation term lambda/alpha is 9.400106363744175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.12228738226958444
the lambda is 2.0
the regulation term lambda/alpha is 16.354917104946846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.21137794361398085
the lambda is 2.0
the regulation term lambda/alpha is 9.461725125173926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.16813188914871052
the lambda is 2.0
the regulation term lambda/alpha is 11.895423349647999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.13079460480407487
the lambda is 2.0
the regulation term lambda/alpha is 15.291150602090358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1967874393941311
the lambda is 2.0
the regulation term lambda/alpha is 10.16325028750614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2264790130036143
the lambda is 2.0
the regulation term lambda/alpha is 8.830840321474213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.14203693768795167
the lambda is 2.0
the regulation term lambda/alpha is 14.08084426879087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.09284803195061535
the lambda is 2.0
the regulation term lambda/alpha is 21.540575044862273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1622890848185606
the lambda is 2.0
the regulation term lambda/alpha is 12.323687709718754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1934614119707802
the lambda is 2.0
the regulation term lambda/alpha is 10.337978926268116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.16938983362347387
the lambda is 2.0
the regulation term lambda/alpha is 11.807084033423608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.23161522939643478
the lambda is 2.0
the regulation term lambda/alpha is 8.635010768556938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1734281234621997
the lambda is 2.0
the regulation term lambda/alpha is 11.532154993511872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.14328256344687998
the lambda is 2.0
the regulation term lambda/alpha is 13.958432567696713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.15164440738338375
the lambda is 2.0
the regulation term lambda/alpha is 13.18874882700849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.13681793553932942
the lambda is 2.0
the regulation term lambda/alpha is 14.617966512329692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.18153469042371878
the lambda is 2.0
the regulation term lambda/alpha is 11.017178013369318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.29117439373753323
the lambda is 2.0
the regulation term lambda/alpha is 6.86873586075984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.3862958673911859
the lambda is 2.0
the regulation term lambda/alpha is 5.177378711055903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18128975022156382
the lambda is 2.0
the regulation term lambda/alpha is 11.032063299528483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17406022751800135
the lambda is 2.0
the regulation term lambda/alpha is 11.490275685139844
30
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.35770346238047745
the lambda is 2.0
the regulation term lambda/alpha is 5.591223486320816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  16  iterations
the alpha is 0.47651532623167675
the lambda is 2.0
the regulation term lambda/alpha is 4.197136775885402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.14336945631923426
the lambda is 2.0
the regulation term lambda/alpha is 13.949972688371579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.09554411260408789
the lambda is 2.0
the regulation term lambda/alpha is 20.932739291718843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3885563572581962
the lambda is 2.0
the regulation term lambda/alpha is 5.147258467504618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.14526065903040003
the lambda is 2.0
the regulation term lambda/alpha is 13.768352789735324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.21003255465129045
the lambda is 2.0
the regulation term lambda/alpha is 9.522333351229902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.35212181569783874
the lambda is 2.0
the regulation term lambda/alpha is 5.679852570441791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23533923272384788
the lambda is 2.0
the regulation term lambda/alpha is 8.498370530284014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.15322393821695815
the lambda is 2.0
the regulation term lambda/alpha is 13.052790727569544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.29028254093168465
the lambda is 2.0
the regulation term lambda/alpha is 6.889839098076111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.426483364017746
the lambda is 2.0
the regulation term lambda/alpha is 4.6895146885888375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.32202044098753574
the lambda is 2.0
the regulation term lambda/alpha is 6.2107858552911335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2872121845950069
the lambda is 2.0
the regulation term lambda/alpha is 6.9634928713771895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.34488166455035046
the lambda is 2.0
the regulation term lambda/alpha is 5.7990905448904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4665119337759947
the lambda is 2.0
the regulation term lambda/alpha is 4.287135773380539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1809241625547427
the lambda is 2.0
the regulation term lambda/alpha is 11.054355436880106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.419715050718485
the lambda is 2.0
the regulation term lambda/alpha is 4.765137672752788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.22255602453680204
the lambda is 2.0
the regulation term lambda/alpha is 8.986501282823186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.37222097357403805
the lambda is 2.0
the regulation term lambda/alpha is 5.373152353012645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3050578120125604
the lambda is 2.0
the regulation term lambda/alpha is 6.55613434976598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3650761193972803
the lambda is 2.0
the regulation term lambda/alpha is 5.4783095736359995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17291119432757224
the lambda is 2.0
the regulation term lambda/alpha is 11.56663111244893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  16  iterations
the alpha is 0.25046918566019266
the lambda is 2.0
the regulation term lambda/alpha is 7.985014183394864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2413232318695263
the lambda is 2.0
the regulation term lambda/alpha is 8.287639712538406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.31907921893843905
the lambda is 2.0
the regulation term lambda/alpha is 6.2680359023502135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.15007675276076843
the lambda is 2.0
the regulation term lambda/alpha is 13.326514354878952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.15070566022454265
the lambda is 2.0
the regulation term lambda/alpha is 13.270901683587176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.6183047927111676
the lambda is 2.0
the regulation term lambda/alpha is 3.234650650580145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.16480666689060774
the lambda is 2.0
the regulation term lambda/alpha is 12.135431398097033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1524132682603647
the lambda is 2.0
the regulation term lambda/alpha is 13.122217132588732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1792934733409414
the lambda is 2.0
the regulation term lambda/alpha is 11.154895728952912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.19671506565903635
the lambda is 2.0
the regulation term lambda/alpha is 10.166989464175428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31961999898690346
the lambda is 2.0
the regulation term lambda/alpha is 6.257430718789129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3270086136548801
the lambda is 2.0
the regulation term lambda/alpha is 6.116046845514502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.161208358041005
the lambda is 2.0
the regulation term lambda/alpha is 12.406304637699241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.28950580950078153
the lambda is 2.0
the regulation term lambda/alpha is 6.9083242351811975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.5311339593728512
the lambda is 2.0
the regulation term lambda/alpha is 3.7655283845181855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1625125622407866
the lambda is 2.0
the regulation term lambda/alpha is 12.306740921583044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.39840056264816515
the lambda is 2.0
the regulation term lambda/alpha is 5.020073231588873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.22514524633761077
the lambda is 2.0
the regulation term lambda/alpha is 8.883154463767587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.13967976922205605
the lambda is 2.0
the regulation term lambda/alpha is 14.318465810324314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.15331380024924035
the lambda is 2.0
the regulation term lambda/alpha is 13.045140077074763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2822502882499572
the lambda is 2.0
the regulation term lambda/alpha is 7.0859095039393765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20512247042398749
the lambda is 2.0
the regulation term lambda/alpha is 9.750272585280426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.31541586869724386
the lambda is 2.0
the regulation term lambda/alpha is 6.340835064071322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2887804274078338
the lambda is 2.0
the regulation term lambda/alpha is 6.9256771241475965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.33716159290885145
the lambda is 2.0
the regulation term lambda/alpha is 5.931873742632013
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.307298864709838
the lambda is 2.0
the regulation term lambda/alpha is 6.508322124419391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1980727888534533
the lambda is 2.0
the regulation term lambda/alpha is 10.09729812750668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3066838450872911
the lambda is 2.0
the regulation term lambda/alpha is 6.521373825317543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.19690705516178975
the lambda is 2.0
the regulation term lambda/alpha is 10.157076384879604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.17928418678637664
the lambda is 2.0
the regulation term lambda/alpha is 11.155473529760155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2935914905636099
the lambda is 2.0
the regulation term lambda/alpha is 6.812186539060053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.11489142506424635
the lambda is 2.0
the regulation term lambda/alpha is 17.40773951477768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4144059001434526
the lambda is 2.0
the regulation term lambda/alpha is 4.826186111992303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.7979915374253832
the lambda is 2.0
the regulation term lambda/alpha is 2.5062922427131773
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.4845948124295877
the lambda is 2.0
the regulation term lambda/alpha is 4.127159327134982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.17823078506881665
the lambda is 2.0
the regulation term lambda/alpha is 11.221405994636562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3893455243298217
the lambda is 2.0
the regulation term lambda/alpha is 5.1368254545691485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.20224854521467092
the lambda is 2.0
the regulation term lambda/alpha is 9.888822675471694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2268919587316617
the lambda is 2.0
the regulation term lambda/alpha is 8.81476810011297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.14268736945745672
the lambda is 2.0
the regulation term lambda/alpha is 14.016657589278179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.25372898080569956
the lambda is 2.0
the regulation term lambda/alpha is 7.8824263339928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.11406079112151127
the lambda is 2.0
the regulation term lambda/alpha is 17.534509276455566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2999376116992736
the lambda is 2.0
the regulation term lambda/alpha is 6.668053361727971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.5353052171186565
the lambda is 2.0
the regulation term lambda/alpha is 3.7361862654080524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.22645237332926738
the lambda is 2.0
the regulation term lambda/alpha is 8.83187917439907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.11216458676420765
the lambda is 2.0
the regulation term lambda/alpha is 17.830939850956693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2289885071638497
the lambda is 2.0
the regulation term lambda/alpha is 8.73406279105932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  19  iterations
the alpha is 0.8862137933928378
the lambda is 2.0
the regulation term lambda/alpha is 2.2567917752025406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.11941034554540128
the lambda is 2.0
the regulation term lambda/alpha is 16.748967527604847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1764467642778467
the lambda is 2.0
the regulation term lambda/alpha is 11.334863567408046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1942038778249122
the lambda is 2.0
the regulation term lambda/alpha is 10.29845553240257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.16484748226364157
the lambda is 2.0
the regulation term lambda/alpha is 12.132426728855876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.15053697904638255
the lambda is 2.0
the regulation term lambda/alpha is 13.285772125025652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.41274513800334617
the lambda is 2.0
the regulation term lambda/alpha is 4.845605231535848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.18930823033392327
the lambda is 2.0
the regulation term lambda/alpha is 10.564781026541603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.20776488818149266
the lambda is 2.0
the regulation term lambda/alpha is 9.626265619303794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.467231499445381
the lambda is 2.0
the regulation term lambda/alpha is 4.28053331672643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3758871261011482
the lambda is 2.0
the regulation term lambda/alpha is 5.32074620576874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3880638001215459
the lambda is 2.0
the regulation term lambda/alpha is 5.1537917202624355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.27625258960632926
the lambda is 2.0
the regulation term lambda/alpha is 7.239751138080111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  14  iterations
the alpha is 0.3201108551391151
the lambda is 2.0
the regulation term lambda/alpha is 6.247835610357018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.38137296535703424
the lambda is 2.0
the regulation term lambda/alpha is 5.244210213295107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  16  iterations
the alpha is 0.22985065630961637
the lambda is 2.0
the regulation term lambda/alpha is 8.701302106816412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1290372672095459
the lambda is 2.0
the regulation term lambda/alpha is 15.499398299811826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.29189774681842307
the lambda is 2.0
the regulation term lambda/alpha is 6.85171441643266
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18018145848801895
the lambda is 2.0
the regulation term lambda/alpha is 11.09992125040429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.18828176042897232
the lambda is 2.0
the regulation term lambda/alpha is 10.622377841822246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.21839074564419925
the lambda is 2.0
the regulation term lambda/alpha is 9.157897208970507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.0747286499766838
the lambda is 2.0
the regulation term lambda/alpha is 26.763497007158875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.2672137254922932
the lambda is 2.0
the regulation term lambda/alpha is 7.484645469896278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3076529973675338
the lambda is 2.0
the regulation term lambda/alpha is 6.50083053671902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1559055688164578
the lambda is 2.0
the regulation term lambda/alpha is 12.828278137739456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.20431316148180423
the lambda is 2.0
the regulation term lambda/alpha is 9.788894584640435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1792340936719646
the lambda is 2.0
the regulation term lambda/alpha is 11.15859130942137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.21480123377724888
the lambda is 2.0
the regulation term lambda/alpha is 9.310933484087995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.1576583695902825
the lambda is 2.0
the regulation term lambda/alpha is 12.685657001258706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4009033020823802
the lambda is 2.0
the regulation term lambda/alpha is 4.988734165100559
40
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.46187596380924995
the lambda is 2.0
the regulation term lambda/alpha is 4.330166877499561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.19494562936624563
the lambda is 2.0
the regulation term lambda/alpha is 10.259270784894525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3459133787922027
the lambda is 2.0
the regulation term lambda/alpha is 5.78179429481229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4677263495954738
the lambda is 2.0
the regulation term lambda/alpha is 4.27600455208426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3248268793639597
the lambda is 2.0
the regulation term lambda/alpha is 6.157125924788552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.22395909631481253
the lambda is 2.0
the regulation term lambda/alpha is 8.930202134717764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5224314984849746
the lambda is 2.0
the regulation term lambda/alpha is 3.8282530930847405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.4797213732532239
the lambda is 2.0
the regulation term lambda/alpha is 4.169086706387559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3022560242675458
the lambda is 2.0
the regulation term lambda/alpha is 6.616906990841891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2996349099523557
the lambda is 2.0
the regulation term lambda/alpha is 6.674789664255129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.22960053143168366
the lambda is 2.0
the regulation term lambda/alpha is 8.710781231772057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19799075197398808
the lambda is 2.0
the regulation term lambda/alpha is 10.101481912967122
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.13219730727487147
the lambda is 2.0
the regulation term lambda/alpha is 15.128901194950187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.21995906376146557
the lambda is 2.0
the regulation term lambda/alpha is 9.092600985831156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2937441672762381
the lambda is 2.0
the regulation term lambda/alpha is 6.808645831320262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.4584605451177297
the lambda is 2.0
the regulation term lambda/alpha is 4.362425559404273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.33694309299233405
the lambda is 2.0
the regulation term lambda/alpha is 5.935720427560457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5852820546327696
the lambda is 2.0
the regulation term lambda/alpha is 3.417155855316431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3361740937992572
the lambda is 2.0
the regulation term lambda/alpha is 5.949298404874346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1828639434510057
the lambda is 2.0
the regulation term lambda/alpha is 10.937093241324828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1455341048735075
the lambda is 2.0
the regulation term lambda/alpha is 13.742483260115014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3040746602651594
the lambda is 2.0
the regulation term lambda/alpha is 6.57733202186581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2327838177405761
the lambda is 2.0
the regulation term lambda/alpha is 8.591662510788797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.4910464501513137
the lambda is 2.0
the regulation term lambda/alpha is 4.072934443134065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3846694069458749
the lambda is 2.0
the regulation term lambda/alpha is 5.199269720665389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2203863817825526
the lambda is 2.0
the regulation term lambda/alpha is 9.074970893497987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.27415129898261575
the lambda is 2.0
the regulation term lambda/alpha is 7.295241742140432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.4176448457866249
the lambda is 2.0
the regulation term lambda/alpha is 4.788757769135266
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1834791370501745
the lambda is 2.0
the regulation term lambda/alpha is 10.900421879862433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1501543998600353
the lambda is 2.0
the regulation term lambda/alpha is 13.319623013806304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1521955941260566
the lambda is 2.0
the regulation term lambda/alpha is 13.140984872029161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20309968420109792
the lambda is 2.0
the regulation term lambda/alpha is 9.847381141271063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3095225106188669
the lambda is 2.0
the regulation term lambda/alpha is 6.4615655772536575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.35671469852478344
the lambda is 2.0
the regulation term lambda/alpha is 5.606721585264438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.26984948474923515
the lambda is 2.0
the regulation term lambda/alpha is 7.41153907282259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.193534589118105
the lambda is 2.0
the regulation term lambda/alpha is 10.334070044603214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.5888833083071097
the lambda is 2.0
the regulation term lambda/alpha is 3.3962585996018353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.22171293232932726
the lambda is 2.0
the regulation term lambda/alpha is 9.020673620559247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.15342851735439247
the lambda is 2.0
the regulation term lambda/alpha is 13.035386344641246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1613976813474933
the lambda is 2.0
the regulation term lambda/alpha is 12.391751748241967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2831363807718576
the lambda is 2.0
the regulation term lambda/alpha is 7.063733719233832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.36682880356470854
the lambda is 2.0
the regulation term lambda/alpha is 5.452134566764467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.16881362247435627
the lambda is 2.0
the regulation term lambda/alpha is 11.847385126184417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19360683042911772
the lambda is 2.0
the regulation term lambda/alpha is 10.330214050646468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2627086592552723
the lambda is 2.0
the regulation term lambda/alpha is 7.612996106293599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20924195497745873
the lambda is 2.0
the regulation term lambda/alpha is 9.558312529700157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.28255786352786416
the lambda is 2.0
the regulation term lambda/alpha is 7.07819621449952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.18412809046031667
the lambda is 2.0
the regulation term lambda/alpha is 10.8620037007935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22351371331758282
the lambda is 2.0
the regulation term lambda/alpha is 8.947996837931237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1906497587721342
the lambda is 2.0
the regulation term lambda/alpha is 10.490440758387807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.30327922497260906
the lambda is 2.0
the regulation term lambda/alpha is 6.594582929907684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.2839536285961864
the lambda is 2.0
the regulation term lambda/alpha is 7.043403565179378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.26865953056451913
the lambda is 2.0
the regulation term lambda/alpha is 7.444366465606162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1902820102067249
the lambda is 2.0
the regulation term lambda/alpha is 10.510715110835616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22882267107967433
the lambda is 2.0
the regulation term lambda/alpha is 8.740392682959351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.20314723626859266
the lambda is 2.0
the regulation term lambda/alpha is 9.8450760971992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.550069454392911
the lambda is 2.0
the regulation term lambda/alpha is 3.635904491746988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3373611011647186
the lambda is 2.0
the regulation term lambda/alpha is 5.928365757329822
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19243885250610657
the lambda is 2.0
the regulation term lambda/alpha is 10.392911690930681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.444138004987136
the lambda is 2.0
the regulation term lambda/alpha is 4.503104840257766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  15  iterations
the alpha is 0.34004486645501814
the lambda is 2.0
the regulation term lambda/alpha is 5.881576807349227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2512725915966547
the lambda is 2.0
the regulation term lambda/alpha is 7.959483313685164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.5497730082586783
the lambda is 2.0
the regulation term lambda/alpha is 3.6378650278497546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.13546233326268958
the lambda is 2.0
the regulation term lambda/alpha is 14.764251816935596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3009944496087624
the lambda is 2.0
the regulation term lambda/alpha is 6.644640798525133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.1810551886938628
the lambda is 2.0
the regulation term lambda/alpha is 11.046355613600781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24039838342349545
the lambda is 2.0
the regulation term lambda/alpha is 8.319523498944331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2447951473687433
the lambda is 2.0
the regulation term lambda/alpha is 8.170096595041288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3392707949730202
the lambda is 2.0
the regulation term lambda/alpha is 5.894996061063982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.27730976552702435
the lambda is 2.0
the regulation term lambda/alpha is 7.212151350671046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20466314386156123
the lambda is 2.0
the regulation term lambda/alpha is 9.772155172955054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2127586354624654
the lambda is 2.0
the regulation term lambda/alpha is 9.400323496400866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1677858347000862
the lambda is 2.0
the regulation term lambda/alpha is 11.919957388387164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23229174576169037
the lambda is 2.0
the regulation term lambda/alpha is 8.609862539204528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.3823889030156061
the lambda is 2.0
the regulation term lambda/alpha is 5.230277302054385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2728892181136421
the lambda is 2.0
the regulation term lambda/alpha is 7.328981386018407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.14028632158552423
the lambda is 2.0
the regulation term lambda/alpha is 14.256557427665667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.31183817484922016
the lambda is 2.0
the regulation term lambda/alpha is 6.413582945600035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3237094407150154
the lambda is 2.0
the regulation term lambda/alpha is 6.178380202883064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19573450105680867
the lambda is 2.0
the regulation term lambda/alpha is 10.217922692226514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1651805456217903
the lambda is 2.0
the regulation term lambda/alpha is 12.107963395273856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19957277526056114
the lambda is 2.0
the regulation term lambda/alpha is 10.021406964896945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.28021880328414256
the lambda is 2.0
the regulation term lambda/alpha is 7.137279784797293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2529138198359301
the lambda is 2.0
the regulation term lambda/alpha is 7.907832008932677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.26865152365522105
the lambda is 2.0
the regulation term lambda/alpha is 7.44458833803875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22768315755491333
the lambda is 2.0
the regulation term lambda/alpha is 8.784136786743366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.41742694223635934
the lambda is 2.0
the regulation term lambda/alpha is 4.791257577397919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5304344869874685
the lambda is 2.0
the regulation term lambda/alpha is 3.7704939046454755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.25232361458922187
the lambda is 2.0
the regulation term lambda/alpha is 7.926329064586216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.33122701471776617
the lambda is 2.0
the regulation term lambda/alpha is 6.0381548337902675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18741000481971828
the lambda is 2.0
the regulation term lambda/alpha is 10.67178885099506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19675116140928509
the lambda is 2.0
the regulation term lambda/alpha is 10.165124239544214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3680679612601739
the lambda is 2.0
the regulation term lambda/alpha is 5.433779112836916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.3091393655967072
the lambda is 2.0
the regulation term lambda/alpha is 6.469573993397957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.50601301064481
the lambda is 2.0
the regulation term lambda/alpha is 3.9524675412029615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.16273337688471554
the lambda is 2.0
the regulation term lambda/alpha is 12.290041774385662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.31746209771319933
the lambda is 2.0
the regulation term lambda/alpha is 6.299964671079676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2563618417137799
the lambda is 2.0
the regulation term lambda/alpha is 7.801473053204768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.5859670064963385
the lambda is 2.0
the regulation term lambda/alpha is 3.4131614541893107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18364278122063976
the lambda is 2.0
the regulation term lambda/alpha is 10.890708508694805
50
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2087615305441606
the lambda is 2.0
the regulation term lambda/alpha is 9.580309144059123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20001771595393955
the lambda is 2.0
the regulation term lambda/alpha is 9.999114280759828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.21317063128050223
the lambda is 2.0
the regulation term lambda/alpha is 9.3821554497734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.5327899369009426
the lambda is 2.0
the regulation term lambda/alpha is 3.7538246529829715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.49613467454973675
the lambda is 2.0
the regulation term lambda/alpha is 4.031163517879666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.2389362026906502
the lambda is 2.0
the regulation term lambda/alpha is 8.370435193487161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2953486010981587
the lambda is 2.0
the regulation term lambda/alpha is 6.771658956784098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2903389375431396
the lambda is 2.0
the regulation term lambda/alpha is 6.8885007878174545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19684771122599493
the lambda is 2.0
the regulation term lambda/alpha is 10.16013845192165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3331096641395071
the lambda is 2.0
the regulation term lambda/alpha is 6.004028748809867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3280059216440858
the lambda is 2.0
the regulation term lambda/alpha is 6.097450893493836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19322773693112336
the lambda is 2.0
the regulation term lambda/alpha is 10.350480897641038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3620612690572416
the lambda is 2.0
the regulation term lambda/alpha is 5.523926945314335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.20702922956743913
the lambda is 2.0
the regulation term lambda/alpha is 9.660471635714154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.15607675205027388
the lambda is 2.0
the regulation term lambda/alpha is 12.814208225936044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.36533585480455094
the lambda is 2.0
the regulation term lambda/alpha is 5.474414771224602
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.1943707163826187
the lambda is 2.0
the regulation term lambda/alpha is 10.289615829078905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22908356383308437
the lambda is 2.0
the regulation term lambda/alpha is 8.730438651012285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2716124526777482
the lambda is 2.0
the regulation term lambda/alpha is 7.363432641922642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3421939212266423
the lambda is 2.0
the regulation term lambda/alpha is 5.844639182457475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2585910172329931
the lambda is 2.0
the regulation term lambda/alpha is 7.734220706506521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3654381452589256
the lambda is 2.0
the regulation term lambda/alpha is 5.472882417851948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3929949688174716
the lambda is 2.0
the regulation term lambda/alpha is 5.089123675089361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19028785874446852
the lambda is 2.0
the regulation term lambda/alpha is 10.510392061774871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.36405453992152004
the lambda is 2.0
the regulation term lambda/alpha is 5.493682348889658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3819064579360847
the lambda is 2.0
the regulation term lambda/alpha is 5.236884473775296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.15893268404933883
the lambda is 2.0
the regulation term lambda/alpha is 12.583944026133246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4974382604368515
the lambda is 2.0
the regulation term lambda/alpha is 4.020599457395165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3526152954863017
the lambda is 2.0
the regulation term lambda/alpha is 5.6719037024237515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16066014220411684
the lambda is 2.0
the regulation term lambda/alpha is 12.448638302952721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.325135944492284
the lambda is 2.0
the regulation term lambda/alpha is 6.151273133221551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.23040762567248732
the lambda is 2.0
the regulation term lambda/alpha is 8.68026826005706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1816923042676937
the lambda is 2.0
the regulation term lambda/alpha is 11.007620867933566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.23919412437765175
the lambda is 2.0
the regulation term lambda/alpha is 8.361409400016445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2976916623232854
the lambda is 2.0
the regulation term lambda/alpha is 6.718360818006558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.25119784618173735
the lambda is 2.0
the regulation term lambda/alpha is 7.961851705340794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.43058010204773695
the lambda is 2.0
the regulation term lambda/alpha is 4.644896479164908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3421142021919299
the lambda is 2.0
the regulation term lambda/alpha is 5.846001093161218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.22426346034067376
the lambda is 2.0
the regulation term lambda/alpha is 8.918082316940279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.5121214187873429
the lambda is 2.0
the regulation term lambda/alpha is 3.905323867796467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3755198360298216
the lambda is 2.0
the regulation term lambda/alpha is 5.325950344314625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21404737176934385
the lambda is 2.0
the regulation term lambda/alpha is 9.343726033483783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.270763444577075
the lambda is 2.0
the regulation term lambda/alpha is 7.386521482336526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.46997093120293393
the lambda is 2.0
the regulation term lambda/alpha is 4.255582350339872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.33706040780846636
the lambda is 2.0
the regulation term lambda/alpha is 5.933654483490967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3479045688587554
the lambda is 2.0
the regulation term lambda/alpha is 5.748702888728009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25104465200227233
the lambda is 2.0
the regulation term lambda/alpha is 7.966710240781776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1889627626930848
the lambda is 2.0
the regulation term lambda/alpha is 10.584095890090367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.31266004761223487
the lambda is 2.0
the regulation term lambda/alpha is 6.396723902762359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3778275747258073
the lambda is 2.0
the regulation term lambda/alpha is 5.293419892530124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.26344370940696776
the lambda is 2.0
the regulation term lambda/alpha is 7.591754627590673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5419919764139294
the lambda is 2.0
the regulation term lambda/alpha is 3.690091527245346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.31927324365567494
the lambda is 2.0
the regulation term lambda/alpha is 6.2642267704616375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3302166811653475
the lambda is 2.0
the regulation term lambda/alpha is 6.056629219765404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.30763492666488285
the lambda is 2.0
the regulation term lambda/alpha is 6.501212400302869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.186949229372179
the lambda is 2.0
the regulation term lambda/alpha is 10.698091704985822
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.30251093544679636
the lambda is 2.0
the regulation term lambda/alpha is 6.611331246740159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16976028606354185
the lambda is 2.0
the regulation term lambda/alpha is 11.781318507270854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3027403073031735
the lambda is 2.0
the regulation term lambda/alpha is 6.606322157152131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22594064606768943
the lambda is 2.0
the regulation term lambda/alpha is 8.851882274430698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5702331502764078
the lambda is 2.0
the regulation term lambda/alpha is 3.5073373041019185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21948015985639174
the lambda is 2.0
the regulation term lambda/alpha is 9.112440966457386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.26477754261335856
the lambda is 2.0
the regulation term lambda/alpha is 7.553510695280152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.44826500321775703
the lambda is 2.0
the regulation term lambda/alpha is 4.461646538640102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19669274197547157
the lambda is 2.0
the regulation term lambda/alpha is 10.168143368754341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.49124244033322795
the lambda is 2.0
the regulation term lambda/alpha is 4.071309471232424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.33583111335674926
the lambda is 2.0
the regulation term lambda/alpha is 5.955374354714492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19865026288868767
the lambda is 2.0
the regulation term lambda/alpha is 10.06794539768964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.30162231895557
the lambda is 2.0
the regulation term lambda/alpha is 6.630809042664402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17752228100381326
the lambda is 2.0
the regulation term lambda/alpha is 11.26619142504731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.28958898158826435
the lambda is 2.0
the regulation term lambda/alpha is 6.906340113601375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.31485532735573346
the lambda is 2.0
the regulation term lambda/alpha is 6.352123741391668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.34218767108832665
the lambda is 2.0
the regulation term lambda/alpha is 5.844745936167154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3233413328505429
the lambda is 2.0
the regulation term lambda/alpha is 6.185413978374531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  13  iterations
the alpha is 0.3518148003791805
the lambda is 2.0
the regulation term lambda/alpha is 5.684809160514086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24965391630870254
the lambda is 2.0
the regulation term lambda/alpha is 8.011090030436199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2798501891680707
the lambda is 2.0
the regulation term lambda/alpha is 7.146680893607874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.15101061218376358
the lambda is 2.0
the regulation term lambda/alpha is 13.244102325512172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3996833319215468
the lambda is 2.0
the regulation term lambda/alpha is 5.003961487171991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.28825636500313007
the lambda is 2.0
the regulation term lambda/alpha is 6.938268301476302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2932076609710997
the lambda is 2.0
the regulation term lambda/alpha is 6.821104173663225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.33333129141362683
the lambda is 2.0
the regulation term lambda/alpha is 6.000036754779868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1663077830917524
the lambda is 2.0
the regulation term lambda/alpha is 12.0258953779487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20001659585556317
the lambda is 2.0
the regulation term lambda/alpha is 9.999170276071734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5368572524950552
the lambda is 2.0
the regulation term lambda/alpha is 3.7253850827290838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3854891222558835
the lambda is 2.0
the regulation term lambda/alpha is 5.188213841926315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3272609925290923
the lambda is 2.0
the regulation term lambda/alpha is 6.111330239952772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.48890418007613706
the lambda is 2.0
the regulation term lambda/alpha is 4.090781141794574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.342862325548217
the lambda is 2.0
the regulation term lambda/alpha is 5.833245156936143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.5851173355015785
the lambda is 2.0
the regulation term lambda/alpha is 3.4181178349220254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2427530385646368
the lambda is 2.0
the regulation term lambda/alpha is 8.238825811720863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.36608415480808776
the lambda is 2.0
the regulation term lambda/alpha is 5.463224708669676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4041860790075048
the lambda is 2.0
the regulation term lambda/alpha is 4.948215942793182
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.47042935559404936
the lambda is 2.0
the regulation term lambda/alpha is 4.2514353668989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.24988649294002382
the lambda is 2.0
the regulation term lambda/alpha is 8.003633875801471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22133619353349523
the lambda is 2.0
the regulation term lambda/alpha is 9.036027809420768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.46535989312701725
the lambda is 2.0
the regulation term lambda/alpha is 4.297748967064748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.2547314370293533
the lambda is 2.0
the regulation term lambda/alpha is 7.851406262704573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2077819965497949
the lambda is 2.0
the regulation term lambda/alpha is 9.625473011184107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3310289419370337
the lambda is 2.0
the regulation term lambda/alpha is 6.041767793163015
60
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18468067992320836
the lambda is 2.0
the regulation term lambda/alpha is 10.829503123075003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25513688158222203
the lambda is 2.0
the regulation term lambda/alpha is 7.838929391929043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.27918180184154207
the lambda is 2.0
the regulation term lambda/alpha is 7.163790715611039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2198072923035803
the lambda is 2.0
the regulation term lambda/alpha is 9.098879200230353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1757522832298776
the lambda is 2.0
the regulation term lambda/alpha is 11.379653016422397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35532867591342543
the lambda is 2.0
the regulation term lambda/alpha is 5.62859159863386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3039764033153045
the lambda is 2.0
the regulation term lambda/alpha is 6.579458070386691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22134728599931033
the lambda is 2.0
the regulation term lambda/alpha is 9.035574983314824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.37920548267003845
the lambda is 2.0
the regulation term lambda/alpha is 5.274185346471581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22023423990423469
the lambda is 2.0
the regulation term lambda/alpha is 9.08124005090974
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4494490166738535
the lambda is 2.0
the regulation term lambda/alpha is 4.449892926234427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.42170474505600947
the lambda is 2.0
the regulation term lambda/alpha is 4.742654720981066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.20259383579215007
the lambda is 2.0
the regulation term lambda/alpha is 9.871968671603058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2944473923235734
the lambda is 2.0
the regulation term lambda/alpha is 6.792384827107468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2398853082182651
the lambda is 2.0
the regulation term lambda/alpha is 8.337317590872445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4100946435468202
the lambda is 2.0
the regulation term lambda/alpha is 4.876923001730603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22801685268311336
the lambda is 2.0
the regulation term lambda/alpha is 8.771281492861855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2555895939911601
the lambda is 2.0
the regulation term lambda/alpha is 7.825044708467954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.6163741211630658
the lambda is 2.0
the regulation term lambda/alpha is 3.2447825619708115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.38245351887354245
the lambda is 2.0
the regulation term lambda/alpha is 5.229393642110262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1994939795095676
the lambda is 2.0
the regulation term lambda/alpha is 10.02536520107907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.45938619426679284
the lambda is 2.0
the regulation term lambda/alpha is 4.353635405156475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.31135211387859874
the lambda is 2.0
the regulation term lambda/alpha is 6.423595379152726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2368170545621109
the lambda is 2.0
the regulation term lambda/alpha is 8.44533770466034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17827619081028687
the lambda is 2.0
the regulation term lambda/alpha is 11.218547978334954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.390160964583203
the lambda is 2.0
the regulation term lambda/alpha is 5.126089438846192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.34106287149912823
the lambda is 2.0
the regulation term lambda/alpha is 5.864021466801941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19489993740480016
the lambda is 2.0
the regulation term lambda/alpha is 10.261675948340978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.16270957454521898
the lambda is 2.0
the regulation term lambda/alpha is 12.291839651047551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22005983169824692
the lambda is 2.0
the regulation term lambda/alpha is 9.088437378896408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17434848850489892
the lambda is 2.0
the regulation term lambda/alpha is 11.471278111733117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.21384432766260678
the lambda is 2.0
the regulation term lambda/alpha is 9.352597854059066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.30440041983322597
the lambda is 2.0
the regulation term lambda/alpha is 6.5702931720519775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.17211804146350884
the lambda is 2.0
the regulation term lambda/alpha is 11.619932361501016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3296732287831492
the lambda is 2.0
the regulation term lambda/alpha is 6.06661331701747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2729416492193829
the lambda is 2.0
the regulation term lambda/alpha is 7.327573515145193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.30605016012373487
the lambda is 2.0
the regulation term lambda/alpha is 6.534876502568755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.27930425971632755
the lambda is 2.0
the regulation term lambda/alpha is 7.160649830515578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.27257950405360876
the lambda is 2.0
the regulation term lambda/alpha is 7.337308822774349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.49479313476367887
the lambda is 2.0
the regulation term lambda/alpha is 4.042093269857578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23264961741831508
the lambda is 2.0
the regulation term lambda/alpha is 8.59661847800895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5861234747880909
the lambda is 2.0
the regulation term lambda/alpha is 3.4122502954229685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4278867544819581
the lambda is 2.0
the regulation term lambda/alpha is 4.674133936259366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.5504011179367362
the lambda is 2.0
the regulation term lambda/alpha is 3.633713549669575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16827065037042047
the lambda is 2.0
the regulation term lambda/alpha is 11.885614012885345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16474106935939353
the lambda is 2.0
the regulation term lambda/alpha is 12.140263552841628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24319289687652262
the lambda is 2.0
the regulation term lambda/alpha is 8.223924406046565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.204366737911917
the lambda is 2.0
the regulation term lambda/alpha is 9.786328344987378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4242900234426628
the lambda is 2.0
the regulation term lambda/alpha is 4.713756839654453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.29027370292381627
the lambda is 2.0
the regulation term lambda/alpha is 6.8900488740618355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.29347089940647925
the lambda is 2.0
the regulation term lambda/alpha is 6.8149857585363165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22689862463877433
the lambda is 2.0
the regulation term lambda/alpha is 8.814509136774307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3092312304720722
the lambda is 2.0
the regulation term lambda/alpha is 6.46765204454544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20138652372979335
the lambda is 2.0
the regulation term lambda/alpha is 9.931151116563605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  12  iterations
the alpha is 0.22157045589178953
the lambda is 2.0
the regulation term lambda/alpha is 9.026474183799843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.25283756521668393
the lambda is 2.0
the regulation term lambda/alpha is 7.910216973834498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.20556651076981994
the lambda is 2.0
the regulation term lambda/alpha is 9.72921120522141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2225843843370217
the lambda is 2.0
the regulation term lambda/alpha is 8.98535629962136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.15474637693113963
the lambda is 2.0
the regulation term lambda/alpha is 12.924373672993825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.29768801587989596
the lambda is 2.0
the regulation term lambda/alpha is 6.71844311262739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.41884038510881894
the lambda is 2.0
the regulation term lambda/alpha is 4.775088723787655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.16036182832879448
the lambda is 2.0
the regulation term lambda/alpha is 12.47179594322997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20837051002445042
the lambda is 2.0
the regulation term lambda/alpha is 9.598287203718597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4031947131682138
the lambda is 2.0
the regulation term lambda/alpha is 4.960382501755659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2793677851877521
the lambda is 2.0
the regulation term lambda/alpha is 7.159021569562427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2297614286555503
the lambda is 2.0
the regulation term lambda/alpha is 8.704681250038382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.28840280918012784
the lambda is 2.0
the regulation term lambda/alpha is 6.934745211690568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24839217995598498
the lambda is 2.0
the regulation term lambda/alpha is 8.051783274152992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.32633224386779264
the lambda is 2.0
the regulation term lambda/alpha is 6.128723218690772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2727620778355061
the lambda is 2.0
the regulation term lambda/alpha is 7.332397582064669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3932238837399794
the lambda is 2.0
the regulation term lambda/alpha is 5.086161046419313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.25912548861194445
the lambda is 2.0
the regulation term lambda/alpha is 7.718268128362767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3647008552083895
the lambda is 2.0
the regulation term lambda/alpha is 5.483946559042761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2078833289181719
the lambda is 2.0
the regulation term lambda/alpha is 9.62078109104771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3863052124901954
the lambda is 2.0
the regulation term lambda/alpha is 5.177253465226698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.18579062557261128
the lambda is 2.0
the regulation term lambda/alpha is 10.764805779817742
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.15385032167968513
the lambda is 2.0
the regulation term lambda/alpha is 12.99964782760728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.20291772560905208
the lambda is 2.0
the regulation term lambda/alpha is 9.856211397979422
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3205846766649003
the lambda is 2.0
the regulation term lambda/alpha is 6.238601360509047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4444718350241454
the lambda is 2.0
the regulation term lambda/alpha is 4.4997226874709675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20854844197048256
the lambda is 2.0
the regulation term lambda/alpha is 9.59009801800905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18394405926927337
the lambda is 2.0
the regulation term lambda/alpha is 10.872870849676234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22867078649000033
the lambda is 2.0
the regulation term lambda/alpha is 8.746198107327798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39101047200772493
the lambda is 2.0
the regulation term lambda/alpha is 5.114952522193542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.21595632950997096
the lambda is 2.0
the regulation term lambda/alpha is 9.261131658137659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.31525838175244025
the lambda is 2.0
the regulation term lambda/alpha is 6.344002620588593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.41309283432768573
the lambda is 2.0
the regulation term lambda/alpha is 4.841526731527618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2566383917756315
the lambda is 2.0
the regulation term lambda/alpha is 7.793066291299543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18694407146950445
the lambda is 2.0
the regulation term lambda/alpha is 10.698386871959473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  11  iterations
the alpha is 0.33161475033995996
the lambda is 2.0
the regulation term lambda/alpha is 6.03109481092041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.2293983107715681
the lambda is 2.0
the regulation term lambda/alpha is 8.71846001512877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3090614541277547
the lambda is 2.0
the regulation term lambda/alpha is 6.47120491180137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.261656504045305
the lambda is 2.0
the regulation term lambda/alpha is 7.643608964727688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3068619020727543
the lambda is 2.0
the regulation term lambda/alpha is 6.5175897903605415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.29379784369445344
the lambda is 2.0
the regulation term lambda/alpha is 6.807401902105102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24405685700071772
the lambda is 2.0
the regulation term lambda/alpha is 8.194811752386528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25899470090660603
the lambda is 2.0
the regulation term lambda/alpha is 7.722165716128701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19439041306791194
the lambda is 2.0
the regulation term lambda/alpha is 10.28857322969566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2733823156002542
the lambda is 2.0
the regulation term lambda/alpha is 7.3157621611649715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.31263904726547215
the lambda is 2.0
the regulation term lambda/alpha is 6.397153578521924
70
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3031890639540542
the lambda is 2.0
the regulation term lambda/alpha is 6.596543997718478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.584304237436192
the lambda is 2.0
the regulation term lambda/alpha is 3.4228743723913295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5132316756884336
the lambda is 2.0
the regulation term lambda/alpha is 3.8968756114229692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25190997449000047
the lambda is 2.0
the regulation term lambda/alpha is 7.939344220287672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3255383731379964
the lambda is 2.0
the regulation term lambda/alpha is 6.143668965109056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.36246841827347254
the lambda is 2.0
the regulation term lambda/alpha is 5.517722094317896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.25775202014657544
the lambda is 2.0
the regulation term lambda/alpha is 7.759396022823267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18087354698116212
the lambda is 2.0
the regulation term lambda/alpha is 11.057448882828062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.468134217756473
the lambda is 2.0
the regulation term lambda/alpha is 4.272279026269374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.25480926875638743
the lambda is 2.0
the regulation term lambda/alpha is 7.849008043393104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3131207081232934
the lambda is 2.0
the regulation term lambda/alpha is 6.387313097198562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24359326256073674
the lambda is 2.0
the regulation term lambda/alpha is 8.210407705760444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.34133740133512597
the lambda is 2.0
the regulation term lambda/alpha is 5.859305168953328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2701725788586101
the lambda is 2.0
the regulation term lambda/alpha is 7.402675758025996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20266891361602926
the lambda is 2.0
the regulation term lambda/alpha is 9.868311643438041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24963739441997237
the lambda is 2.0
the regulation term lambda/alpha is 8.01162023280591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2829212191113239
the lambda is 2.0
the regulation term lambda/alpha is 7.069105690559885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.42458851989529917
the lambda is 2.0
the regulation term lambda/alpha is 4.710442949548394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3608824031466066
the lambda is 2.0
the regulation term lambda/alpha is 5.5419715191475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17732798513724685
the lambda is 2.0
the regulation term lambda/alpha is 11.278535638083614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2720200343606866
the lambda is 2.0
the regulation term lambda/alpha is 7.352399630051101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.26465075860234105
the lambda is 2.0
the regulation term lambda/alpha is 7.557129292061316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.374991367629181
the lambda is 2.0
the regulation term lambda/alpha is 5.333456107655648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24941665645831096
the lambda is 2.0
the regulation term lambda/alpha is 8.018710652286739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.38174615495962333
the lambda is 2.0
the regulation term lambda/alpha is 5.239083548101583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2424872829548103
the lambda is 2.0
the regulation term lambda/alpha is 8.24785520968008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2443482967987235
the lambda is 2.0
the regulation term lambda/alpha is 8.185037613122615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24312919748371611
the lambda is 2.0
the regulation term lambda/alpha is 8.226079058785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.4681066875699477
the lambda is 2.0
the regulation term lambda/alpha is 4.272530286594434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.1923531347599762
the lambda is 2.0
the regulation term lambda/alpha is 10.397543052758968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5179014726708913
the lambda is 2.0
the regulation term lambda/alpha is 3.8617383914467682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2701958027442081
the lambda is 2.0
the regulation term lambda/alpha is 7.402039482801965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2287625202570934
the lambda is 2.0
the regulation term lambda/alpha is 8.742690882021723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3096357346471858
the lambda is 2.0
the regulation term lambda/alpha is 6.459202786393174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.208436831148738
the lambda is 2.0
the regulation term lambda/alpha is 9.595233188767988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2841599931617472
the lambda is 2.0
the regulation term lambda/alpha is 7.038288457663272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.3178268517816484
the lambda is 2.0
the regulation term lambda/alpha is 6.292734514999472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.19357304106616213
the lambda is 2.0
the regulation term lambda/alpha is 10.332017252941807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4548352862356004
the lambda is 2.0
the regulation term lambda/alpha is 4.397196217014743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4955128899912742
the lambda is 2.0
the regulation term lambda/alpha is 4.036221943762592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.321010566654799
the lambda is 2.0
the regulation term lambda/alpha is 6.230324505643811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.162296322055498
the lambda is 2.0
the regulation term lambda/alpha is 12.323138162774203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.20674566434782968
the lambda is 2.0
the regulation term lambda/alpha is 9.673721605282095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2794737181762495
the lambda is 2.0
the regulation term lambda/alpha is 7.156307981485058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2097228242502472
the lambda is 2.0
the regulation term lambda/alpha is 9.536396465906561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.26490957616958677
the lambda is 2.0
the regulation term lambda/alpha is 7.549745950745333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2605622253520382
the lambda is 2.0
the regulation term lambda/alpha is 7.675709697742476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19891157984646363
the lambda is 2.0
the regulation term lambda/alpha is 10.054718792861456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4523740156035873
the lambda is 2.0
the regulation term lambda/alpha is 4.4211204247252525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24534825743560826
the lambda is 2.0
the regulation term lambda/alpha is 8.151678030665861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3450261020084042
the lambda is 2.0
the regulation term lambda/alpha is 5.7966628853815925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19589591101853462
the lambda is 2.0
the regulation term lambda/alpha is 10.209503555236386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2219349931123653
the lambda is 2.0
the regulation term lambda/alpha is 9.011647834135843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.13323257042044706
the lambda is 2.0
the regulation term lambda/alpha is 15.01134440091131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.20252640557322438
the lambda is 2.0
the regulation term lambda/alpha is 9.875255497372121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3428537381753953
the lambda is 2.0
the regulation term lambda/alpha is 5.833391260785527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3141697335986276
the lambda is 2.0
the regulation term lambda/alpha is 6.365985599857722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.17940970161648073
the lambda is 2.0
the regulation term lambda/alpha is 11.147669172737078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3013271133031741
the lambda is 2.0
the regulation term lambda/alpha is 6.63730514680815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23098271354354064
the lambda is 2.0
the regulation term lambda/alpha is 8.658656612513111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28073805208562636
the lambda is 2.0
the regulation term lambda/alpha is 7.124078781418598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4564076276185055
the lambda is 2.0
the regulation term lambda/alpha is 4.382047711244053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4567103430781666
the lambda is 2.0
the regulation term lambda/alpha is 4.379143214756792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.33829673274982114
the lambda is 2.0
the regulation term lambda/alpha is 5.911969600602232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2706870845653726
the lambda is 2.0
the regulation term lambda/alpha is 7.388605197810935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.27273126084347393
the lambda is 2.0
the regulation term lambda/alpha is 7.333226098888022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.31878659637047485
the lambda is 2.0
the regulation term lambda/alpha is 6.273789496706815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2544261526514324
the lambda is 2.0
the regulation term lambda/alpha is 7.8608271168570845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4388594554889319
the lambda is 2.0
the regulation term lambda/alpha is 4.557267651375556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4103789261248387
the lambda is 2.0
the regulation term lambda/alpha is 4.873544601536368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18716118431553508
the lambda is 2.0
the regulation term lambda/alpha is 10.685976407523686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.31495616217883904
the lambda is 2.0
the regulation term lambda/alpha is 6.350090076549625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.30287067411701923
the lambda is 2.0
the regulation term lambda/alpha is 6.603478550146014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1890629502975161
the lambda is 2.0
the regulation term lambda/alpha is 10.578487201499446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.27418537395349274
the lambda is 2.0
the regulation term lambda/alpha is 7.294335110446991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.5058126841966252
the lambda is 2.0
the regulation term lambda/alpha is 3.9540329107732255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32143704641816534
the lambda is 2.0
the regulation term lambda/alpha is 6.222058167489975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4669800989503275
the lambda is 2.0
the regulation term lambda/alpha is 4.28283775795923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.37066934261673634
the lambda is 2.0
the regulation term lambda/alpha is 5.3956445005163385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2868954867321446
the lambda is 2.0
the regulation term lambda/alpha is 6.971179723950374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2559026963056851
the lambda is 2.0
the regulation term lambda/alpha is 7.815470602196888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  10  iterations
the alpha is 0.34049503183232716
the lambda is 2.0
the regulation term lambda/alpha is 5.873800828274279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.44463792873988894
the lambda is 2.0
the regulation term lambda/alpha is 4.498041823980317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3810397345700002
the lambda is 2.0
the regulation term lambda/alpha is 5.24879643393879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.26209276809578047
the lambda is 2.0
the regulation term lambda/alpha is 7.630885867362468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3564513242182563
the lambda is 2.0
the regulation term lambda/alpha is 5.610864272664038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.32948014439479695
the lambda is 2.0
the regulation term lambda/alpha is 6.070168518572445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.26588722266114334
the lambda is 2.0
the regulation term lambda/alpha is 7.52198612623396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.48251206338917524
the lambda is 2.0
the regulation term lambda/alpha is 4.144974088216482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4458421403276497
the lambda is 2.0
the regulation term lambda/alpha is 4.485892694060276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16979888807961543
the lambda is 2.0
the regulation term lambda/alpha is 11.778640146702482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22161191244668818
the lambda is 2.0
the regulation term lambda/alpha is 9.024785616978635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24629808832553932
the lambda is 2.0
the regulation term lambda/alpha is 8.12024166974671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2827170434811187
the lambda is 2.0
the regulation term lambda/alpha is 7.07421093321376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.2984831622916993
the lambda is 2.0
the regulation term lambda/alpha is 6.700545466767253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2828311888364534
the lambda is 2.0
the regulation term lambda/alpha is 7.071355914557556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.37078930309172886
the lambda is 2.0
the regulation term lambda/alpha is 5.3938988620316906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.25633147403721546
the lambda is 2.0
the regulation term lambda/alpha is 7.802397296360221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3359216189574466
the lambda is 2.0
the regulation term lambda/alpha is 5.9537698294236705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22404764605508515
the lambda is 2.0
the regulation term lambda/alpha is 8.926672675276727
80
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30087672693844475
the lambda is 2.0
the regulation term lambda/alpha is 6.647240616949321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24408699927694097
the lambda is 2.0
the regulation term lambda/alpha is 8.193799776000365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25095874066257756
the lambda is 2.0
the regulation term lambda/alpha is 7.969437504825015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3008649048598258
the lambda is 2.0
the regulation term lambda/alpha is 6.647501811259137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30409370850790296
the lambda is 2.0
the regulation term lambda/alpha is 6.576920021836042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2920268495775382
the lambda is 2.0
the regulation term lambda/alpha is 6.8486853277132145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3647152878324513
the lambda is 2.0
the regulation term lambda/alpha is 5.483729546645141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3322200151778495
the lambda is 2.0
the regulation term lambda/alpha is 6.020106882871964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3758437258257724
the lambda is 2.0
the regulation term lambda/alpha is 5.321360614989028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34368312793267536
the lambda is 2.0
the regulation term lambda/alpha is 5.819313889600607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2923688518784399
the lambda is 2.0
the regulation term lambda/alpha is 6.840673988183778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24449247372851063
the lambda is 2.0
the regulation term lambda/alpha is 8.180210905881873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.44174960833276744
the lambda is 2.0
the regulation term lambda/alpha is 4.527451665544911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24135374767648707
the lambda is 2.0
the regulation term lambda/alpha is 8.286591856368519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29322489829326454
the lambda is 2.0
the regulation term lambda/alpha is 6.820703192809124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3221001420775333
the lambda is 2.0
the regulation term lambda/alpha is 6.209249046275107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.4277108750901983
the lambda is 2.0
the regulation term lambda/alpha is 4.67605599127735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4383126444431716
the lambda is 2.0
the regulation term lambda/alpha is 4.562953009354275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30510284973400764
the lambda is 2.0
the regulation term lambda/alpha is 6.555166566761419
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2710284573392119
the lambda is 2.0
the regulation term lambda/alpha is 7.379298910655917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21636538967880614
the lambda is 2.0
the regulation term lambda/alpha is 9.243622572764501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2337577642402008
the lambda is 2.0
the regulation term lambda/alpha is 8.555865540983161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3062858672667807
the lambda is 2.0
the regulation term lambda/alpha is 6.529847484794206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2527726727719296
the lambda is 2.0
the regulation term lambda/alpha is 7.912247704895495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30400189169167807
the lambda is 2.0
the regulation term lambda/alpha is 6.578906430057419
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3816845022543021
the lambda is 2.0
the regulation term lambda/alpha is 5.239929806391444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4068147463972855
the lambda is 2.0
the regulation term lambda/alpha is 4.916242633070258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2958692058813825
the lambda is 2.0
the regulation term lambda/alpha is 6.759743698375369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29059072161999633
the lambda is 2.0
the regulation term lambda/alpha is 6.882532204918048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.18579131356704154
the lambda is 2.0
the regulation term lambda/alpha is 10.764765917209115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5739508108682232
the lambda is 2.0
the regulation term lambda/alpha is 3.4846191731562723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2691262244448552
the lambda is 2.0
the regulation term lambda/alpha is 7.4314571317809515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19940269997908355
the lambda is 2.0
the regulation term lambda/alpha is 10.029954460043877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23508575715196237
the lambda is 2.0
the regulation term lambda/alpha is 8.507533694213448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19935766770174623
the lambda is 2.0
the regulation term lambda/alpha is 10.032220094950887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24251432078516433
the lambda is 2.0
the regulation term lambda/alpha is 8.246935659406835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.24386693909415758
the lambda is 2.0
the regulation term lambda/alpha is 8.201193681394408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3956603644959144
the lambda is 2.0
the regulation term lambda/alpha is 5.054840412301779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.440898120982021
the lambda is 2.0
the regulation term lambda/alpha is 4.536195335887031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22624870842930545
the lambda is 2.0
the regulation term lambda/alpha is 8.8398294685732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2979155084129681
the lambda is 2.0
the regulation term lambda/alpha is 6.713312813603567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3156248673077484
the lambda is 2.0
the regulation term lambda/alpha is 6.336636327358548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1714168854149437
the lambda is 2.0
the regulation term lambda/alpha is 11.66746201903424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.3124243565210742
the lambda is 2.0
the regulation term lambda/alpha is 6.401549553531984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3677258798036732
the lambda is 2.0
the regulation term lambda/alpha is 5.438833951713676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24823158545636734
the lambda is 2.0
the regulation term lambda/alpha is 8.056992410224717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2952134430110506
the lambda is 2.0
the regulation term lambda/alpha is 6.774759237251722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3755015713477963
the lambda is 2.0
the regulation term lambda/alpha is 5.326209402590126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3693883812306273
the lambda is 2.0
the regulation term lambda/alpha is 5.414355463311939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.33939741003362417
the lambda is 2.0
the regulation term lambda/alpha is 5.89279688316378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2651274667847131
the lambda is 2.0
the regulation term lambda/alpha is 7.5435413171432195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28058176101023125
the lambda is 2.0
the regulation term lambda/alpha is 7.128047071908823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5154972064896215
the lambda is 2.0
the regulation term lambda/alpha is 3.879749443492408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.37829491341184
the lambda is 2.0
the regulation term lambda/alpha is 5.286880497445788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.35812929147836237
the lambda is 2.0
the regulation term lambda/alpha is 5.5845753128541205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30178430317820915
the lambda is 2.0
the regulation term lambda/alpha is 6.627249922998691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.23089357562286136
the lambda is 2.0
the regulation term lambda/alpha is 8.66199934149218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2478967615823446
the lambda is 2.0
the regulation term lambda/alpha is 8.067874655698775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39229147694180144
the lambda is 2.0
the regulation term lambda/alpha is 5.0982499431072545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32408347262197057
the lambda is 2.0
the regulation term lambda/alpha is 6.171249597577948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.28729457547815807
the lambda is 2.0
the regulation term lambda/alpha is 6.9614958676866925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.34390790805074534
the lambda is 2.0
the regulation term lambda/alpha is 5.81551035373368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24674091692848923
the lambda is 2.0
the regulation term lambda/alpha is 8.10566818384501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.43702223904272935
the lambda is 2.0
the regulation term lambda/alpha is 4.576426143394621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2547377587484903
the lambda is 2.0
the regulation term lambda/alpha is 7.851211417678585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3082201093152029
the lambda is 2.0
the regulation term lambda/alpha is 6.488869283848997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21933396014303094
the lambda is 2.0
the regulation term lambda/alpha is 9.118514974588386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.38379303900145584
the lambda is 2.0
the regulation term lambda/alpha is 5.211141935256448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.33356968130615344
the lambda is 2.0
the regulation term lambda/alpha is 5.995748750811621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21188150324553284
the lambda is 2.0
the regulation term lambda/alpha is 9.439238297655256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3585129890071033
the lambda is 2.0
the regulation term lambda/alpha is 5.578598436667447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4423933165958683
the lambda is 2.0
the regulation term lambda/alpha is 4.52086395741603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.16428804428900656
the lambda is 2.0
the regulation term lambda/alpha is 12.173740387838016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.33690136007054755
the lambda is 2.0
the regulation term lambda/alpha is 5.936455701993004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1892979841868082
the lambda is 2.0
the regulation term lambda/alpha is 10.565352867288356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.47711087041860506
the lambda is 2.0
the regulation term lambda/alpha is 4.191897783098613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3184245982663043
the lambda is 2.0
the regulation term lambda/alpha is 6.280921797151373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22189649652847168
the lambda is 2.0
the regulation term lambda/alpha is 9.013211255200591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.18693799232800734
the lambda is 2.0
the regulation term lambda/alpha is 10.698734778806955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.268807682969459
the lambda is 2.0
the regulation term lambda/alpha is 7.440263529324915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3087735580482947
the lambda is 2.0
the regulation term lambda/alpha is 6.477238571339012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.32938998580344914
the lambda is 2.0
the regulation term lambda/alpha is 6.071830007586883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2954960198204532
the lambda is 2.0
the regulation term lambda/alpha is 6.768280673341127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.259705991912908
the lambda is 2.0
the regulation term lambda/alpha is 7.701016003784376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3221918233446775
the lambda is 2.0
the regulation term lambda/alpha is 6.20748217393593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.32199096775593933
the lambda is 2.0
the regulation term lambda/alpha is 6.211354355492193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28360613564760184
the lambda is 2.0
the regulation term lambda/alpha is 7.052033607922798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.32195513747175913
the lambda is 2.0
the regulation term lambda/alpha is 6.212045615129945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.28368481957126396
the lambda is 2.0
the regulation term lambda/alpha is 7.050077628484395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3914220824489872
the lambda is 2.0
the regulation term lambda/alpha is 5.109573755999455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21782701862698278
the lambda is 2.0
the regulation term lambda/alpha is 9.181597455662256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1940995951865836
the lambda is 2.0
the regulation term lambda/alpha is 10.30398851722202
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2806591866864784
the lambda is 2.0
the regulation term lambda/alpha is 7.126080651812693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2600905191216805
the lambda is 2.0
the regulation term lambda/alpha is 7.689630543835094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25035698322215405
the lambda is 2.0
the regulation term lambda/alpha is 7.9885928255706045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.26452452202402144
the lambda is 2.0
the regulation term lambda/alpha is 7.560735710613552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.1918260108257659
the lambda is 2.0
the regulation term lambda/alpha is 10.42611474528647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2760633698640161
the lambda is 2.0
the regulation term lambda/alpha is 7.244713418463176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2412350835687057
the lambda is 2.0
the regulation term lambda/alpha is 8.290668050488534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22528830300932834
the lambda is 2.0
the regulation term lambda/alpha is 8.877513715912661
90
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.41078063850916113
the lambda is 2.0
the regulation term lambda/alpha is 4.868778643654103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.35484477431475897
the lambda is 2.0
the regulation term lambda/alpha is 5.636267305506194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33326440932029394
the lambda is 2.0
the regulation term lambda/alpha is 6.00124088881582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3031005219348423
the lambda is 2.0
the regulation term lambda/alpha is 6.598470986565774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3245892093150745
the lambda is 2.0
the regulation term lambda/alpha is 6.161634282976506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2729868859690579
the lambda is 2.0
the regulation term lambda/alpha is 7.3263592604470125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2611227624252114
the lambda is 2.0
the regulation term lambda/alpha is 7.6592326973900775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2695824488654189
the lambda is 2.0
the regulation term lambda/alpha is 7.4188806000439635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2103345134216709
the lambda is 2.0
the regulation term lambda/alpha is 9.508662974347313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17058230550101022
the lambda is 2.0
the regulation term lambda/alpha is 11.72454548627352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23531155699195344
the lambda is 2.0
the regulation term lambda/alpha is 8.499370050355795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3365794049370233
the lambda is 2.0
the regulation term lambda/alpha is 5.942134220524324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26104781162773116
the lambda is 2.0
the regulation term lambda/alpha is 7.66143177960102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.256670622001089
the lambda is 2.0
the regulation term lambda/alpha is 7.792087713067195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21840642373981078
the lambda is 2.0
the regulation term lambda/alpha is 9.157239818104504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23494115826244633
the lambda is 2.0
the regulation term lambda/alpha is 8.51276981347753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4211191243067906
the lambda is 2.0
the regulation term lambda/alpha is 4.749249997354608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42013831754466296
the lambda is 2.0
the regulation term lambda/alpha is 4.760337052064739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3178326311445253
the lambda is 2.0
the regulation term lambda/alpha is 6.292620090007552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34935488743290255
the lambda is 2.0
the regulation term lambda/alpha is 5.724837613397128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3189749236906466
the lambda is 2.0
the regulation term lambda/alpha is 6.270085362383132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.303774732213569
the lambda is 2.0
the regulation term lambda/alpha is 6.583826065539576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2896382783680013
the lambda is 2.0
the regulation term lambda/alpha is 6.905164646293368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.32683907276276747
the lambda is 2.0
the regulation term lambda/alpha is 6.119219416130451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24490647350842915
the lambda is 2.0
the regulation term lambda/alpha is 8.166382747457936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23682687760925367
the lambda is 2.0
the regulation term lambda/alpha is 8.44498741101442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2445157293900588
the lambda is 2.0
the regulation term lambda/alpha is 8.179432893699612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2808899931641041
the lambda is 2.0
the regulation term lambda/alpha is 7.120225172391748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25374542158417585
the lambda is 2.0
the regulation term lambda/alpha is 7.881915612560257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.27698851015677894
the lambda is 2.0
the regulation term lambda/alpha is 7.220516110462398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38856257297318203
the lambda is 2.0
the regulation term lambda/alpha is 5.1471761284070885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33138934668359404
the lambda is 2.0
the regulation term lambda/alpha is 6.035197027349139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31955552915448926
the lambda is 2.0
the regulation term lambda/alpha is 6.258693145732112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30376761302300304
the lambda is 2.0
the regulation term lambda/alpha is 6.583980366098306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2722211218776793
the lambda is 2.0
the regulation term lambda/alpha is 7.3469684725591815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.188045250817447
the lambda is 2.0
the regulation term lambda/alpha is 10.635737894500648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.26871150207603905
the lambda is 2.0
the regulation term lambda/alpha is 7.442926650136647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28230087079447463
the lambda is 2.0
the regulation term lambda/alpha is 7.084639853824869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.31552245928477785
the lambda is 2.0
the regulation term lambda/alpha is 6.338692987287097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.253855175631852
the lambda is 2.0
the regulation term lambda/alpha is 7.8785078737195295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3872516661290526
the lambda is 2.0
the regulation term lambda/alpha is 5.164600116487285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30613538321700345
the lambda is 2.0
the regulation term lambda/alpha is 6.533057299627152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39265682305105004
the lambda is 2.0
the regulation term lambda/alpha is 5.0935062950376295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28163081868403955
the lambda is 2.0
the regulation term lambda/alpha is 7.1014955300179405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3148637473130784
the lambda is 2.0
the regulation term lambda/alpha is 6.351953875500758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29142347087126175
the lambda is 2.0
the regulation term lambda/alpha is 6.862865211304525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3565239733699849
the lambda is 2.0
the regulation term lambda/alpha is 5.609720942733037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3328440092034092
the lambda is 2.0
the regulation term lambda/alpha is 6.008820783004541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28768965066640023
the lambda is 2.0
the regulation term lambda/alpha is 6.951935863411243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30637080290218144
the lambda is 2.0
the regulation term lambda/alpha is 6.528037205420528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.45738738584665867
the lambda is 2.0
the regulation term lambda/alpha is 4.372661035017065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19473436268683222
the lambda is 2.0
the regulation term lambda/alpha is 10.270401034543445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24438393061425334
the lambda is 2.0
the regulation term lambda/alpha is 8.183844146270363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23029766279822958
the lambda is 2.0
the regulation term lambda/alpha is 8.684412927595613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29762763500511213
the lambda is 2.0
the regulation term lambda/alpha is 6.7198061092870205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21147611952075718
the lambda is 2.0
the regulation term lambda/alpha is 9.457332603474844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25584806251827463
the lambda is 2.0
the regulation term lambda/alpha is 7.8171395175491885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3441840297962751
the lambda is 2.0
the regulation term lambda/alpha is 5.8108448587338986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2140817825530949
the lambda is 2.0
the regulation term lambda/alpha is 9.342224154472254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3002921999896626
the lambda is 2.0
the regulation term lambda/alpha is 6.660179651915198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21307679522849005
the lambda is 2.0
the regulation term lambda/alpha is 9.386287220320387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22759792972903964
the lambda is 2.0
the regulation term lambda/alpha is 8.787426152694113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3000500576569386
the lambda is 2.0
the regulation term lambda/alpha is 6.6655544598718075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.3116183930032096
the lambda is 2.0
the regulation term lambda/alpha is 6.418106392004276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5177159666185372
the lambda is 2.0
the regulation term lambda/alpha is 3.863122115130046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22204596515330827
the lambda is 2.0
the regulation term lambda/alpha is 9.007144077664867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.36035348079173907
the lambda is 2.0
the regulation term lambda/alpha is 5.550105955979014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.24446683206054548
the lambda is 2.0
the regulation term lambda/alpha is 8.18106891287679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5605275731783644
the lambda is 2.0
the regulation term lambda/alpha is 3.5680671133792443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2864376104177315
the lambda is 2.0
the regulation term lambda/alpha is 6.982323295754575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3918254961455907
the lambda is 2.0
the regulation term lambda/alpha is 5.1043130671028605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4072177344901054
the lambda is 2.0
the regulation term lambda/alpha is 4.91137745389278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28154125343384695
the lambda is 2.0
the regulation term lambda/alpha is 7.103754691743372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3953894695779971
the lambda is 2.0
the regulation term lambda/alpha is 5.058303657238567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21920512282813157
the lambda is 2.0
the regulation term lambda/alpha is 9.123874361130264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.22856417317853356
the lambda is 2.0
the regulation term lambda/alpha is 8.750277754325836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2707440224621708
the lambda is 2.0
the regulation term lambda/alpha is 7.387051362433851
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3420472303386221
the lambda is 2.0
the regulation term lambda/alpha is 5.847145723179887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2657837271221194
the lambda is 2.0
the regulation term lambda/alpha is 7.524915169396589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3589360113471541
the lambda is 2.0
the regulation term lambda/alpha is 5.572023805841117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2817578090347281
the lambda is 2.0
the regulation term lambda/alpha is 7.098294832898455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.37785119100007
the lambda is 2.0
the regulation term lambda/alpha is 5.293089045733958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22620119275603184
the lambda is 2.0
the regulation term lambda/alpha is 8.841686357317709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3762330844187381
the lambda is 2.0
the regulation term lambda/alpha is 5.315853609976654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2335806749379614
the lambda is 2.0
the regulation term lambda/alpha is 8.562352174601758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  9  iterations
the alpha is 0.22934849296192344
the lambda is 2.0
the regulation term lambda/alpha is 8.720353790735572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29396439673781305
the lambda is 2.0
the regulation term lambda/alpha is 6.803544994545039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2761206437531447
the lambda is 2.0
the regulation term lambda/alpha is 7.243210695206204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29990466113317144
the lambda is 2.0
the regulation term lambda/alpha is 6.6687859816620465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24800028841043747
the lambda is 2.0
the regulation term lambda/alpha is 8.064506750451935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2812921890089763
the lambda is 2.0
the regulation term lambda/alpha is 7.11004456627901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21056614964280546
the lambda is 2.0
the regulation term lambda/alpha is 9.49820283741098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30107482506871497
the lambda is 2.0
the regulation term lambda/alpha is 6.642866933638625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2918069281620014
the lambda is 2.0
the regulation term lambda/alpha is 6.85384686579363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2307040576937134
the lambda is 2.0
the regulation term lambda/alpha is 8.669114969166401
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4363685365264312
the lambda is 2.0
the regulation term lambda/alpha is 4.583281865187497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.17606021942113445
the lambda is 2.0
the regulation term lambda/alpha is 11.359749559416475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.1974431806836293
the lambda is 2.0
the regulation term lambda/alpha is 10.129496461084042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2641817416142158
the lambda is 2.0
the regulation term lambda/alpha is 7.5705458968492865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22482496892117979
the lambda is 2.0
the regulation term lambda/alpha is 8.895809080267991
100
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24151529916685466
the lambda is 2.0
the regulation term lambda/alpha is 8.281048889653439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2672613242319675
the lambda is 2.0
the regulation term lambda/alpha is 7.483312468601385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23372570350529906
the lambda is 2.0
the regulation term lambda/alpha is 8.557039170296713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4269906319087078
the lambda is 2.0
the regulation term lambda/alpha is 4.683943511968215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.45043416499108324
the lambda is 2.0
the regulation term lambda/alpha is 4.440160528319587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.23345863910683445
the lambda is 2.0
the regulation term lambda/alpha is 8.566827972833199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33012859623122065
the lambda is 2.0
the regulation term lambda/alpha is 6.058245249978916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23553801938618243
the lambda is 2.0
the regulation term lambda/alpha is 8.491198173492528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34819884745095714
the lambda is 2.0
the regulation term lambda/alpha is 5.743844399949356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4647174520657296
the lambda is 2.0
the regulation term lambda/alpha is 4.303690320020777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26879632352416366
the lambda is 2.0
the regulation term lambda/alpha is 7.4405779579801745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3668292623716112
the lambda is 2.0
the regulation term lambda/alpha is 5.452127747578459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2987739405480333
the lambda is 2.0
the regulation term lambda/alpha is 6.6940242389662625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.31190808455030067
the lambda is 2.0
the regulation term lambda/alpha is 6.412145433432857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39603545269709256
the lambda is 2.0
the regulation term lambda/alpha is 5.050052934351053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3333546170411544
the lambda is 2.0
the regulation term lambda/alpha is 5.999616917719456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38855974567350693
the lambda is 2.0
the regulation term lambda/alpha is 5.147213581101449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3236022374497469
the lambda is 2.0
the regulation term lambda/alpha is 6.18042698271079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22790540573951526
the lambda is 2.0
the regulation term lambda/alpha is 8.775570695703033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29262952403865194
the lambda is 2.0
the regulation term lambda/alpha is 6.834580367686447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.45074325478100313
the lambda is 2.0
the regulation term lambda/alpha is 4.437115761103767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19195903557011937
the lambda is 2.0
the regulation term lambda/alpha is 10.418889603503109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26604774886641835
the lambda is 2.0
the regulation term lambda/alpha is 7.51744755789756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32629118201964863
the lambda is 2.0
the regulation term lambda/alpha is 6.129494482874391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32763181326525287
the lambda is 2.0
the regulation term lambda/alpha is 6.104413304884977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.26404885864973665
the lambda is 2.0
the regulation term lambda/alpha is 7.5743557848626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3749769754126929
the lambda is 2.0
the regulation term lambda/alpha is 5.333660814237557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3677526969341545
the lambda is 2.0
the regulation term lambda/alpha is 5.438437343011781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2489460692833035
the lambda is 2.0
the regulation term lambda/alpha is 8.033868563411527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3165657028582994
the lambda is 2.0
the regulation term lambda/alpha is 6.3178037985221565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.279379934688487
the lambda is 2.0
the regulation term lambda/alpha is 7.158710242487641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3248103579932841
the lambda is 2.0
the regulation term lambda/alpha is 6.157439104947979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2306305973012133
the lambda is 2.0
the regulation term lambda/alpha is 8.67187625320987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3323469818704412
the lambda is 2.0
the regulation term lambda/alpha is 6.017807018267613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19371749028522464
the lambda is 2.0
the regulation term lambda/alpha is 10.324312983072677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28128494232246803
the lambda is 2.0
the regulation term lambda/alpha is 7.110227740904733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4491350081222253
the lambda is 2.0
the regulation term lambda/alpha is 4.453004027367491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.253995062750961
the lambda is 2.0
the regulation term lambda/alpha is 7.874168806032954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.234816642737737
the lambda is 2.0
the regulation term lambda/alpha is 8.51728385467877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2061571499665439
the lambda is 2.0
the regulation term lambda/alpha is 9.701337064101676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3149488074535725
the lambda is 2.0
the regulation term lambda/alpha is 6.350238364673998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33054014368111606
the lambda is 2.0
the regulation term lambda/alpha is 6.050702276966007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3827390550472377
the lambda is 2.0
the regulation term lambda/alpha is 5.225492339038042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19538274676918282
the lambda is 2.0
the regulation term lambda/alpha is 10.236318370335525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2202846271517103
the lambda is 2.0
the regulation term lambda/alpha is 9.079162835192296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.40179841073408284
the lambda is 2.0
the regulation term lambda/alpha is 4.977620484725199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2679398292839022
the lambda is 2.0
the regulation term lambda/alpha is 7.464362447886951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38578860933725556
the lambda is 2.0
the regulation term lambda/alpha is 5.18418623980576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3775109489535845
the lambda is 2.0
the regulation term lambda/alpha is 5.297859586705399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.3969289144831407
the lambda is 2.0
the regulation term lambda/alpha is 5.038685585816522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29327741044725836
the lambda is 2.0
the regulation term lambda/alpha is 6.819481926514318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28445581351144433
the lambda is 2.0
the regulation term lambda/alpha is 7.030968976556126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22952149875319947
the lambda is 2.0
the regulation term lambda/alpha is 8.71378067355061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39170675285105816
the lambda is 2.0
the regulation term lambda/alpha is 5.105860405629709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3063677910278855
the lambda is 2.0
the regulation term lambda/alpha is 6.528101381969231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23377205015742664
the lambda is 2.0
the regulation term lambda/alpha is 8.55534268811503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3126623854590934
the lambda is 2.0
the regulation term lambda/alpha is 6.396676073021474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3353326645652814
the lambda is 2.0
the regulation term lambda/alpha is 5.964226606414142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.368002629681607
the lambda is 2.0
the regulation term lambda/alpha is 5.4347437727017995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21155878583592136
the lambda is 2.0
the regulation term lambda/alpha is 9.45363716329484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2662134723106408
the lambda is 2.0
the regulation term lambda/alpha is 7.512767789851852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2956971013884322
the lambda is 2.0
the regulation term lambda/alpha is 6.763678069920509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26065756395934975
the lambda is 2.0
the regulation term lambda/alpha is 7.67290221553634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.25523287977684056
the lambda is 2.0
the regulation term lambda/alpha is 7.835981013687081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36152885289857944
the lambda is 2.0
the regulation term lambda/alpha is 5.532061919719212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19823851535078788
the lambda is 2.0
the regulation term lambda/alpha is 10.088856832190007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23914297506996776
the lambda is 2.0
the regulation term lambda/alpha is 8.363197787494471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4045101564574391
the lambda is 2.0
the regulation term lambda/alpha is 4.9442516289709815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35079923239811667
the lambda is 2.0
the regulation term lambda/alpha is 5.701266751149075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.35488795437953774
the lambda is 2.0
the regulation term lambda/alpha is 5.635581527405363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40093333233036493
the lambda is 2.0
the regulation term lambda/alpha is 4.988360504663705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3797833678765018
the lambda is 2.0
the regulation term lambda/alpha is 5.26616005114358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.39979467453318673
the lambda is 2.0
the regulation term lambda/alpha is 5.002567886466385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.17861943586330742
the lambda is 2.0
the regulation term lambda/alpha is 11.196989791920211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2843580796279138
the lambda is 2.0
the regulation term lambda/alpha is 7.033385520879257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32391673298841506
the lambda is 2.0
the regulation term lambda/alpha is 6.17442631489967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34030540906381307
the lambda is 2.0
the regulation term lambda/alpha is 5.877073789400056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30761728805425237
the lambda is 2.0
the regulation term lambda/alpha is 6.501585176341824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4735182779583513
the lambda is 2.0
the regulation term lambda/alpha is 4.223701793779356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35347526171096133
the lambda is 2.0
the regulation term lambda/alpha is 5.658104587911476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22543739587896663
the lambda is 2.0
the regulation term lambda/alpha is 8.871642578207233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.40902497449996816
the lambda is 2.0
the regulation term lambda/alpha is 4.889676974969546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2771684767424025
the lambda is 2.0
the regulation term lambda/alpha is 7.215827800860554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3468822956844951
the lambda is 2.0
the regulation term lambda/alpha is 5.765644499248498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2859451273060228
the lambda is 2.0
the regulation term lambda/alpha is 6.99434894674589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2841525258593578
the lambda is 2.0
the regulation term lambda/alpha is 7.038473418286299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20955639070564402
the lambda is 2.0
the regulation term lambda/alpha is 9.54397044759816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2964858011204145
the lambda is 2.0
the regulation term lambda/alpha is 6.745685602622574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23961697872246365
the lambda is 2.0
the regulation term lambda/alpha is 8.346653941899918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2577578999306225
the lambda is 2.0
the regulation term lambda/alpha is 7.759219021175745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28700145628404977
the lambda is 2.0
the regulation term lambda/alpha is 6.9686057551588485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5272012102365
the lambda is 2.0
the regulation term lambda/alpha is 3.7936179985300287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19396262124311917
the lambda is 2.0
the regulation term lambda/alpha is 10.311265063247077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2549214725513363
the lambda is 2.0
the regulation term lambda/alpha is 7.845553299152696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.41432464925138374
the lambda is 2.0
the regulation term lambda/alpha is 4.8271325483860785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36301097175328567
the lambda is 2.0
the regulation term lambda/alpha is 5.509475348197648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25296540431238584
the lambda is 2.0
the regulation term lambda/alpha is 7.9062194509815615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3284228960349533
the lambda is 2.0
the regulation term lambda/alpha is 6.089709408649586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.2381547882816088
the lambda is 2.0
the regulation term lambda/alpha is 8.39789959475884
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34633560026020677
the lambda is 2.0
the regulation term lambda/alpha is 5.774745646989141
110
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.5045722079206019
the lambda is 2.0
the regulation term lambda/alpha is 3.9637537870788053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4502017614405073
the lambda is 2.0
the regulation term lambda/alpha is 4.44245263190578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3304074810939674
the lambda is 2.0
the regulation term lambda/alpha is 6.053131706879249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29083915713809044
the lambda is 2.0
the regulation term lambda/alpha is 6.876653129105308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3858389971556124
the lambda is 2.0
the regulation term lambda/alpha is 5.183509222094992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2649333251610509
the lambda is 2.0
the regulation term lambda/alpha is 7.549069181025889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2812954834058789
the lambda is 2.0
the regulation term lambda/alpha is 7.109961296869516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2725452200400218
the lambda is 2.0
the regulation term lambda/alpha is 7.338231797667597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29095751936155706
the lambda is 2.0
the regulation term lambda/alpha is 6.873855689959705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23567538184097356
the lambda is 2.0
the regulation term lambda/alpha is 8.486249112559147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30173869483384425
the lambda is 2.0
the regulation term lambda/alpha is 6.6282516436989365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20048407743362995
the lambda is 2.0
the regulation term lambda/alpha is 9.975854569608392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32897519026283073
the lambda is 2.0
the regulation term lambda/alpha is 6.079485806823683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2928200891086779
the lambda is 2.0
the regulation term lambda/alpha is 6.830132475158545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2061708582010863
the lambda is 2.0
the regulation term lambda/alpha is 9.700692025297405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3730465638223132
the lambda is 2.0
the regulation term lambda/alpha is 5.361261016607635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29165473968509364
the lambda is 2.0
the regulation term lambda/alpha is 6.857423274380681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4481074702889376
the lambda is 2.0
the regulation term lambda/alpha is 4.46321503792474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3085602968820907
the lambda is 2.0
the regulation term lambda/alpha is 6.481715308837205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3417542231708375
the lambda is 2.0
the regulation term lambda/alpha is 5.852158845159996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.30365948765080264
the lambda is 2.0
the regulation term lambda/alpha is 6.586324753007314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26258301333340656
the lambda is 2.0
the regulation term lambda/alpha is 7.61663892348041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3458021040140834
the lambda is 2.0
the regulation term lambda/alpha is 5.783654803669287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2008088903998801
the lambda is 2.0
the regulation term lambda/alpha is 9.959718397015724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25843578899765846
the lambda is 2.0
the regulation term lambda/alpha is 7.738866229623177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3291938943604334
the lambda is 2.0
the regulation term lambda/alpha is 6.075446824084186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2562470684269918
the lambda is 2.0
the regulation term lambda/alpha is 7.8049673398305695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.26256594888347995
the lambda is 2.0
the regulation term lambda/alpha is 7.617133937224849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27601554162872893
the lambda is 2.0
the regulation term lambda/alpha is 7.245968789287303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21587071948292333
the lambda is 2.0
the regulation term lambda/alpha is 9.264804438464903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3030596119094783
the lambda is 2.0
the regulation term lambda/alpha is 6.599361714346106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29221075129951846
the lambda is 2.0
the regulation term lambda/alpha is 6.844375133719783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2673172608145888
the lambda is 2.0
the regulation term lambda/alpha is 7.481746572987667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.20971546171585514
the lambda is 2.0
the regulation term lambda/alpha is 9.536731262618172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2673584234510324
the lambda is 2.0
the regulation term lambda/alpha is 7.480594679547498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2534152456207315
the lambda is 2.0
the regulation term lambda/alpha is 7.8921849989769655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33273022261214596
the lambda is 2.0
the regulation term lambda/alpha is 6.010875670682138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19508488023546972
the lambda is 2.0
the regulation term lambda/alpha is 10.251947755182139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32415623087362694
the lambda is 2.0
the regulation term lambda/alpha is 6.169864434226176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24070523008961833
the lambda is 2.0
the regulation term lambda/alpha is 8.308917921124392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2635317250478181
the lambda is 2.0
the regulation term lambda/alpha is 7.589219095488781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4253840407320221
the lambda is 2.0
the regulation term lambda/alpha is 4.701633837880472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36834031588185995
the lambda is 2.0
the regulation term lambda/alpha is 5.429761320619251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26589525003661835
the lambda is 2.0
the regulation term lambda/alpha is 7.521759037532884
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4642294195544221
the lambda is 2.0
the regulation term lambda/alpha is 4.308214679542812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.551710555625057
the lambda is 2.0
the regulation term lambda/alpha is 3.6250892421917005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2511651903388683
the lambda is 2.0
the regulation term lambda/alpha is 7.962886884530575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3350658620795909
the lambda is 2.0
the regulation term lambda/alpha is 5.96897573386609
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3138745735954794
the lambda is 2.0
the regulation term lambda/alpha is 6.371972017642927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2825247059874157
the lambda is 2.0
the regulation term lambda/alpha is 7.079026922654632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.21419844089883358
the lambda is 2.0
the regulation term lambda/alpha is 9.33713612296835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31911817284367694
the lambda is 2.0
the regulation term lambda/alpha is 6.267270779905471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.4276538834977593
the lambda is 2.0
the regulation term lambda/alpha is 4.676679149133645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.46267602637242605
the lambda is 2.0
the regulation term lambda/alpha is 4.3226791231887205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3609031055425142
the lambda is 2.0
the regulation term lambda/alpha is 5.541653616400929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2213304141009963
the lambda is 2.0
the regulation term lambda/alpha is 9.036263760331515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30115168473178094
the lambda is 2.0
the regulation term lambda/alpha is 6.641171547093581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35352925574608596
the lambda is 2.0
the regulation term lambda/alpha is 5.6572404334097115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36076154695510515
the lambda is 2.0
the regulation term lambda/alpha is 5.54382809609387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20565786508937736
the lambda is 2.0
the regulation term lambda/alpha is 9.72488943776021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28130962956468025
the lambda is 2.0
the regulation term lambda/alpha is 7.109603759725363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3435508698427921
the lambda is 2.0
the regulation term lambda/alpha is 5.821554173084162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3377887082693111
the lambda is 2.0
the regulation term lambda/alpha is 5.920861032469582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3003995993647647
the lambda is 2.0
the regulation term lambda/alpha is 6.657798493171325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2619654497852752
the lambda is 2.0
the regulation term lambda/alpha is 7.634594568250648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4555287604978362
the lambda is 2.0
the regulation term lambda/alpha is 4.3905021448354855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32135732104099995
the lambda is 2.0
the regulation term lambda/alpha is 6.223601794791016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30799900417894926
the lambda is 2.0
the regulation term lambda/alpha is 6.493527488283657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4011776898397972
the lambda is 2.0
the regulation term lambda/alpha is 4.98532209206016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24503724774965302
the lambda is 2.0
the regulation term lambda/alpha is 8.162024420235646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.255051447503358
the lambda is 2.0
the regulation term lambda/alpha is 7.8415551826016126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.251823105281124
the lambda is 2.0
the regulation term lambda/alpha is 7.942082986258508
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34009548936901945
the lambda is 2.0
the regulation term lambda/alpha is 5.880701339822554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4849445513844386
the lambda is 2.0
the regulation term lambda/alpha is 4.124182845833245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3403083511917172
the lambda is 2.0
the regulation term lambda/alpha is 5.8770229792958375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2632821415563625
the lambda is 2.0
the regulation term lambda/alpha is 7.596413445200754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.28796499786323093
the lambda is 2.0
the regulation term lambda/alpha is 6.94528854145635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36949596775828264
the lambda is 2.0
the regulation term lambda/alpha is 5.4127789597648945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4040606234730518
the lambda is 2.0
the regulation term lambda/alpha is 4.949752299071495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27401261387947173
the lambda is 2.0
the regulation term lambda/alpha is 7.2989340588522245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3528033756096866
the lambda is 2.0
the regulation term lambda/alpha is 5.668880000209068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.19190206073598687
the lambda is 2.0
the regulation term lambda/alpha is 10.421982923630718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2088247671020559
the lambda is 2.0
the regulation term lambda/alpha is 9.577408023745425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22033208771088494
the lambda is 2.0
the regulation term lambda/alpha is 9.077207141178443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29508552684800615
the lambda is 2.0
the regulation term lambda/alpha is 6.777696017026847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2778436613055618
the lambda is 2.0
the regulation term lambda/alpha is 7.198292703897523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2739389296467101
the lambda is 2.0
the regulation term lambda/alpha is 7.30089732985134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27137128382260184
the lambda is 2.0
the regulation term lambda/alpha is 7.369976556942629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3607028168099111
the lambda is 2.0
the regulation term lambda/alpha is 5.544730750062292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2906919045257237
the lambda is 2.0
the regulation term lambda/alpha is 6.8801365599192925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33744332771516933
the lambda is 2.0
the regulation term lambda/alpha is 5.926921161968178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38131844514352564
the lambda is 2.0
the regulation term lambda/alpha is 5.244960020874977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.18881496180093138
the lambda is 2.0
the regulation term lambda/alpha is 10.592380926404607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32471412064186045
the lambda is 2.0
the regulation term lambda/alpha is 6.159264019829541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.44935903886872675
the lambda is 2.0
the regulation term lambda/alpha is 4.4507839544856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32990011570080724
the lambda is 2.0
the regulation term lambda/alpha is 6.062441038407632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28503941448431586
the lambda is 2.0
the regulation term lambda/alpha is 7.016573492540797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33179429208364875
the lambda is 2.0
the regulation term lambda/alpha is 6.027831242786357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28497145877378205
the lambda is 2.0
the regulation term lambda/alpha is 7.018246699532297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3345078989210898
the lambda is 2.0
the regulation term lambda/alpha is 5.978932056464828
120
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3925495843464757
the lambda is 2.0
the regulation term lambda/alpha is 5.0948977651565714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27180033686533006
the lambda is 2.0
the regulation term lambda/alpha is 7.358342609380015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3681428790548218
the lambda is 2.0
the regulation term lambda/alpha is 5.432673328178572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2152199912099924
the lambda is 2.0
the regulation term lambda/alpha is 9.292817032264345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33133687413882024
the lambda is 2.0
the regulation term lambda/alpha is 6.036152798260721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3444929418515421
the lambda is 2.0
the regulation term lambda/alpha is 5.805634185857695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40072032155201204
the lambda is 2.0
the regulation term lambda/alpha is 4.991012165926323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26970355945758673
the lambda is 2.0
the regulation term lambda/alpha is 7.4155491459671214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23560453231825915
the lambda is 2.0
the regulation term lambda/alpha is 8.488801044363449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23908248342078428
the lambda is 2.0
the regulation term lambda/alpha is 8.365313808791283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2662761730058888
the lambda is 2.0
the regulation term lambda/alpha is 7.510998740228136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27122401419008385
the lambda is 2.0
the regulation term lambda/alpha is 7.3739783181526315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3051814791003911
the lambda is 2.0
the regulation term lambda/alpha is 6.553477641879077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32686814847781115
the lambda is 2.0
the regulation term lambda/alpha is 6.118675096713397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.41306802820185295
the lambda is 2.0
the regulation term lambda/alpha is 4.841817481508554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3445485794213058
the lambda is 2.0
the regulation term lambda/alpha is 5.804696694321435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38105929769080626
the lambda is 2.0
the regulation term lambda/alpha is 5.248526967114739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2650964328003853
the lambda is 2.0
the regulation term lambda/alpha is 7.544424415193764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2427935823237854
the lambda is 2.0
the regulation term lambda/alpha is 8.237450021775427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.41352636527756526
the lambda is 2.0
the regulation term lambda/alpha is 4.836450993052328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2412323704048799
the lambda is 2.0
the regulation term lambda/alpha is 8.290761296434791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3018463523204421
the lambda is 2.0
the regulation term lambda/alpha is 6.625887590242557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3017087352963233
the lambda is 2.0
the regulation term lambda/alpha is 6.628909826013819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3020832438129046
the lambda is 2.0
the regulation term lambda/alpha is 6.620691617171262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3323408893082986
the lambda is 2.0
the regulation term lambda/alpha is 6.017917338316696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26124638549560314
the lambda is 2.0
the regulation term lambda/alpha is 7.655608310927849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4885893310237394
the lambda is 2.0
the regulation term lambda/alpha is 4.093417258640109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35558057738588833
the lambda is 2.0
the regulation term lambda/alpha is 5.624604174680584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23204243556094295
the lambda is 2.0
the regulation term lambda/alpha is 8.619113116810592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.42443414767230203
the lambda is 2.0
the regulation term lambda/alpha is 4.71215619894977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31865744978298094
the lambda is 2.0
the regulation term lambda/alpha is 6.276332159697141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2812320450030043
the lambda is 2.0
the regulation term lambda/alpha is 7.111565113351982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3099152339326203
the lambda is 2.0
the regulation term lambda/alpha is 6.4533775078472795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3775877641794409
the lambda is 2.0
the regulation term lambda/alpha is 5.296781807393368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.36066137204371934
the lambda is 2.0
the regulation term lambda/alpha is 5.545367913028291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5347366271175598
the lambda is 2.0
the regulation term lambda/alpha is 3.7401589840231906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.41631571531419753
the lambda is 2.0
the regulation term lambda/alpha is 4.804046367768223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33422213941436124
the lambda is 2.0
the regulation term lambda/alpha is 5.984044035815486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26474095190367825
the lambda is 2.0
the regulation term lambda/alpha is 7.554554690608153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30498821210226873
the lambda is 2.0
the regulation term lambda/alpha is 6.557630494024994
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4908767049352443
the lambda is 2.0
the regulation term lambda/alpha is 4.0743428642918325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3259020222767942
the lambda is 2.0
the regulation term lambda/alpha is 6.136813714832876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3826584483205471
the lambda is 2.0
the regulation term lambda/alpha is 5.226593085237807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2581784986011647
the lambda is 2.0
the regulation term lambda/alpha is 7.746578475110001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2926840085727878
the lambda is 2.0
the regulation term lambda/alpha is 6.833308077720339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2337131314596405
the lambda is 2.0
the regulation term lambda/alpha is 8.557499475999174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.233434351512289
the lambda is 2.0
the regulation term lambda/alpha is 8.567719305419843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38238405389974855
the lambda is 2.0
the regulation term lambda/alpha is 5.230343628618859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40066558774225247
the lambda is 2.0
the regulation term lambda/alpha is 4.991693974194252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2370496796104722
the lambda is 2.0
the regulation term lambda/alpha is 8.437050002710256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31868213598961354
the lambda is 2.0
the regulation term lambda/alpha is 6.275845973572814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26252233258328456
the lambda is 2.0
the regulation term lambda/alpha is 7.618399472225873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2622238702503247
the lambda is 2.0
the regulation term lambda/alpha is 7.62707070905008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.41338670461117677
the lambda is 2.0
the regulation term lambda/alpha is 4.838084964249539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39271814243614456
the lambda is 2.0
the regulation term lambda/alpha is 5.092710990109649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3554909566387952
the lambda is 2.0
the regulation term lambda/alpha is 5.626022160761029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26207994425203546
the lambda is 2.0
the regulation term lambda/alpha is 7.631259254529802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4249485398225661
the lambda is 2.0
the regulation term lambda/alpha is 4.706452223215273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24645545866296587
the lambda is 2.0
the regulation term lambda/alpha is 8.115056614489724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2652041938625206
the lambda is 2.0
the regulation term lambda/alpha is 7.541358870956549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2507949344350146
the lambda is 2.0
the regulation term lambda/alpha is 7.974642727555708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33446469992523276
the lambda is 2.0
the regulation term lambda/alpha is 5.979704287020681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23522894732984104
the lambda is 2.0
the regulation term lambda/alpha is 8.502354929963508
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22761100134165332
the lambda is 2.0
the regulation term lambda/alpha is 8.786921494176458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31431399053183356
the lambda is 2.0
the regulation term lambda/alpha is 6.363063879580762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28952076689306794
the lambda is 2.0
the regulation term lambda/alpha is 6.907967333267956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2543276564223314
the lambda is 2.0
the regulation term lambda/alpha is 7.863871464607215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27933900340246326
the lambda is 2.0
the regulation term lambda/alpha is 7.159759201683912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26392477629033556
the lambda is 2.0
the regulation term lambda/alpha is 7.577916814448149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35909222528380946
the lambda is 2.0
the regulation term lambda/alpha is 5.569599838646729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3215505398206526
the lambda is 2.0
the regulation term lambda/alpha is 6.219862050660888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3406277636599601
the lambda is 2.0
the regulation term lambda/alpha is 5.871511994531803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3707180241050137
the lambda is 2.0
the regulation term lambda/alpha is 5.394935961984567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4216233597239431
the lambda is 2.0
the regulation term lambda/alpha is 4.74357018859082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.20851442289416985
the lambda is 2.0
the regulation term lambda/alpha is 9.591662640119083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.44425433689309785
the lambda is 2.0
the regulation term lambda/alpha is 4.501925662644156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21077978041223175
the lambda is 2.0
the regulation term lambda/alpha is 9.48857616270644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  8  iterations
the alpha is 0.19514219345908487
the lambda is 2.0
the regulation term lambda/alpha is 10.248936760154521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5956078046084365
the lambda is 2.0
the regulation term lambda/alpha is 3.357914359961815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3372917452902099
the lambda is 2.0
the regulation term lambda/alpha is 5.9295847820976935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31438225346628756
the lambda is 2.0
the regulation term lambda/alpha is 6.361682244937747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4001259564299269
the lambda is 2.0
the regulation term lambda/alpha is 4.998426040251791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.384764699342766
the lambda is 2.0
the regulation term lambda/alpha is 5.197982048291567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2457050526016384
the lambda is 2.0
the regulation term lambda/alpha is 8.139840751433793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.29797127533334494
the lambda is 2.0
the regulation term lambda/alpha is 6.712056381148049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35810975624284824
the lambda is 2.0
the regulation term lambda/alpha is 5.584879956869205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.23283855609409476
the lambda is 2.0
the regulation term lambda/alpha is 8.58964268440043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4099884639059913
the lambda is 2.0
the regulation term lambda/alpha is 4.878186037104185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29671895084824046
the lambda is 2.0
the regulation term lambda/alpha is 6.740385116227099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34063343536157753
the lambda is 2.0
the regulation term lambda/alpha is 5.871414231186755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.373763535495774
the lambda is 2.0
the regulation term lambda/alpha is 5.3509767809401865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22861100478352414
the lambda is 2.0
the regulation term lambda/alpha is 8.748485235406038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.49327198953590384
the lambda is 2.0
the regulation term lambda/alpha is 4.05455822026648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31944371537611055
the lambda is 2.0
the regulation term lambda/alpha is 6.260883854438068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33483036434037855
the lambda is 2.0
the regulation term lambda/alpha is 5.9731739202925445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3872690625451604
the lambda is 2.0
the regulation term lambda/alpha is 5.16436811878505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5587531969376024
the lambda is 2.0
the regulation term lambda/alpha is 3.5793978646771767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2686838381708267
the lambda is 2.0
the regulation term lambda/alpha is 7.443692979882246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5293404881428176
the lambda is 2.0
the regulation term lambda/alpha is 3.7782864617383924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2693416455768163
the lambda is 2.0
the regulation term lambda/alpha is 7.425513405908109
130
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.1884140619666162
the lambda is 2.0
the regulation term lambda/alpha is 10.614918966899436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22730382486773354
the lambda is 2.0
the regulation term lambda/alpha is 8.798796065854965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28982130511221627
the lambda is 2.0
the regulation term lambda/alpha is 6.900803925458888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2899978144693002
the lambda is 2.0
the regulation term lambda/alpha is 6.896603699100376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3416374838250685
the lambda is 2.0
the regulation term lambda/alpha is 5.854158558971465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3642794504907149
the lambda is 2.0
the regulation term lambda/alpha is 5.490290482501367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21016836722445997
the lambda is 2.0
the regulation term lambda/alpha is 9.516179939029543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31129464935416584
the lambda is 2.0
the regulation term lambda/alpha is 6.424781165205837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35757299066124787
the lambda is 2.0
the regulation term lambda/alpha is 5.593263619552099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3163322032309496
the lambda is 2.0
the regulation term lambda/alpha is 6.322467265654356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30759242137636156
the lambda is 2.0
the regulation term lambda/alpha is 6.5021107836491705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.43381001729566426
the lambda is 2.0
the regulation term lambda/alpha is 4.610313086977185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2850034135130391
the lambda is 2.0
the regulation term lambda/alpha is 7.017459809857677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27193723816446985
the lambda is 2.0
the regulation term lambda/alpha is 7.3546382007100615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24116733771728088
the lambda is 2.0
the regulation term lambda/alpha is 8.29299696605097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34989895270992183
the lambda is 2.0
the regulation term lambda/alpha is 5.715935942392112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27330811975074876
the lambda is 2.0
the regulation term lambda/alpha is 7.317748195055302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.20542294449670057
the lambda is 2.0
the regulation term lambda/alpha is 9.736010769878353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35399226392856564
the lambda is 2.0
the regulation term lambda/alpha is 5.649840981845843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33134957772584833
the lambda is 2.0
the regulation term lambda/alpha is 6.0359213786436685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4436398122028704
the lambda is 2.0
the regulation term lambda/alpha is 4.508161677530932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38670527426962803
the lambda is 2.0
the regulation term lambda/alpha is 5.171897393376413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2884490484246321
the lambda is 2.0
the regulation term lambda/alpha is 6.933633551308364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3037962604058683
the lambda is 2.0
the regulation term lambda/alpha is 6.583359509850526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.21601385486613492
the lambda is 2.0
the regulation term lambda/alpha is 9.258665381622915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35065182887794993
the lambda is 2.0
the regulation term lambda/alpha is 5.70366339282985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2569075590065673
the lambda is 2.0
the regulation term lambda/alpha is 7.784901338573982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24022150572094506
the lambda is 2.0
the regulation term lambda/alpha is 8.325649254414856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3782907844743694
the lambda is 2.0
the regulation term lambda/alpha is 5.286938202258816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30788798079913604
the lambda is 2.0
the regulation term lambda/alpha is 6.4958690326556985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2781248226938638
the lambda is 2.0
the regulation term lambda/alpha is 7.191015820265099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2658786814507334
the lambda is 2.0
the regulation term lambda/alpha is 7.522227766014383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2527833153569902
the lambda is 2.0
the regulation term lambda/alpha is 7.911914586512657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2857058463519681
the lambda is 2.0
the regulation term lambda/alpha is 7.00020677048432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3175358015308764
the lambda is 2.0
the regulation term lambda/alpha is 6.298502374717343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28868440727235944
the lambda is 2.0
the regulation term lambda/alpha is 6.927980693162617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36938283051272197
the lambda is 2.0
the regulation term lambda/alpha is 5.414436824862431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.334869497592386
the lambda is 2.0
the regulation term lambda/alpha is 5.972475888008363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3257805064461711
the lambda is 2.0
the regulation term lambda/alpha is 6.139102740729704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3080050657396238
the lambda is 2.0
the regulation term lambda/alpha is 6.4933996952203605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2757090301038439
the lambda is 2.0
the regulation term lambda/alpha is 7.254024285119402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2779185290545074
the lambda is 2.0
the regulation term lambda/alpha is 7.196353574567694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3354647207974801
the lambda is 2.0
the regulation term lambda/alpha is 5.96187877892352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2520696370287989
the lambda is 2.0
the regulation term lambda/alpha is 7.934315388296847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39626924955324194
the lambda is 2.0
the regulation term lambda/alpha is 5.047073428621627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2619665786846157
the lambda is 2.0
the regulation term lambda/alpha is 7.634561668295179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2822808750151441
the lambda is 2.0
the regulation term lambda/alpha is 7.0851417046680965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4305825164647581
the lambda is 2.0
the regulation term lambda/alpha is 4.64487043371092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4097297303409995
the lambda is 2.0
the regulation term lambda/alpha is 4.881266483482881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.324109507792935
the lambda is 2.0
the regulation term lambda/alpha is 6.170753871490086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26517492561701106
the lambda is 2.0
the regulation term lambda/alpha is 7.542191236016696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3247914155764765
the lambda is 2.0
the regulation term lambda/alpha is 6.157798217819809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30199007104721926
the lambda is 2.0
the regulation term lambda/alpha is 6.622734294092998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3884525959554939
the lambda is 2.0
the regulation term lambda/alpha is 5.148633374634843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19414330326893767
the lambda is 2.0
the regulation term lambda/alpha is 10.301668748416695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2786205144800851
the lambda is 2.0
the regulation term lambda/alpha is 7.1782223348918315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.20874988534047284
the lambda is 2.0
the regulation term lambda/alpha is 9.580843585796385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3565618367623315
the lambda is 2.0
the regulation term lambda/alpha is 5.609125245036003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2848305398998154
the lambda is 2.0
the regulation term lambda/alpha is 7.021718951568425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3626780623073141
the lambda is 2.0
the regulation term lambda/alpha is 5.514532605794354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2301478537827925
the lambda is 2.0
the regulation term lambda/alpha is 8.690065829975314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34225177732383905
the lambda is 2.0
the regulation term lambda/alpha is 5.843651172942186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3024975968087649
the lambda is 2.0
the regulation term lambda/alpha is 6.611622773533551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20391339307682413
the lambda is 2.0
the regulation term lambda/alpha is 9.808085529950954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42141992395539624
the lambda is 2.0
the regulation term lambda/alpha is 4.7458600941983065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3196951145882711
the lambda is 2.0
the regulation term lambda/alpha is 6.255960472138462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3503849670785816
the lambda is 2.0
the regulation term lambda/alpha is 5.708007443000418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.18083502701392756
the lambda is 2.0
the regulation term lambda/alpha is 11.059804248244252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2640174550065044
the lambda is 2.0
the regulation term lambda/alpha is 7.575256719108694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.37755305700758046
the lambda is 2.0
the regulation term lambda/alpha is 5.297268722578094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22935323209469688
the lambda is 2.0
the regulation term lambda/alpha is 8.720173601801378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.23018573887982902
the lambda is 2.0
the regulation term lambda/alpha is 8.68863557635133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3643294890279515
the lambda is 2.0
the regulation term lambda/alpha is 5.489536423022182
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4441836512280471
the lambda is 2.0
the regulation term lambda/alpha is 4.502642081649209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3704569635852661
the lambda is 2.0
the regulation term lambda/alpha is 5.3987377660392415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34517329754228065
the lambda is 2.0
the regulation term lambda/alpha is 5.794190959267404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.310977831484301
the lambda is 2.0
the regulation term lambda/alpha is 6.431326601172744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39021121011159837
the lambda is 2.0
the regulation term lambda/alpha is 5.12542937817704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.22163864102446956
the lambda is 2.0
the regulation term lambda/alpha is 9.02369727027515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3945318310424711
the lambda is 2.0
the regulation term lambda/alpha is 5.0692994649263206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.21581542660925035
the lambda is 2.0
the regulation term lambda/alpha is 9.267178122633219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2879344325548851
the lambda is 2.0
the regulation term lambda/alpha is 6.946025809604298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29284658122184515
the lambda is 2.0
the regulation term lambda/alpha is 6.829514593120366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3335795104168227
the lambda is 2.0
the regulation term lambda/alpha is 5.995572082652527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37537074119619873
the lambda is 2.0
the regulation term lambda/alpha is 5.328065777387375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30160095789409874
the lambda is 2.0
the regulation term lambda/alpha is 6.631278673532134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.19911878229397376
the lambda is 2.0
the regulation term lambda/alpha is 10.044255880629343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3808449279607552
the lambda is 2.0
the regulation term lambda/alpha is 5.251481254349522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33468695226104295
the lambda is 2.0
the regulation term lambda/alpha is 5.975733402478376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34360888142953805
the lambda is 2.0
the regulation term lambda/alpha is 5.820571318410839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36079316677830625
the lambda is 2.0
the regulation term lambda/alpha is 5.543342236381445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.255353300059435
the lambda is 2.0
the regulation term lambda/alpha is 7.832285698028919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29318276820518446
the lambda is 2.0
the regulation term lambda/alpha is 6.821683321443696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2706780324011116
the lambda is 2.0
the regulation term lambda/alpha is 7.388852291626849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27506995754894553
the lambda is 2.0
the regulation term lambda/alpha is 7.270877626263941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3774772506107784
the lambda is 2.0
the regulation term lambda/alpha is 5.298332539944838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.298026312141385
the lambda is 2.0
the regulation term lambda/alpha is 6.710816859187894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.37942106044731855
the lambda is 2.0
the regulation term lambda/alpha is 5.271188683206197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2661442900129809
the lambda is 2.0
the regulation term lambda/alpha is 7.514720679908076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3019733321297058
the lambda is 2.0
the regulation term lambda/alpha is 6.623101404003932
140
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2454162410022784
the lambda is 2.0
the regulation term lambda/alpha is 8.149419907305289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3180570551905995
the lambda is 2.0
the regulation term lambda/alpha is 6.288179958157118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.35702814049465115
the lambda is 2.0
the regulation term lambda/alpha is 5.601799335002175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34710458374603326
the lambda is 2.0
the regulation term lambda/alpha is 5.761952142537375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3061511984391671
the lambda is 2.0
the regulation term lambda/alpha is 6.532719813596954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22943897588681092
the lambda is 2.0
the regulation term lambda/alpha is 8.71691477993111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2357613434217643
the lambda is 2.0
the regulation term lambda/alpha is 8.483154918328184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26399252020956937
the lambda is 2.0
the regulation term lambda/alpha is 7.57597222228989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3691018085405306
the lambda is 2.0
the regulation term lambda/alpha is 5.418559198905639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36878787405426905
the lambda is 2.0
the regulation term lambda/alpha is 5.423171803381175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3741420607800776
the lambda is 2.0
the regulation term lambda/alpha is 5.3455631153312355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3352192990612564
the lambda is 2.0
the regulation term lambda/alpha is 5.966243607097721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32183364482021853
the lambda is 2.0
the regulation term lambda/alpha is 6.2143906710475605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39976965187516644
the lambda is 2.0
the regulation term lambda/alpha is 5.002881010648921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3751067247205796
the lambda is 2.0
the regulation term lambda/alpha is 5.33181590250033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2814410466295824
the lambda is 2.0
the regulation term lambda/alpha is 7.106283976524194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2804238848792506
the lambda is 2.0
the regulation term lambda/alpha is 7.132060098451286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3303971805853152
the lambda is 2.0
the regulation term lambda/alpha is 6.053320420158851
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5931370855225575
the lambda is 2.0
the regulation term lambda/alpha is 3.3719017893443426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31399759598383975
the lambda is 2.0
the regulation term lambda/alpha is 6.369475516949284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.354843571939602
the lambda is 2.0
the regulation term lambda/alpha is 5.636286403802802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2939873220019605
the lambda is 2.0
the regulation term lambda/alpha is 6.803014451033581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2520273921254915
the lambda is 2.0
the regulation term lambda/alpha is 7.935645340503876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3824125154928893
the lambda is 2.0
the regulation term lambda/alpha is 5.229954352885683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35498839745200167
the lambda is 2.0
the regulation term lambda/alpha is 5.633986953814236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2096601947522863
the lambda is 2.0
the regulation term lambda/alpha is 9.539245169370378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3795826766499797
the lambda is 2.0
the regulation term lambda/alpha is 5.268944351336238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3781133901793023
the lambda is 2.0
the regulation term lambda/alpha is 5.289418602847138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.46656344347546486
the lambda is 2.0
the regulation term lambda/alpha is 4.286662463526622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.294423567593096
the lambda is 2.0
the regulation term lambda/alpha is 6.7929344663198705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24211971269580465
the lambda is 2.0
the regulation term lambda/alpha is 8.260376562204037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2614738740883528
the lambda is 2.0
the regulation term lambda/alpha is 7.648947746588991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3542070777835136
the lambda is 2.0
the regulation term lambda/alpha is 5.646414556465673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3881963490376326
the lambda is 2.0
the regulation term lambda/alpha is 5.152031967735264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4600894233880325
the lambda is 2.0
the regulation term lambda/alpha is 4.346981039625486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3159012105858869
the lambda is 2.0
the regulation term lambda/alpha is 6.331093180335382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2962795655629363
the lambda is 2.0
the regulation term lambda/alpha is 6.750381168542507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.269778466596766
the lambda is 2.0
the regulation term lambda/alpha is 7.413490132217896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2986999383521058
the lambda is 2.0
the regulation term lambda/alpha is 6.695682667474847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34155455983012634
the lambda is 2.0
the regulation term lambda/alpha is 5.855579855220521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2924724180561471
the lambda is 2.0
the regulation term lambda/alpha is 6.83825166589231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3763126437408906
the lambda is 2.0
the regulation term lambda/alpha is 5.3147297420521875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2080799201933345
the lambda is 2.0
the regulation term lambda/alpha is 9.611691498832412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26319091260583516
the lambda is 2.0
the regulation term lambda/alpha is 7.599046563569149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3863946533545901
the lambda is 2.0
the regulation term lambda/alpha is 5.17605505831009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.2748273307137977
the lambda is 2.0
the regulation term lambda/alpha is 7.277296602217408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2454109002678527
the lambda is 2.0
the regulation term lambda/alpha is 8.149597258382201
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29397648515768626
the lambda is 2.0
the regulation term lambda/alpha is 6.803265230303092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.31050247232156053
the lambda is 2.0
the regulation term lambda/alpha is 6.441172545411404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.45855931183390053
the lambda is 2.0
the regulation term lambda/alpha is 4.361485959147724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.313904073619869
the lambda is 2.0
the regulation term lambda/alpha is 6.371373193525218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2713689039556578
the lambda is 2.0
the regulation term lambda/alpha is 7.370041190595676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26126773653702784
the lambda is 2.0
the regulation term lambda/alpha is 7.6549826875258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.30406732464182673
the lambda is 2.0
the regulation term lambda/alpha is 6.577490699981925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29466939562531275
the lambda is 2.0
the regulation term lambda/alpha is 6.787267458691579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25584069957188826
the lambda is 2.0
the regulation term lambda/alpha is 7.817364490273461
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31385647498480934
the lambda is 2.0
the regulation term lambda/alpha is 6.372339458973405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.317434015219877
the lambda is 2.0
the regulation term lambda/alpha is 6.3005220112112434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36939300000812497
the lambda is 2.0
the regulation term lambda/alpha is 5.414287763861278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2598854827274986
the lambda is 2.0
the regulation term lambda/alpha is 7.695697270236091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3257947051520918
the lambda is 2.0
the regulation term lambda/alpha is 6.1388351878411695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34113977440774856
the lambda is 2.0
the regulation term lambda/alpha is 5.862699544408717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3094740063311215
the lambda is 2.0
the regulation term lambda/alpha is 6.462578307336421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3248231582642126
the lambda is 2.0
the regulation term lambda/alpha is 6.157196459413744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.46221370945918105
the lambda is 2.0
the regulation term lambda/alpha is 4.3270027674863325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39933749113381434
the lambda is 2.0
the regulation term lambda/alpha is 5.00829509977018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4648441171211967
the lambda is 2.0
the regulation term lambda/alpha is 4.302517610389698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2834776704973606
the lambda is 2.0
the regulation term lambda/alpha is 7.0552294171565855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32010674695037533
the lambda is 2.0
the regulation term lambda/alpha is 6.247915793883753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4151283362689551
the lambda is 2.0
the regulation term lambda/alpha is 4.817787236533599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31410477531990527
the lambda is 2.0
the regulation term lambda/alpha is 6.367302114280391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.247498329140657
the lambda is 2.0
the regulation term lambda/alpha is 8.08086263428215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3428473336474152
the lambda is 2.0
the regulation term lambda/alpha is 5.8335002309126995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33668474051890046
the lambda is 2.0
the regulation term lambda/alpha is 5.940275157459137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23205818787872104
the lambda is 2.0
the regulation term lambda/alpha is 8.618528043687242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3978357950359555
the lambda is 2.0
the regulation term lambda/alpha is 5.027199726508381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27611018872154974
the lambda is 2.0
the regulation term lambda/alpha is 7.243484962508755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2742026299286895
the lambda is 2.0
the regulation term lambda/alpha is 7.293876067199392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24918385334205323
the lambda is 2.0
the regulation term lambda/alpha is 8.02620223251228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2680898757593571
the lambda is 2.0
the regulation term lambda/alpha is 7.4601847396700665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26325900545363917
the lambda is 2.0
the regulation term lambda/alpha is 7.597081044022279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2528376149719806
the lambda is 2.0
the regulation term lambda/alpha is 7.910215417202221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3839699395205934
the lambda is 2.0
the regulation term lambda/alpha is 5.208741086599396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2527648115056166
the lambda is 2.0
the regulation term lambda/alpha is 7.912493784585038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3449643281279751
the lambda is 2.0
the regulation term lambda/alpha is 5.797700912594181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3281407283927002
the lambda is 2.0
the regulation term lambda/alpha is 6.094945939190192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2774630092738252
the lambda is 2.0
the regulation term lambda/alpha is 7.2081680553901215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37478811512238397
the lambda is 2.0
the regulation term lambda/alpha is 5.336348510803008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3053504820770592
the lambda is 2.0
the regulation term lambda/alpha is 6.549850474757966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2178840636516532
the lambda is 2.0
the regulation term lambda/alpha is 9.179193588006248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2996297995101808
the lambda is 2.0
the regulation term lambda/alpha is 6.674903508494468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.38083600604133994
the lambda is 2.0
the regulation term lambda/alpha is 5.25160428182544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32521068655895585
the lambda is 2.0
the regulation term lambda/alpha is 6.1498594070260655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24586569469858366
the lambda is 2.0
the regulation term lambda/alpha is 8.13452239626955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26235623388889046
the lambda is 2.0
the regulation term lambda/alpha is 7.623222708887538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2773106758377914
the lambda is 2.0
the regulation term lambda/alpha is 7.212127675783637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3843401540529334
the lambda is 2.0
the regulation term lambda/alpha is 5.2037237819406945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24850700748752416
the lambda is 2.0
the regulation term lambda/alpha is 8.048062789941271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30003624735320755
the lambda is 2.0
the regulation term lambda/alpha is 6.665861267240713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3519265595810875
the lambda is 2.0
the regulation term lambda/alpha is 5.683003869843417
150
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.32280259044750553
the lambda is 2.0
the regulation term lambda/alpha is 6.195737144573014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.341293014374416
the lambda is 2.0
the regulation term lambda/alpha is 5.8600672025648235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3364860541294107
the lambda is 2.0
the regulation term lambda/alpha is 5.943782737666777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3387943607971534
the lambda is 2.0
the regulation term lambda/alpha is 5.903285979418829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26941393042109824
the lambda is 2.0
the regulation term lambda/alpha is 7.423521110708598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.24252869499050006
the lambda is 2.0
the regulation term lambda/alpha is 8.24644687952632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.31218842554629694
the lambda is 2.0
the regulation term lambda/alpha is 6.406387413307236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4960135601881948
the lambda is 2.0
the regulation term lambda/alpha is 4.03214782926735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29842562311391785
the lambda is 2.0
the regulation term lambda/alpha is 6.701837392952485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28985946750264135
the lambda is 2.0
the regulation term lambda/alpha is 6.899895377685999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3158165670370686
the lambda is 2.0
the regulation term lambda/alpha is 6.332790007704859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37454686412401383
the lambda is 2.0
the regulation term lambda/alpha is 5.339785729290721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3011724479743506
the lambda is 2.0
the regulation term lambda/alpha is 6.640713695597847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2688350113818051
the lambda is 2.0
the regulation term lambda/alpha is 7.439507189632969
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.286680863124201
the lambda is 2.0
the regulation term lambda/alpha is 6.9763986971586744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43609393921714845
the lambda is 2.0
the regulation term lambda/alpha is 4.586167841704676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3344232046592148
the lambda is 2.0
the regulation term lambda/alpha is 5.980446249350572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2686360153520008
the lambda is 2.0
the regulation term lambda/alpha is 7.445018112628523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25671149495003975
the lambda is 2.0
the regulation term lambda/alpha is 7.790847076751404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31606606561547496
the lambda is 2.0
the regulation term lambda/alpha is 6.32779098289278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3260050133330547
the lambda is 2.0
the regulation term lambda/alpha is 6.134874981068929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2558621417533793
the lambda is 2.0
the regulation term lambda/alpha is 7.816709366592273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25469588152053435
the lambda is 2.0
the regulation term lambda/alpha is 7.85250231790165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2530144672923735
the lambda is 2.0
the regulation term lambda/alpha is 7.904686326449781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28793270554847633
the lambda is 2.0
the regulation term lambda/alpha is 6.946067471530358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2503102995650542
the lambda is 2.0
the regulation term lambda/alpha is 7.990082723224946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2679177504211586
the lambda is 2.0
the regulation term lambda/alpha is 7.464977579335675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3380673495754591
the lambda is 2.0
the regulation term lambda/alpha is 5.915980950279806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3039348757195029
the lambda is 2.0
the regulation term lambda/alpha is 6.580357042821802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3800822688362071
the lambda is 2.0
the regulation term lambda/alpha is 5.262018683807324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33017196926798176
the lambda is 2.0
the regulation term lambda/alpha is 6.057449408664714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3554612418843799
the lambda is 2.0
the regulation term lambda/alpha is 5.626492467638808
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3011559453435871
the lambda is 2.0
the regulation term lambda/alpha is 6.64107759094117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33189004817465984
the lambda is 2.0
the regulation term lambda/alpha is 6.026092107912449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29195484598771965
the lambda is 2.0
the regulation term lambda/alpha is 6.850374390031961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41878832511244934
the lambda is 2.0
the regulation term lambda/alpha is 4.7756823198521055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42922633055063525
the lambda is 2.0
the regulation term lambda/alpha is 4.659546392306105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2523588902063304
the lambda is 2.0
the regulation term lambda/alpha is 7.925221094310511
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.20826723336421313
the lambda is 2.0
the regulation term lambda/alpha is 9.603046853282217
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2265899223678154
the lambda is 2.0
the regulation term lambda/alpha is 8.82651787467172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2930178061831528
the lambda is 2.0
the regulation term lambda/alpha is 6.825523766121865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3405123673703082
the lambda is 2.0
the regulation term lambda/alpha is 5.873501792153688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3900402676118156
the lambda is 2.0
the regulation term lambda/alpha is 5.127675694219561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.44766522746759063
the lambda is 2.0
the regulation term lambda/alpha is 4.467624191661821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38426603513211816
the lambda is 2.0
the regulation term lambda/alpha is 5.204727499042066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.4199146236575856
the lambda is 2.0
the regulation term lambda/alpha is 4.762872944455672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38686029709184966
the lambda is 2.0
the regulation term lambda/alpha is 5.169824908460827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2748503210799115
the lambda is 2.0
the regulation term lambda/alpha is 7.276687879213025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2340948625718897
the lambda is 2.0
the regulation term lambda/alpha is 8.54354503139003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2700808045880021
the lambda is 2.0
the regulation term lambda/alpha is 7.405191209537913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42526188762223394
the lambda is 2.0
the regulation term lambda/alpha is 4.70298434497057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25321097725258956
the lambda is 2.0
the regulation term lambda/alpha is 7.8985517203897055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2432079109638124
the lambda is 2.0
the regulation term lambda/alpha is 8.223416714012998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3357619235360312
the lambda is 2.0
the regulation term lambda/alpha is 5.9566015673762855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2869971544887735
the lambda is 2.0
the regulation term lambda/alpha is 6.968710207467351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24764076263323972
the lambda is 2.0
the regulation term lambda/alpha is 8.07621483124745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5720957987344781
the lambda is 2.0
the regulation term lambda/alpha is 3.495917999090643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33761130180373605
the lambda is 2.0
the regulation term lambda/alpha is 5.92397229984517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2967917855693906
the lambda is 2.0
the regulation term lambda/alpha is 6.738730979912499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24493974275477703
the lambda is 2.0
the regulation term lambda/alpha is 8.16527353832617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3251551776166395
the lambda is 2.0
the regulation term lambda/alpha is 6.150909281715378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35946285551785256
the lambda is 2.0
the regulation term lambda/alpha is 5.563857208886693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2926361653780848
the lambda is 2.0
the regulation term lambda/alpha is 6.834425257780452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2618727117016904
the lambda is 2.0
the regulation term lambda/alpha is 7.63729823929986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32115423112205066
the lambda is 2.0
the regulation term lambda/alpha is 6.227537445209386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27054597081775494
the lambda is 2.0
the regulation term lambda/alpha is 7.392459011512092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25236171752371617
the lambda is 2.0
the regulation term lambda/alpha is 7.925132304633512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.287009012295247
the lambda is 2.0
the regulation term lambda/alpha is 6.9684222944978265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.39973920870017066
the lambda is 2.0
the regulation term lambda/alpha is 5.003262018012661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33540156668542503
the lambda is 2.0
the regulation term lambda/alpha is 5.9630013650944305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2698300097216819
the lambda is 2.0
the regulation term lambda/alpha is 7.412074001935197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21162180692775337
the lambda is 2.0
the regulation term lambda/alpha is 9.450821864888386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30576816733802464
the lambda is 2.0
the regulation term lambda/alpha is 6.540903251675029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25072969370634113
the lambda is 2.0
the regulation term lambda/alpha is 7.976717757021767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21093032186779626
the lambda is 2.0
the regulation term lambda/alpha is 9.481804144088539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.380017016588661
the lambda is 2.0
the regulation term lambda/alpha is 5.262922218466983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28553161581708847
the lambda is 2.0
the regulation term lambda/alpha is 7.004478275642862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2906893154123056
the lambda is 2.0
the regulation term lambda/alpha is 6.880197839962766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35976392494735093
the lambda is 2.0
the regulation term lambda/alpha is 5.559201079687706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2794970704707868
the lambda is 2.0
the regulation term lambda/alpha is 7.155710063905808
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2831582497982867
the lambda is 2.0
the regulation term lambda/alpha is 7.063188169247193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3047598121399349
the lambda is 2.0
the regulation term lambda/alpha is 6.562545061163349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31381509046080014
the lambda is 2.0
the regulation term lambda/alpha is 6.373179814467296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2913658125893724
the lambda is 2.0
the regulation term lambda/alpha is 6.864223301374893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.27459634080103723
the lambda is 2.0
the regulation term lambda/alpha is 7.283418250096527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31061547384669447
the lambda is 2.0
the regulation term lambda/alpha is 6.438829254807532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2791870237985676
the lambda is 2.0
the regulation term lambda/alpha is 7.163656722967873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33894121927657245
the lambda is 2.0
the regulation term lambda/alpha is 5.900728168349513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2822832130065362
the lambda is 2.0
the regulation term lambda/alpha is 7.085083022466839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.24182203902850888
the lambda is 2.0
the regulation term lambda/alpha is 8.27054476934675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2961364078716636
the lambda is 2.0
the regulation term lambda/alpha is 6.75364442479068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4053570641869086
the lambda is 2.0
the regulation term lambda/alpha is 4.933921662403317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  7  iterations
the alpha is 0.20476705071398482
the lambda is 2.0
the regulation term lambda/alpha is 9.76719639720536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4301091748958662
the lambda is 2.0
the regulation term lambda/alpha is 4.649982182975335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.41772769450761976
the lambda is 2.0
the regulation term lambda/alpha is 4.787808005780948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2971575567886873
the lambda is 2.0
the regulation term lambda/alpha is 6.7304362763428776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32216026922513846
the lambda is 2.0
the regulation term lambda/alpha is 6.2080901683202905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25741535060190623
the lambda is 2.0
the regulation term lambda/alpha is 7.769544416537175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2590272006780018
the lambda is 2.0
the regulation term lambda/alpha is 7.721196827070727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3953706973685637
the lambda is 2.0
the regulation term lambda/alpha is 5.0585438256078055
160
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28826077014016604
the lambda is 2.0
the regulation term lambda/alpha is 6.9381622724018435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3800610509558393
the lambda is 2.0
the regulation term lambda/alpha is 5.2623124494606195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22145749822106828
the lambda is 2.0
the regulation term lambda/alpha is 9.031078270393515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2904292620225698
the lambda is 2.0
the regulation term lambda/alpha is 6.886358440853582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2849690936519702
the lambda is 2.0
the regulation term lambda/alpha is 7.0183049479835145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27102032867621595
the lambda is 2.0
the regulation term lambda/alpha is 7.37952023661432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42891955869085874
the lambda is 2.0
the regulation term lambda/alpha is 4.662878993218139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4020324793765187
the lambda is 2.0
the regulation term lambda/alpha is 4.974722448051079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36767154448548894
the lambda is 2.0
the regulation term lambda/alpha is 5.439637714685682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3213089023405821
the lambda is 2.0
the regulation term lambda/alpha is 6.224539642166631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2734416578835381
the lambda is 2.0
the regulation term lambda/alpha is 7.314174495137909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38635512594153604
the lambda is 2.0
the regulation term lambda/alpha is 5.176584612734357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2917276967944313
the lambda is 2.0
the regulation term lambda/alpha is 6.855708326553989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34458946795663736
the lambda is 2.0
the regulation term lambda/alpha is 5.80400791660782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.314327429616302
the lambda is 2.0
the regulation term lambda/alpha is 6.362791826476584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30544828658715656
the lambda is 2.0
the regulation term lambda/alpha is 6.547753213306438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29860358479261073
the lambda is 2.0
the regulation term lambda/alpha is 6.697843233828089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3045528054827884
the lambda is 2.0
the regulation term lambda/alpha is 6.567005668621328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3079491843695603
the lambda is 2.0
the regulation term lambda/alpha is 6.49457800673978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22144274454522178
the lambda is 2.0
the regulation term lambda/alpha is 9.031679968144413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4204646970858654
the lambda is 2.0
the regulation term lambda/alpha is 4.756641910394605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3904530845055968
the lambda is 2.0
the regulation term lambda/alpha is 5.122254322904015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33683519813248924
the lambda is 2.0
the regulation term lambda/alpha is 5.93762175416516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21872855269139618
the lambda is 2.0
the regulation term lambda/alpha is 9.143753640713735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.324058241014304
the lambda is 2.0
the regulation term lambda/alpha is 6.171730099317917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3299047051942161
the lambda is 2.0
the regulation term lambda/alpha is 6.06235670031621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3247196690097515
the lambda is 2.0
the regulation term lambda/alpha is 6.159158778706253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.41565490002933336
the lambda is 2.0
the regulation term lambda/alpha is 4.811683923030516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42284781896965473
the lambda is 2.0
the regulation term lambda/alpha is 4.729834021311407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2975602954998784
the lambda is 2.0
the regulation term lambda/alpha is 6.72132683777637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3282007063432743
the lambda is 2.0
the regulation term lambda/alpha is 6.093832101348813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2726283449338364
the lambda is 2.0
the regulation term lambda/alpha is 7.33599435702614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30474616331790844
the lambda is 2.0
the regulation term lambda/alpha is 6.56283898121998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2766965580278476
the lambda is 2.0
the regulation term lambda/alpha is 7.22813472728025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.47590477608881643
the lambda is 2.0
the regulation term lambda/alpha is 4.202521387654128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39044582468976524
the lambda is 2.0
the regulation term lambda/alpha is 5.1223495643451455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36387095839561306
the lambda is 2.0
the regulation term lambda/alpha is 5.496454041890122
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35551202415943184
the lambda is 2.0
the regulation term lambda/alpha is 5.625688764617103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35289422048666735
the lambda is 2.0
the regulation term lambda/alpha is 5.667420671389436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3409180715290329
the lambda is 2.0
the regulation term lambda/alpha is 5.866512124247066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3158583388421056
the lambda is 2.0
the regulation term lambda/alpha is 6.331952505454604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3325799917827414
the lambda is 2.0
the regulation term lambda/alpha is 6.0135908635974245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3983544402843608
the lambda is 2.0
the regulation term lambda/alpha is 5.020654466841948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3129691224658621
the lambda is 2.0
the regulation term lambda/alpha is 6.390406773173462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2629817844387129
the lambda is 2.0
the regulation term lambda/alpha is 7.605089471381596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3140783109856339
the lambda is 2.0
the regulation term lambda/alpha is 6.367838625098443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36553941734307427
the lambda is 2.0
the regulation term lambda/alpha is 5.471366164932399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3300459516965563
the lambda is 2.0
the regulation term lambda/alpha is 6.059762253465834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3028494921721531
the lambda is 2.0
the regulation term lambda/alpha is 6.603940411638898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29070690302727686
the lambda is 2.0
the regulation term lambda/alpha is 6.879781591606516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28077001620598563
the lambda is 2.0
the regulation term lambda/alpha is 7.123267744276188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2925233490714366
the lambda is 2.0
the regulation term lambda/alpha is 6.837061063154939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29415612715664574
the lambda is 2.0
the regulation term lambda/alpha is 6.799110456519399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23978231647004858
the lambda is 2.0
the regulation term lambda/alpha is 8.340898651088901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3810424538479591
the lambda is 2.0
the regulation term lambda/alpha is 5.248758976337125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2686031396843475
the lambda is 2.0
the regulation term lambda/alpha is 7.445929345242673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3193032318202744
the lambda is 2.0
the regulation term lambda/alpha is 6.263638449878691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3229604228557808
the lambda is 2.0
the regulation term lambda/alpha is 6.192709256183714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2574083540241515
the lambda is 2.0
the regulation term lambda/alpha is 7.769755599355367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34064253023295815
the lambda is 2.0
the regulation term lambda/alpha is 5.8712574693249335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34322870545171513
the lambda is 2.0
the regulation term lambda/alpha is 5.827018452223708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.34511010759734956
the lambda is 2.0
the regulation term lambda/alpha is 5.795251880404097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2713262705659337
the lambda is 2.0
the regulation term lambda/alpha is 7.371199242256895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2396524290133464
the lambda is 2.0
the regulation term lambda/alpha is 8.345419273378692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2312316976729536
the lambda is 2.0
the regulation term lambda/alpha is 8.649333201837809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2355847971315838
the lambda is 2.0
the regulation term lambda/alpha is 8.489512160171005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3443182988111971
the lambda is 2.0
the regulation term lambda/alpha is 5.808578884437033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37018304671715296
the lambda is 2.0
the regulation term lambda/alpha is 5.402732560921805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2816180065320665
the lambda is 2.0
the regulation term lambda/alpha is 7.101818611063386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.33407626138266266
the lambda is 2.0
the regulation term lambda/alpha is 5.98665703370384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31421828217326914
the lambda is 2.0
the regulation term lambda/alpha is 6.365002017601069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.28234337247212593
the lambda is 2.0
the regulation term lambda/alpha is 7.083573389693955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2937119071027894
the lambda is 2.0
the regulation term lambda/alpha is 6.8093936664953345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40945003136649993
the lambda is 2.0
the regulation term lambda/alpha is 4.8846009202275384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3176618164681066
the lambda is 2.0
the regulation term lambda/alpha is 6.296003788673169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31227401748748135
the lambda is 2.0
the regulation term lambda/alpha is 6.404631471077088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30203031963896687
the lambda is 2.0
the regulation term lambda/alpha is 6.621851747833489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.292623865879611
the lambda is 2.0
the regulation term lambda/alpha is 6.834712520758045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2573283037369492
the lambda is 2.0
the regulation term lambda/alpha is 7.772172632997559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4220183000390956
the lambda is 2.0
the regulation term lambda/alpha is 4.739130980373886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3323137020056183
the lambda is 2.0
the regulation term lambda/alpha is 6.018409677149535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2830813425953072
the lambda is 2.0
the regulation term lambda/alpha is 7.065107087821036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2952692182711008
the lambda is 2.0
the regulation term lambda/alpha is 6.773479510362317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4319558561252428
the lambda is 2.0
the regulation term lambda/alpha is 4.630102756194867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.22253568831619827
the lambda is 2.0
the regulation term lambda/alpha is 8.987322506034287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29198176269621046
the lambda is 2.0
the regulation term lambda/alpha is 6.849742879595121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3327693075582782
the lambda is 2.0
the regulation term lambda/alpha is 6.010169671822086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.345308156312913
the lambda is 2.0
the regulation term lambda/alpha is 5.7919280603022605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.371059917155765
the lambda is 2.0
the regulation term lambda/alpha is 5.389965090625599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3681631716964113
the lambda is 2.0
the regulation term lambda/alpha is 5.4323738867862845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26402972006994474
the lambda is 2.0
the regulation term lambda/alpha is 7.5749048231016385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3423214587126171
the lambda is 2.0
the regulation term lambda/alpha is 5.8424616660652395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3361136987581211
the lambda is 2.0
the regulation term lambda/alpha is 5.950367412544136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3002342196663846
the lambda is 2.0
the regulation term lambda/alpha is 6.661465845640007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33478964713189024
the lambda is 2.0
the regulation term lambda/alpha is 5.973900379339092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3218134405764426
the lambda is 2.0
the regulation term lambda/alpha is 6.214780825864623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2572957951614528
the lambda is 2.0
the regulation term lambda/alpha is 7.773154624408077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4307058473205023
the lambda is 2.0
the regulation term lambda/alpha is 4.643540394081844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3392989152887805
the lambda is 2.0
the regulation term lambda/alpha is 5.894507497313339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2741408566003167
the lambda is 2.0
the regulation term lambda/alpha is 7.295519627400514
170
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3232808465384813
the lambda is 2.0
the regulation term lambda/alpha is 6.1865712782397475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27817449609238737
the lambda is 2.0
the regulation term lambda/alpha is 7.189731726289385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3271096034025781
the lambda is 2.0
the regulation term lambda/alpha is 6.114158615938199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35202421643301757
the lambda is 2.0
the regulation term lambda/alpha is 5.681427318454257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.49304901113584504
the lambda is 2.0
the regulation term lambda/alpha is 4.056391869426059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3349379262970453
the lambda is 2.0
the regulation term lambda/alpha is 5.971255695380005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.335490961098637
the lambda is 2.0
the regulation term lambda/alpha is 5.9614124727848745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.46301674920178293
the lambda is 2.0
the regulation term lambda/alpha is 4.319498168150282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3962931906907634
the lambda is 2.0
the regulation term lambda/alpha is 5.046768521341174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33048115423635716
the lambda is 2.0
the regulation term lambda/alpha is 6.051782300934527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27209886259078314
the lambda is 2.0
the regulation term lambda/alpha is 7.350269607733915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.5197015178634146
the lambda is 2.0
the regulation term lambda/alpha is 3.848362822226027
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24916774241625522
the lambda is 2.0
the regulation term lambda/alpha is 8.026721198359759
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4252567666770099
the lambda is 2.0
the regulation term lambda/alpha is 4.70304097834388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25506281728673086
the lambda is 2.0
the regulation term lambda/alpha is 7.841205634264145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3306831507457978
the lambda is 2.0
the regulation term lambda/alpha is 6.04808559338252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25368867398071543
the lambda is 2.0
the regulation term lambda/alpha is 7.883678717765829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4496393281307858
the lambda is 2.0
the regulation term lambda/alpha is 4.448009493107025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3105813735433533
the lambda is 2.0
the regulation term lambda/alpha is 6.439536206509901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.331886128721869
the lambda is 2.0
the regulation term lambda/alpha is 6.026163273838006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28144841847854546
the lambda is 2.0
the regulation term lambda/alpha is 7.106097844896784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.21384854075351434
the lambda is 2.0
the regulation term lambda/alpha is 9.352413595869406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29520353707249863
the lambda is 2.0
the regulation term lambda/alpha is 6.774986573107431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29579052782215665
the lambda is 2.0
the regulation term lambda/alpha is 6.761541739438307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25711879125832027
the lambda is 2.0
the regulation term lambda/alpha is 7.778505764639561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.444759798863728
the lambda is 2.0
the regulation term lambda/alpha is 4.496809300457457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27799388489358573
the lambda is 2.0
the regulation term lambda/alpha is 7.194402858054188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25381940641559986
the lambda is 2.0
the regulation term lambda/alpha is 7.879618143638835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3762411603674723
the lambda is 2.0
the regulation term lambda/alpha is 5.315739506136471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2495842145121243
the lambda is 2.0
the regulation term lambda/alpha is 8.013327300805091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3433274954409221
the lambda is 2.0
the regulation term lambda/alpha is 5.825341770053919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27580919865269893
the lambda is 2.0
the regulation term lambda/alpha is 7.251389764263865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2415288420289575
the lambda is 2.0
the regulation term lambda/alpha is 8.28058455958736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3047746585867055
the lambda is 2.0
the regulation term lambda/alpha is 6.562225380792344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2839718055545837
the lambda is 2.0
the regulation term lambda/alpha is 7.042952718823946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3795380857643122
the lambda is 2.0
the regulation term lambda/alpha is 5.269563385114325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3066285405181956
the lambda is 2.0
the regulation term lambda/alpha is 6.522550042536952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29783907777865537
the lambda is 2.0
the regulation term lambda/alpha is 6.715035565233442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37355291702835375
the lambda is 2.0
the regulation term lambda/alpha is 5.35399379533742
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28469373469309545
the lambda is 2.0
the regulation term lambda/alpha is 7.025093130890404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25427189040239895
the lambda is 2.0
the regulation term lambda/alpha is 7.865596141338677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2804267131161795
the lambda is 2.0
the regulation term lambda/alpha is 7.1319881682292126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.518836503840788
the lambda is 2.0
the regulation term lambda/alpha is 3.8547788854381126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27002325958589596
the lambda is 2.0
the regulation term lambda/alpha is 7.406769339304966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26867253486690407
the lambda is 2.0
the regulation term lambda/alpha is 7.444006142982821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2958326737348652
the lambda is 2.0
the regulation term lambda/alpha is 6.76057845386093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3288980191009165
the lambda is 2.0
the regulation term lambda/alpha is 6.0809122702144816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2899387317674124
the lambda is 2.0
the regulation term lambda/alpha is 6.898009064909587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38739943704219687
the lambda is 2.0
the regulation term lambda/alpha is 5.162630114462849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3060121188102634
the lambda is 2.0
the regulation term lambda/alpha is 6.535688873289555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32305130773365937
the lambda is 2.0
the regulation term lambda/alpha is 6.1909670449280645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3175663126845617
the lambda is 2.0
the regulation term lambda/alpha is 6.297897226859192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35237061530100594
the lambda is 2.0
the regulation term lambda/alpha is 5.675842176259612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4361323765390456
the lambda is 2.0
the regulation term lambda/alpha is 4.585763652474322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3054720798188129
the lambda is 2.0
the regulation term lambda/alpha is 6.547243208565169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25589512206514053
the lambda is 2.0
the regulation term lambda/alpha is 7.815701932336487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23894146632703706
the lambda is 2.0
the regulation term lambda/alpha is 8.370250801351565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2832604822657049
the lambda is 2.0
the regulation term lambda/alpha is 7.06063897089589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32935377307041847
the lambda is 2.0
the regulation term lambda/alpha is 6.072497610562925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30962146991085315
the lambda is 2.0
the regulation term lambda/alpha is 6.45950037177927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2835450368388715
the lambda is 2.0
the regulation term lambda/alpha is 7.053553193161792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2777570293228319
the lambda is 2.0
the regulation term lambda/alpha is 7.200537840125863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3022718809939447
the lambda is 2.0
the regulation term lambda/alpha is 6.616559877893721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2577669050266294
the lambda is 2.0
the regulation term lambda/alpha is 7.758947952582911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3087186140472383
the lambda is 2.0
the regulation term lambda/alpha is 6.478391353797577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3330549187761202
the lambda is 2.0
the regulation term lambda/alpha is 6.0050156513208615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4411827864515723
the lambda is 2.0
the regulation term lambda/alpha is 4.533268435257811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.295625766551352
the lambda is 2.0
the regulation term lambda/alpha is 6.765310153208814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4195547798589526
the lambda is 2.0
the regulation term lambda/alpha is 4.7669579659475385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36824253169743176
the lambda is 2.0
the regulation term lambda/alpha is 5.431203155107867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38004696319273906
the lambda is 2.0
the regulation term lambda/alpha is 5.262507515382275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2457878499250333
the lambda is 2.0
the regulation term lambda/alpha is 8.137098724001254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34405156371613227
the lambda is 2.0
the regulation term lambda/alpha is 5.813082139193956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.48240185470809005
the lambda is 2.0
the regulation term lambda/alpha is 4.145921041722022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3444559870401109
the lambda is 2.0
the regulation term lambda/alpha is 5.806257040807672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35930808070488274
the lambda is 2.0
the regulation term lambda/alpha is 5.566253884623033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24501758462963752
the lambda is 2.0
the regulation term lambda/alpha is 8.162679437980545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27252487623186467
the lambda is 2.0
the regulation term lambda/alpha is 7.338779591989967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3033675975118903
the lambda is 2.0
the regulation term lambda/alpha is 6.592661894029772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32991435675962305
the lambda is 2.0
the regulation term lambda/alpha is 6.062179347524449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3841589892130485
the lambda is 2.0
the regulation term lambda/alpha is 5.206177796586277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2704595033434923
the lambda is 2.0
the regulation term lambda/alpha is 7.39482242359935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2844295142393918
the lambda is 2.0
the regulation term lambda/alpha is 7.031619082669065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.17065008309192925
the lambda is 2.0
the regulation term lambda/alpha is 11.719888814367582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40603781409152895
the lambda is 2.0
the regulation term lambda/alpha is 4.925649608460262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34486627433283035
the lambda is 2.0
the regulation term lambda/alpha is 5.799349338723103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2355340009944012
the lambda is 2.0
the regulation term lambda/alpha is 8.491343039884681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3289840625775757
the lambda is 2.0
the regulation term lambda/alpha is 6.079321850213922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2368901992349399
the lambda is 2.0
the regulation term lambda/alpha is 8.442730034670898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31610143833877846
the lambda is 2.0
the regulation term lambda/alpha is 6.327082883617001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26259067500218064
the lambda is 2.0
the regulation term lambda/alpha is 7.6164166910473545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29952600291819054
the lambda is 2.0
the regulation term lambda/alpha is 6.677216603949606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3003777799095932
the lambda is 2.0
the regulation term lambda/alpha is 6.658282115947305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3014229761236995
the lambda is 2.0
the regulation term lambda/alpha is 6.63519425665557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2318148420277443
the lambda is 2.0
the regulation term lambda/alpha is 8.627575277344123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24384183467819512
the lambda is 2.0
the regulation term lambda/alpha is 8.20203802452297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32344145219424303
the lambda is 2.0
the regulation term lambda/alpha is 6.183499320918514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30886533394372906
the lambda is 2.0
the regulation term lambda/alpha is 6.475313932007572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3832304014221161
the lambda is 2.0
the regulation term lambda/alpha is 5.218792644263792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35331752236020997
the lambda is 2.0
the regulation term lambda/alpha is 5.660630660601612
180
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2813236943256107
the lambda is 2.0
the regulation term lambda/alpha is 7.109248315519249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25120465760024985
the lambda is 2.0
the regulation term lambda/alpha is 7.9616358195979995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2509420908782338
the lambda is 2.0
the regulation term lambda/alpha is 7.96996626990915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3472596859224905
the lambda is 2.0
the regulation term lambda/alpha is 5.759378589216389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3371547930672835
the lambda is 2.0
the regulation term lambda/alpha is 5.931993378486168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2593626405108594
the lambda is 2.0
the regulation term lambda/alpha is 7.711210820728288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2931131042789476
the lambda is 2.0
the regulation term lambda/alpha is 6.823304624745319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3903971398474609
the lambda is 2.0
the regulation term lambda/alpha is 5.122988351762659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24568462683778175
the lambda is 2.0
the regulation term lambda/alpha is 8.140517482685397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4241585739586212
the lambda is 2.0
the regulation term lambda/alpha is 4.715217663371129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2853458087852568
the lambda is 2.0
the regulation term lambda/alpha is 7.009039342523316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33352881276511004
the lambda is 2.0
the regulation term lambda/alpha is 5.996483432477882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32560607283274756
the lambda is 2.0
the regulation term lambda/alpha is 6.142391579494065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3244340839995417
the lambda is 2.0
the regulation term lambda/alpha is 6.164580414438901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.41291790521372207
the lambda is 2.0
the regulation term lambda/alpha is 4.8435778026259735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2598483256661776
the lambda is 2.0
the regulation term lambda/alpha is 7.696797717947828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3394864290500209
the lambda is 2.0
the regulation term lambda/alpha is 5.891251693319718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.325376665417047
the lambda is 2.0
the regulation term lambda/alpha is 6.146722283961353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35334133542306934
the lambda is 2.0
the regulation term lambda/alpha is 5.660249168428942
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.41130502214488224
the lambda is 2.0
the regulation term lambda/alpha is 4.862571309171858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3785994770147962
the lambda is 2.0
the regulation term lambda/alpha is 5.282627476851578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36819848662003374
the lambda is 2.0
the regulation term lambda/alpha is 5.43185285295298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2723507170236039
the lambda is 2.0
the regulation term lambda/alpha is 7.343472496996089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28932397478003136
the lambda is 2.0
the regulation term lambda/alpha is 6.91266598808678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4335849640928244
the lambda is 2.0
the regulation term lambda/alpha is 4.6127060798442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34904712881646655
the lambda is 2.0
the regulation term lambda/alpha is 5.72988526443839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.29555632166205076
the lambda is 2.0
the regulation term lambda/alpha is 6.766899752822302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.392589049208898
the lambda is 2.0
the regulation term lambda/alpha is 5.094385602528086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3027608710828263
the lambda is 2.0
the regulation term lambda/alpha is 6.605873450049825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28212306734833076
the lambda is 2.0
the regulation term lambda/alpha is 7.089104832149888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4246562125167671
the lambda is 2.0
the regulation term lambda/alpha is 4.709692078085475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35780813945847817
the lambda is 2.0
the regulation term lambda/alpha is 5.589587769095705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3188785153006994
the lambda is 2.0
the regulation term lambda/alpha is 6.27198103363602
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22154091486874447
the lambda is 2.0
the regulation term lambda/alpha is 9.027677804729356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3334581519116487
the lambda is 2.0
the regulation term lambda/alpha is 5.997754106577996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28113767798352657
the lambda is 2.0
the regulation term lambda/alpha is 7.113952190062519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.3031695343932393
the lambda is 2.0
the regulation term lambda/alpha is 6.596968933579627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27228518701952303
the lambda is 2.0
the regulation term lambda/alpha is 7.345239827007551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29335516821241303
the lambda is 2.0
the regulation term lambda/alpha is 6.81767433035929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35731172238798975
the lambda is 2.0
the regulation term lambda/alpha is 5.597353444307893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3450160088243849
the lambda is 2.0
the regulation term lambda/alpha is 5.796832462397452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3690325079666155
the lambda is 2.0
the regulation term lambda/alpha is 5.419576749539176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3187285451017921
the lambda is 2.0
the regulation term lambda/alpha is 6.274932166371422
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22520244379301874
the lambda is 2.0
the regulation term lambda/alpha is 8.880898298946434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2190035521861881
the lambda is 2.0
the regulation term lambda/alpha is 9.132271965614875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24319460593321068
the lambda is 2.0
the regulation term lambda/alpha is 8.223866612194788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29755886206878196
the lambda is 2.0
the regulation term lambda/alpha is 6.721359216441995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26746603036244915
the lambda is 2.0
the regulation term lambda/alpha is 7.477585087309053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33958519936450865
the lambda is 2.0
the regulation term lambda/alpha is 5.889538188774866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26027152550571253
the lambda is 2.0
the regulation term lambda/alpha is 7.684282773975992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3219482168799131
the lambda is 2.0
the regulation term lambda/alpha is 6.212179149126959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26091395628223435
the lambda is 2.0
the regulation term lambda/alpha is 7.665362284555493
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.43283870462911817
the lambda is 2.0
the regulation term lambda/alpha is 4.620658870406976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23551857410286972
the lambda is 2.0
the regulation term lambda/alpha is 8.491899238174058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21423632156762007
the lambda is 2.0
the regulation term lambda/alpha is 9.335485156604193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26522363109483793
the lambda is 2.0
the regulation term lambda/alpha is 7.540806193415117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3295700041078463
the lambda is 2.0
the regulation term lambda/alpha is 6.0685134419743285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32171600491174507
the lambda is 2.0
the regulation term lambda/alpha is 6.216663048979025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3243869720607969
the lambda is 2.0
the regulation term lambda/alpha is 6.165475719614159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2579814332717658
the lambda is 2.0
the regulation term lambda/alpha is 7.752495885597847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3307595543535098
the lambda is 2.0
the regulation term lambda/alpha is 6.046688519426521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3230317753903017
the lambda is 2.0
the regulation term lambda/alpha is 6.19134138610206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32901927684256166
the lambda is 2.0
the regulation term lambda/alpha is 6.078671192742958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37257324965260485
the lambda is 2.0
the regulation term lambda/alpha is 5.368071921064763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.26931307416553824
the lambda is 2.0
the regulation term lambda/alpha is 7.426301178273518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2507145845609405
the lambda is 2.0
the regulation term lambda/alpha is 7.977198468539295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2711755905705621
the lambda is 2.0
the regulation term lambda/alpha is 7.375295083867748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26231737332977545
the lambda is 2.0
the regulation term lambda/alpha is 7.6243520381918275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4042812336743746
the lambda is 2.0
the regulation term lambda/alpha is 4.9470512935331685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.25762471555298205
the lambda is 2.0
the regulation term lambda/alpha is 7.763230308501546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.260213391046192
the lambda is 2.0
the regulation term lambda/alpha is 7.685999525078124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31456200341722357
the lambda is 2.0
the regulation term lambda/alpha is 6.35804699319413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2774734764451647
the lambda is 2.0
the regulation term lambda/alpha is 7.207896140643364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38076133098559284
the lambda is 2.0
the regulation term lambda/alpha is 5.252634228436594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3633324816399816
the lambda is 2.0
the regulation term lambda/alpha is 5.504600059352131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2675273356508992
the lambda is 2.0
the regulation term lambda/alpha is 7.475871559569646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3087728099491694
the lambda is 2.0
the regulation term lambda/alpha is 6.477254264484113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3402732963885893
the lambda is 2.0
the regulation term lambda/alpha is 5.8776284275802135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28051109010655334
the lambda is 2.0
the regulation term lambda/alpha is 7.129842885143298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29892247733864846
the lambda is 2.0
the regulation term lambda/alpha is 6.690697928795115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32094362281517974
the lambda is 2.0
the regulation term lambda/alpha is 6.231624054271147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28488919470414215
the lambda is 2.0
the regulation term lambda/alpha is 7.020273275288671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32089444057612765
the lambda is 2.0
the regulation term lambda/alpha is 6.23257915097949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22663554413145043
the lambda is 2.0
the regulation term lambda/alpha is 8.824741095509644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3762883057739585
the lambda is 2.0
the regulation term lambda/alpha is 5.31507349367755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25938970840949804
the lambda is 2.0
the regulation term lambda/alpha is 7.7104061385604545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33344492043555735
the lambda is 2.0
the regulation term lambda/alpha is 5.997992104325747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30339326728265426
the lambda is 2.0
the regulation term lambda/alpha is 6.5921040961555475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4018080870821737
the lambda is 2.0
the regulation term lambda/alpha is 4.9775006135976065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23206451327068073
the lambda is 2.0
the regulation term lambda/alpha is 8.618293128114741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3302314429806978
the lambda is 2.0
the regulation term lambda/alpha is 6.056358479821987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2955277792037961
the lambda is 2.0
the regulation term lambda/alpha is 6.767553308823802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31766175393919616
the lambda is 2.0
the regulation term lambda/alpha is 6.2960050279859034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2662242159461146
the lambda is 2.0
the regulation term lambda/alpha is 7.512464607670446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29546034498357243
the lambda is 2.0
the regulation term lambda/alpha is 6.76909789742241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39176674802744904
the lambda is 2.0
the regulation term lambda/alpha is 5.105078493950871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3274950296238182
the lambda is 2.0
the regulation term lambda/alpha is 6.106962912680929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.250775262554073
the lambda is 2.0
the regulation term lambda/alpha is 7.975268292536443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31630927396554664
the lambda is 2.0
the regulation term lambda/alpha is 6.322925581429035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3330200940131328
the lambda is 2.0
the regulation term lambda/alpha is 6.005643611166385
190
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2997301367202937
the lambda is 2.0
the regulation term lambda/alpha is 6.672669027827481
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3409240662681001
the lambda is 2.0
the regulation term lambda/alpha is 5.86640896869749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2718766936139362
the lambda is 2.0
the regulation term lambda/alpha is 7.356276014007998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3446234409356615
the lambda is 2.0
the regulation term lambda/alpha is 5.803435757503752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34733237475982104
the lambda is 2.0
the regulation term lambda/alpha is 5.758173281091324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3394077586582408
the lambda is 2.0
the regulation term lambda/alpha is 5.892617210362172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30705842964590635
the lambda is 2.0
the regulation term lambda/alpha is 6.513418316853766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2826324367847264
the lambda is 2.0
the regulation term lambda/alpha is 7.076328615187743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4735517030151177
the lambda is 2.0
the regulation term lambda/alpha is 4.2234036690522725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25656485781306293
the lambda is 2.0
the regulation term lambda/alpha is 7.7952998592552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2663876641487569
the lambda is 2.0
the regulation term lambda/alpha is 7.507855164356089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38370888473633147
the lambda is 2.0
the regulation term lambda/alpha is 5.212284832482614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40099483850690204
the lambda is 2.0
the regulation term lambda/alpha is 4.987595370172266
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26827606799484455
the lambda is 2.0
the regulation term lambda/alpha is 7.455007131081234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2719219948637293
the lambda is 2.0
the regulation term lambda/alpha is 7.355050484247432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3328453477341434
the lambda is 2.0
the regulation term lambda/alpha is 6.0087966186550945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3097040634639709
the lambda is 2.0
the regulation term lambda/alpha is 6.457777717316479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.320868925345881
the lambda is 2.0
the regulation term lambda/alpha is 6.233074760493238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31129100865945336
the lambda is 2.0
the regulation term lambda/alpha is 6.424856306042438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.435343431850732
the lambda is 2.0
the regulation term lambda/alpha is 4.594074134752878
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28471504994293
the lambda is 2.0
the regulation term lambda/alpha is 7.024567195871423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34938017829837137
the lambda is 2.0
the regulation term lambda/alpha is 5.724423204947809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36351598638339827
the lambda is 2.0
the regulation term lambda/alpha is 5.501821308872538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.352352640075348
the lambda is 2.0
the regulation term lambda/alpha is 5.676131728635026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.48486040053572677
the lambda is 2.0
the regulation term lambda/alpha is 4.124898626058513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2931005284247098
the lambda is 2.0
the regulation term lambda/alpha is 6.8235973873849565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30738956501547055
the lambda is 2.0
the regulation term lambda/alpha is 6.506401737805714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3174382719447074
the lambda is 2.0
the regulation term lambda/alpha is 6.300437523640399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2564182568295119
the lambda is 2.0
the regulation term lambda/alpha is 7.799756634839638
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3062407578439267
the lambda is 2.0
the regulation term lambda/alpha is 6.530809334723776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32287513078362545
the lambda is 2.0
the regulation term lambda/alpha is 6.194345148683188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23267765594621387
the lambda is 2.0
the regulation term lambda/alpha is 8.595582553325718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31207665955965197
the lambda is 2.0
the regulation term lambda/alpha is 6.408681773324703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25810594507566914
the lambda is 2.0
the regulation term lambda/alpha is 7.748756036648665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4415145481475152
the lambda is 2.0
the regulation term lambda/alpha is 4.529862058660356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3715502464465298
the lambda is 2.0
the regulation term lambda/alpha is 5.382852034490098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25430834704229605
the lambda is 2.0
the regulation term lambda/alpha is 7.864468560551668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30491290353888634
the lambda is 2.0
the regulation term lambda/alpha is 6.55925012286315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32393666381081937
the lambda is 2.0
the regulation term lambda/alpha is 6.174046421519023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29520407195288806
the lambda is 2.0
the regulation term lambda/alpha is 6.774974297506242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37464555175884734
the lambda is 2.0
the regulation term lambda/alpha is 5.338379144262106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2996654469502227
the lambda is 2.0
the regulation term lambda/alpha is 6.674109478935752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34004206388400915
the lambda is 2.0
the regulation term lambda/alpha is 5.8816252823421715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4443262510167158
the lambda is 2.0
the regulation term lambda/alpha is 4.501197026787326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34051200528263165
the lambda is 2.0
the regulation term lambda/alpha is 5.87350803781488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33599601845064647
the lambda is 2.0
the regulation term lambda/alpha is 5.9524514880338515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2998990175922208
the lambda is 2.0
the regulation term lambda/alpha is 6.66891147579364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44834419539893394
the lambda is 2.0
the regulation term lambda/alpha is 4.460858466608254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28654778820075544
the lambda is 2.0
the regulation term lambda/alpha is 6.979638588586137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2158664541061365
the lambda is 2.0
the regulation term lambda/alpha is 9.264987504805386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3845721082925831
the lambda is 2.0
the regulation term lambda/alpha is 5.200585161725761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32855981219182856
the lambda is 2.0
the regulation term lambda/alpha is 6.087171728818455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3201640341565929
the lambda is 2.0
the regulation term lambda/alpha is 6.2467978493230625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3248810836661971
the lambda is 2.0
the regulation term lambda/alpha is 6.156098648251628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3779144406460633
the lambda is 2.0
the regulation term lambda/alpha is 5.292203167946961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3089415075110654
the lambda is 2.0
the regulation term lambda/alpha is 6.47371735870864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.347454463894769
the lambda is 2.0
the regulation term lambda/alpha is 5.756149964461891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27151105403608944
the lambda is 2.0
the regulation term lambda/alpha is 7.366182592824226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3022812661415412
the lambda is 2.0
the regulation term lambda/alpha is 6.616354448719005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3139274008625175
the lambda is 2.0
the regulation term lambda/alpha is 6.370899751041124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3163836945330705
the lambda is 2.0
the regulation term lambda/alpha is 6.321438286987785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3456722526194196
the lambda is 2.0
the regulation term lambda/alpha is 5.785827427120604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24478219029432527
the lambda is 2.0
the regulation term lambda/alpha is 8.17052906338981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3142488991194828
the lambda is 2.0
the regulation term lambda/alpha is 6.364381882017559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3125352418323674
the lambda is 2.0
the regulation term lambda/alpha is 6.399278328658781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2933765001473123
the lambda is 2.0
the regulation term lambda/alpha is 6.817178604952154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32877285694644176
the lambda is 2.0
the regulation term lambda/alpha is 6.083227242587751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2702964325703374
the lambda is 2.0
the regulation term lambda/alpha is 7.399283745557957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3209270908639332
the lambda is 2.0
the regulation term lambda/alpha is 6.231945064581541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3449658082655739
the lambda is 2.0
the regulation term lambda/alpha is 5.797676036519795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2321603400318672
the lambda is 2.0
the regulation term lambda/alpha is 8.614735831819821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.43566364656993395
the lambda is 2.0
the regulation term lambda/alpha is 4.590697469817359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3494120521041014
the lambda is 2.0
the regulation term lambda/alpha is 5.723901015881769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39563865135707893
the lambda is 2.0
the regulation term lambda/alpha is 5.055117828199561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  6  iterations
the alpha is 0.2693009833260354
the lambda is 2.0
the regulation term lambda/alpha is 7.426634597834551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2836910036638702
the lambda is 2.0
the regulation term lambda/alpha is 7.04992394601871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4953947179726098
the lambda is 2.0
the regulation term lambda/alpha is 4.037184748729152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29041998454407875
the lambda is 2.0
the regulation term lambda/alpha is 6.886578425860526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3210751242190889
the lambda is 2.0
the regulation term lambda/alpha is 6.229071793912254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3168141242177198
the lambda is 2.0
the regulation term lambda/alpha is 6.312849860903195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3520629866237503
the lambda is 2.0
the regulation term lambda/alpha is 5.680801663304072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3993475932430664
the lambda is 2.0
the regulation term lambda/alpha is 5.008168407271914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28522405371393544
the lambda is 2.0
the regulation term lambda/alpha is 7.012031327504705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3423719310314442
the lambda is 2.0
the regulation term lambda/alpha is 5.841600372947383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3713008301010583
the lambda is 2.0
the regulation term lambda/alpha is 5.386467893044173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3775876631281728
the lambda is 2.0
the regulation term lambda/alpha is 5.2967832249357585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2702370206730528
the lambda is 2.0
the regulation term lambda/alpha is 7.400910485982997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.40350409622718786
the lambda is 2.0
the regulation term lambda/alpha is 4.95657917404121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3107848019286428
the lambda is 2.0
the regulation term lambda/alpha is 6.43532112120208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44439685979985205
the lambda is 2.0
the regulation term lambda/alpha is 4.500481846115569
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3602643508840938
the lambda is 2.0
the regulation term lambda/alpha is 5.55147906000683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2799335463808523
the lambda is 2.0
the regulation term lambda/alpha is 7.144552790679044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2500763871294847
the lambda is 2.0
the regulation term lambda/alpha is 7.997556358507525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4210527318278628
the lambda is 2.0
the regulation term lambda/alpha is 4.749998869067192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3054775550351237
the lambda is 2.0
the regulation term lambda/alpha is 6.547125859279713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3778933326333152
the lambda is 2.0
the regulation term lambda/alpha is 5.292498774887566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3215470246344182
the lambda is 2.0
the regulation term lambda/alpha is 6.219930046853624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29012612958148526
the lambda is 2.0
the regulation term lambda/alpha is 6.893553513725405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3601779218027144
the lambda is 2.0
the regulation term lambda/alpha is 5.552811205056288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2332244779997696
the lambda is 2.0
the regulation term lambda/alpha is 8.575429205171062
200
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41324693800379647
the lambda is 2.0
the regulation term lambda/alpha is 4.839721280600575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35981919041392574
the lambda is 2.0
the regulation term lambda/alpha is 5.558347229060399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26029141149463825
the lambda is 2.0
the regulation term lambda/alpha is 7.683695702887984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28268100290801823
the lambda is 2.0
the regulation term lambda/alpha is 7.0751128637065905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37444114151268876
the lambda is 2.0
the regulation term lambda/alpha is 5.341293405741382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29887314805942894
the lambda is 2.0
the regulation term lambda/alpha is 6.691802234446011
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2910962786185573
the lambda is 2.0
the regulation term lambda/alpha is 6.870579072639854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3556795077929398
the lambda is 2.0
the regulation term lambda/alpha is 5.62303972025374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.366249199992701
the lambda is 2.0
the regulation term lambda/alpha is 5.460762781297156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37650705109978283
the lambda is 2.0
the regulation term lambda/alpha is 5.3119855103854485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24962733216119248
the lambda is 2.0
the regulation term lambda/alpha is 8.011943174189495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3223903997432412
the lambda is 2.0
the regulation term lambda/alpha is 6.203658674677794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3873169851899587
the lambda is 2.0
the regulation term lambda/alpha is 5.163729132661468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27476474379324417
the lambda is 2.0
the regulation term lambda/alpha is 7.278954251514038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3289987480756311
the lambda is 2.0
the regulation term lambda/alpha is 6.079050487876734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26047668801862667
the lambda is 2.0
the regulation term lambda/alpha is 7.678230306187632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3186487978652022
the lambda is 2.0
the regulation term lambda/alpha is 6.27650257399075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2898531599426206
the lambda is 2.0
the regulation term lambda/alpha is 6.900045527866318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32276190008386574
the lambda is 2.0
the regulation term lambda/alpha is 6.196518236756955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29606561145955407
the lambda is 2.0
the regulation term lambda/alpha is 6.755259383689763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27650102996831233
the lambda is 2.0
the regulation term lambda/alpha is 7.233246112064048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4300573176429202
the lambda is 2.0
the regulation term lambda/alpha is 4.650542888007814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43376985842799687
the lambda is 2.0
the regulation term lambda/alpha is 4.610739914589957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3762928663410275
the lambda is 2.0
the regulation term lambda/alpha is 5.315009076434194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2991619824729231
the lambda is 2.0
the regulation term lambda/alpha is 6.685341444349529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.43188952551185184
the lambda is 2.0
the regulation term lambda/alpha is 4.630813858311821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3659791937780575
the lambda is 2.0
the regulation term lambda/alpha is 5.464791534605297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3069863852100351
the lambda is 2.0
the regulation term lambda/alpha is 6.514946904344415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.372408145617796
the lambda is 2.0
the regulation term lambda/alpha is 5.37045181082749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29567587819308744
the lambda is 2.0
the regulation term lambda/alpha is 6.764163557143221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31550849807024983
the lambda is 2.0
the regulation term lambda/alpha is 6.338973473718252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2667051432416649
the lambda is 2.0
the regulation term lambda/alpha is 7.498918002446525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37497388093479767
the lambda is 2.0
the regulation term lambda/alpha is 5.3337048303579575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3728631875193245
the lambda is 2.0
the regulation term lambda/alpha is 5.363897716226934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3466302990445729
the lambda is 2.0
the regulation term lambda/alpha is 5.769836063127366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4255229751712283
the lambda is 2.0
the regulation term lambda/alpha is 4.700098741308175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28963554880096787
the lambda is 2.0
the regulation term lambda/alpha is 6.905229721557289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27289902012574685
the lambda is 2.0
the regulation term lambda/alpha is 7.328718142990901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3029631098350491
the lambda is 2.0
the regulation term lambda/alpha is 6.601463792370357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.517447441585183
the lambda is 2.0
the regulation term lambda/alpha is 3.865126850126202
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4156287865765915
the lambda is 2.0
the regulation term lambda/alpha is 4.811986235297595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26629682625094797
the lambda is 2.0
the regulation term lambda/alpha is 7.510416207947128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28428289740049384
the lambda is 2.0
the regulation term lambda/alpha is 7.035245589123244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2545176855688178
the lambda is 2.0
the regulation term lambda/alpha is 7.858000105298103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3870337950336659
the lambda is 2.0
the regulation term lambda/alpha is 5.167507400293122
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3129511729521046
the lambda is 2.0
the regulation term lambda/alpha is 6.390773299022236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3423047184432215
the lambda is 2.0
the regulation term lambda/alpha is 5.842747389214684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4363556094558349
the lambda is 2.0
the regulation term lambda/alpha is 4.5834176452873745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4496413491919123
the lambda is 2.0
the regulation term lambda/alpha is 4.447989500063474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29031057241210606
the lambda is 2.0
the regulation term lambda/alpha is 6.889173836772743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3822406405950051
the lambda is 2.0
the regulation term lambda/alpha is 5.232306007249128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3784745453407284
the lambda is 2.0
the regulation term lambda/alpha is 5.284371233472161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3203721792395956
the lambda is 2.0
the regulation term lambda/alpha is 6.242739318835382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3307543160151208
the lambda is 2.0
the regulation term lambda/alpha is 6.046784284165072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2906331815475773
the lambda is 2.0
the regulation term lambda/alpha is 6.881526704384908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25269950692254867
the lambda is 2.0
the regulation term lambda/alpha is 7.914538593116415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28342281832908506
the lambda is 2.0
the regulation term lambda/alpha is 7.056594849317249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4009366988839378
the lambda is 2.0
the regulation term lambda/alpha is 4.988318618792627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2577949591076751
the lambda is 2.0
the regulation term lambda/alpha is 7.7581035987776845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3299015471943267
the lambda is 2.0
the regulation term lambda/alpha is 6.062414732544164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2754831525745276
the lambda is 2.0
the regulation term lambda/alpha is 7.259972093788682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2777239719686249
the lambda is 2.0
the regulation term lambda/alpha is 7.201394916769894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41136391403876865
the lambda is 2.0
the regulation term lambda/alpha is 4.861875171217648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3140680233495852
the lambda is 2.0
the regulation term lambda/alpha is 6.368047210504537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4093302470294906
the lambda is 2.0
the regulation term lambda/alpha is 4.886030325181193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3234564781968665
the lambda is 2.0
the regulation term lambda/alpha is 6.183212069670568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31562018956344434
the lambda is 2.0
the regulation term lambda/alpha is 6.336730241390247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3756081801651174
the lambda is 2.0
the regulation term lambda/alpha is 5.324697665319216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3184025721135813
the lambda is 2.0
the regulation term lambda/alpha is 6.281356292833449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3384209361914156
the lambda is 2.0
the regulation term lambda/alpha is 5.909799856084471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3015724109721953
the lambda is 2.0
the regulation term lambda/alpha is 6.631906392075097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3154854209097105
the lambda is 2.0
the regulation term lambda/alpha is 6.3394371576123785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3063169987747868
the lambda is 2.0
the regulation term lambda/alpha is 6.529183845492226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41308355401443186
the lambda is 2.0
the regulation term lambda/alpha is 4.841635501010835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3271496135207501
the lambda is 2.0
the regulation term lambda/alpha is 6.1134108595642465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2757855940595017
the lambda is 2.0
the regulation term lambda/alpha is 7.252010413453623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2411966551429048
the lambda is 2.0
the regulation term lambda/alpha is 8.291988953225886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3737627254147177
the lambda is 2.0
the regulation term lambda/alpha is 5.35098837847153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3472639553315078
the lambda is 2.0
the regulation term lambda/alpha is 5.759307780995424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3143747669376277
the lambda is 2.0
the regulation term lambda/alpha is 6.3618337421998055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.364658943456219
the lambda is 2.0
the regulation term lambda/alpha is 5.484576851575615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3628034640330149
the lambda is 2.0
the regulation term lambda/alpha is 5.512626527231839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3361247592780425
the lambda is 2.0
the regulation term lambda/alpha is 5.950171609778974
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.39861787617295696
the lambda is 2.0
the regulation term lambda/alpha is 5.0173364506418086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4496249540546019
the lambda is 2.0
the regulation term lambda/alpha is 4.448151691681068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26262661792142783
the lambda is 2.0
the regulation term lambda/alpha is 7.615374312889932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3012884624483353
the lambda is 2.0
the regulation term lambda/alpha is 6.638156614918364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3685546808458434
the lambda is 2.0
the regulation term lambda/alpha is 5.42660317163777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28096527027605883
the lambda is 2.0
the regulation term lambda/alpha is 7.118317498938305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3204586639305427
the lambda is 2.0
the regulation term lambda/alpha is 6.241054541853445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22934347749917355
the lambda is 2.0
the regulation term lambda/alpha is 8.72054449426061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32428721907728864
the lambda is 2.0
the regulation term lambda/alpha is 6.16737226243669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3007066202918663
the lambda is 2.0
the regulation term lambda/alpha is 6.65100089269334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29636979852634904
the lambda is 2.0
the regulation term lambda/alpha is 6.7483259426050735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3228130943920515
the lambda is 2.0
the regulation term lambda/alpha is 6.1955355428396315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28529145324474897
the lambda is 2.0
the regulation term lambda/alpha is 7.010374749236592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23601859208537648
the lambda is 2.0
the regulation term lambda/alpha is 8.473908696466284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3383692576144378
the lambda is 2.0
the regulation term lambda/alpha is 5.9107024500403735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3291171038257659
the lambda is 2.0
the regulation term lambda/alpha is 6.076864364541798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3218150643368996
the lambda is 2.0
the regulation term lambda/alpha is 6.214749468366258
210
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30480897582040134
the lambda is 2.0
the regulation term lambda/alpha is 6.561486565862923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30942690601248074
the lambda is 2.0
the regulation term lambda/alpha is 6.463562027535285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34603533254505264
the lambda is 2.0
the regulation term lambda/alpha is 5.779756608350411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2953921860012205
the lambda is 2.0
the regulation term lambda/alpha is 6.770659803410427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3632346872029839
the lambda is 2.0
the regulation term lambda/alpha is 5.506082074376212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31725612207734744
the lambda is 2.0
the regulation term lambda/alpha is 6.30405486552722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3398508771361349
the lambda is 2.0
the regulation term lambda/alpha is 5.884934053587436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2862579411403264
the lambda is 2.0
the regulation term lambda/alpha is 6.986705738303277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2709336245123448
the lambda is 2.0
the regulation term lambda/alpha is 7.381881830281542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24228636807826714
the lambda is 2.0
the regulation term lambda/alpha is 8.254694706364695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3987441589937161
the lambda is 2.0
the regulation term lambda/alpha is 5.015747453322616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3409647834110334
the lambda is 2.0
the regulation term lambda/alpha is 5.865708417132915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2704208470819067
the lambda is 2.0
the regulation term lambda/alpha is 7.395879502567447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2802006850890968
the lambda is 2.0
the regulation term lambda/alpha is 7.137741291974536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32803028530935785
the lambda is 2.0
the regulation term lambda/alpha is 6.096998019904918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22761878385770623
the lambda is 2.0
the regulation term lambda/alpha is 8.786621060458181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26792187343281365
the lambda is 2.0
the regulation term lambda/alpha is 7.4648627018560205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40560961762836506
the lambda is 2.0
the regulation term lambda/alpha is 4.93084954862307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43780487399678225
the lambda is 2.0
the regulation term lambda/alpha is 4.568245167628489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3318176916637775
the lambda is 2.0
the regulation term lambda/alpha is 6.027406163823686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2986916017563867
the lambda is 2.0
the regulation term lambda/alpha is 6.695869546513741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3224661638767995
the lambda is 2.0
the regulation term lambda/alpha is 6.202201111444717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2601561201370189
the lambda is 2.0
the regulation term lambda/alpha is 7.687691525175887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.5250311658711798
the lambda is 2.0
the regulation term lambda/alpha is 3.8092976760368438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37241457925086785
the lambda is 2.0
the regulation term lambda/alpha is 5.3703590338034255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37708734134753924
the lambda is 2.0
the regulation term lambda/alpha is 5.303811029171403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26063317850557044
the lambda is 2.0
the regulation term lambda/alpha is 7.673620110331634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3295878240304871
the lambda is 2.0
the regulation term lambda/alpha is 6.068185333858082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30163290291198824
the lambda is 2.0
the regulation term lambda/alpha is 6.6305763750964815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3622048519835258
the lambda is 2.0
the regulation term lambda/alpha is 5.521737185593985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33424765269239937
the lambda is 2.0
the regulation term lambda/alpha is 5.983587270964488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29951753185518243
the lambda is 2.0
the regulation term lambda/alpha is 6.677405451401108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3190628329717644
the lambda is 2.0
the regulation term lambda/alpha is 6.268357807056113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25569826223889075
the lambda is 2.0
the regulation term lambda/alpha is 7.821719171996029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25914782618864085
the lambda is 2.0
the regulation term lambda/alpha is 7.717602842418384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38221741783184726
the lambda is 2.0
the regulation term lambda/alpha is 5.232623911660353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2497999911370914
the lambda is 2.0
the regulation term lambda/alpha is 8.00640540816669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3259653393657639
the lambda is 2.0
the regulation term lambda/alpha is 6.135621670363582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32521082501828386
the lambda is 2.0
the regulation term lambda/alpha is 6.149856788707931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3541667195656679
the lambda is 2.0
the regulation term lambda/alpha is 5.647057980074182
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3278176150361213
the lambda is 2.0
the regulation term lambda/alpha is 6.100953421248049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36142582301893267
the lambda is 2.0
the regulation term lambda/alpha is 5.533638917369868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30006509896055095
the lambda is 2.0
the regulation term lambda/alpha is 6.665220336947406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30373971519983967
the lambda is 2.0
the regulation term lambda/alpha is 6.584585090178736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.47054521281642603
the lambda is 2.0
the regulation term lambda/alpha is 4.250388582276918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3552240513789824
the lambda is 2.0
the regulation term lambda/alpha is 5.630249393969764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26937923519917767
the lambda is 2.0
the regulation term lambda/alpha is 7.424477237531727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.20532860961787652
the lambda is 2.0
the regulation term lambda/alpha is 9.740483821139525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3188429280915953
the lambda is 2.0
the regulation term lambda/alpha is 6.272681072058941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3439834949020921
the lambda is 2.0
the regulation term lambda/alpha is 5.81423245487188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31651833577031907
the lambda is 2.0
the regulation term lambda/alpha is 6.318749260236526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2729401830760043
the lambda is 2.0
the regulation term lambda/alpha is 7.327612876419408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4053248510088497
the lambda is 2.0
the regulation term lambda/alpha is 4.934313785651235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3537266025089632
the lambda is 2.0
the regulation term lambda/alpha is 5.65408421592866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27111437699185337
the lambda is 2.0
the regulation term lambda/alpha is 7.376960315387839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2583348128025572
the lambda is 2.0
the regulation term lambda/alpha is 7.741891146233476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4141466824111656
the lambda is 2.0
the regulation term lambda/alpha is 4.829206860612724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35688446157659365
the lambda is 2.0
the regulation term lambda/alpha is 5.604054575995501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3076803427561456
the lambda is 2.0
the regulation term lambda/alpha is 6.5002527691056144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2713931636844392
the lambda is 2.0
the regulation term lambda/alpha is 7.369382385495488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35924166943443525
the lambda is 2.0
the regulation term lambda/alpha is 5.567282891065112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27415072505381216
the lambda is 2.0
the regulation term lambda/alpha is 7.295257014576293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.263172634893043
the lambda is 2.0
the regulation term lambda/alpha is 7.5995743281319035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4070137907295591
the lambda is 2.0
the regulation term lambda/alpha is 4.913838414209662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2917944089591088
the lambda is 2.0
the regulation term lambda/alpha is 6.854140924544836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27665301657701397
the lambda is 2.0
the regulation term lambda/alpha is 7.229272338128455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3896863924777392
the lambda is 2.0
the regulation term lambda/alpha is 5.1323321486373175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29532624278195735
the lambda is 2.0
the regulation term lambda/alpha is 6.7721716199688435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.330769879345338
the lambda is 2.0
the regulation term lambda/alpha is 6.046499771860768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2802001441092002
the lambda is 2.0
the regulation term lambda/alpha is 7.137755072747414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.4248395502732578
the lambda is 2.0
the regulation term lambda/alpha is 4.7076596298852005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3234311387711849
the lambda is 2.0
the regulation term lambda/alpha is 6.183696497494396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36233727943370764
the lambda is 2.0
the regulation term lambda/alpha is 5.519719094667197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35176443524599044
the lambda is 2.0
the regulation term lambda/alpha is 5.68562310343111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34285254708263924
the lambda is 2.0
the regulation term lambda/alpha is 5.833411526378223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3262364501946878
the lambda is 2.0
the regulation term lambda/alpha is 6.1305228119251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2897982102840979
the lambda is 2.0
the regulation term lambda/alpha is 6.901353869781803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38090338737947704
the lambda is 2.0
the regulation term lambda/alpha is 5.250675279523018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3861320206907632
the lambda is 2.0
the regulation term lambda/alpha is 5.179575618779659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.357146219053462
the lambda is 2.0
the regulation term lambda/alpha is 5.599947285737934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.42935535366801275
the lambda is 2.0
the regulation term lambda/alpha is 4.658146178716209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33111134777111434
the lambda is 2.0
the regulation term lambda/alpha is 6.040264139127391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3518168280952312
the lambda is 2.0
the regulation term lambda/alpha is 5.684776395797168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4251486112393462
the lambda is 2.0
the regulation term lambda/alpha is 4.704237405762237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.297700315863215
the lambda is 2.0
the regulation term lambda/alpha is 6.718165528984337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33397002264365405
the lambda is 2.0
the regulation term lambda/alpha is 5.9885614408392565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3252120902613081
the lambda is 2.0
the regulation term lambda/alpha is 6.149832862588223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31961857925872766
the lambda is 2.0
the regulation term lambda/alpha is 6.257458513952727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3030821500253612
the lambda is 2.0
the regulation term lambda/alpha is 6.598870965619865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2691605871676609
the lambda is 2.0
the regulation term lambda/alpha is 7.430508385517061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3141918431566755
the lambda is 2.0
the regulation term lambda/alpha is 6.3655376279220475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3192899247977944
the lambda is 2.0
the regulation term lambda/alpha is 6.2638994990731245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31444480024260907
the lambda is 2.0
the regulation term lambda/alpha is 6.3604168313704195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3137253207282291
the lambda is 2.0
the regulation term lambda/alpha is 6.375003443641517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27055354422327
the lambda is 2.0
the regulation term lambda/alpha is 7.392252079867532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2803051838851017
the lambda is 2.0
the regulation term lambda/alpha is 7.1350803159595095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2643518495995467
the lambda is 2.0
the regulation term lambda/alpha is 7.565674320152097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3158956476738851
the lambda is 2.0
the regulation term lambda/alpha is 6.331204670678781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23347783430672636
the lambda is 2.0
the regulation term lambda/alpha is 8.566123657685397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23430656188643748
the lambda is 2.0
the regulation term lambda/alpha is 8.535825816817498
220
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29035286720339964
the lambda is 2.0
the regulation term lambda/alpha is 6.888170312432109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3290658473407392
the lambda is 2.0
the regulation term lambda/alpha is 6.077810918885945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27914889993285213
the lambda is 2.0
the regulation term lambda/alpha is 7.164635076409364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3582803961249829
the lambda is 2.0
the regulation term lambda/alpha is 5.582220019937451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23707098108387892
the lambda is 2.0
the regulation term lambda/alpha is 8.43629191078588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4013105486722268
the lambda is 2.0
the regulation term lambda/alpha is 4.983671639375505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30606008236370547
the lambda is 2.0
the regulation term lambda/alpha is 6.534664646738567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3064834283298904
the lambda is 2.0
the regulation term lambda/alpha is 6.525638305792033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3995446504757926
the lambda is 2.0
the regulation term lambda/alpha is 5.005698355911726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2600959696010441
the lambda is 2.0
the regulation term lambda/alpha is 7.689469402650719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44902294407259746
the lambda is 2.0
the regulation term lambda/alpha is 4.454115377401834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3632697299942689
the lambda is 2.0
the regulation term lambda/alpha is 5.505550930520837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28534439261483596
the lambda is 2.0
the regulation term lambda/alpha is 7.009074128537873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31948573185103685
the lambda is 2.0
the regulation term lambda/alpha is 6.260060467841232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28053854360862823
the lambda is 2.0
the regulation term lambda/alpha is 7.129145158713542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3374730591517354
the lambda is 2.0
the regulation term lambda/alpha is 5.926398999159087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34719086205690636
the lambda is 2.0
the regulation term lambda/alpha is 5.760520274500167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24865721052009065
the lambda is 2.0
the regulation term lambda/alpha is 8.043201304385287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3310123204158685
the lambda is 2.0
the regulation term lambda/alpha is 6.042071175741413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22845756691480626
the lambda is 2.0
the regulation term lambda/alpha is 8.754360938921392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2429477683802087
the lambda is 2.0
the regulation term lambda/alpha is 8.232222149371784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3706098744286493
the lambda is 2.0
the regulation term lambda/alpha is 5.396510287491125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32352647721833266
the lambda is 2.0
the regulation term lambda/alpha is 6.1818742539897125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29092718072430185
the lambda is 2.0
the regulation term lambda/alpha is 6.874572513371677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3247531939594184
the lambda is 2.0
the regulation term lambda/alpha is 6.158522955897157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30032667593983225
the lambda is 2.0
the regulation term lambda/alpha is 6.659415097714071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4137000555026529
the lambda is 2.0
the regulation term lambda/alpha is 4.834420429482333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3681649326976607
the lambda is 2.0
the regulation term lambda/alpha is 5.432347902733072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31408245969252785
the lambda is 2.0
the regulation term lambda/alpha is 6.367754512486648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3057118708702239
the lambda is 2.0
the regulation term lambda/alpha is 6.542107751023543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2915285458843938
the lambda is 2.0
the regulation term lambda/alpha is 6.860391643407379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3170636611553231
the lambda is 2.0
the regulation term lambda/alpha is 6.30788149203967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34083081740384524
the lambda is 2.0
the regulation term lambda/alpha is 5.868013976066696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3282044435845553
the lambda is 2.0
the regulation term lambda/alpha is 6.093762711304486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3128019450955819
the lambda is 2.0
the regulation term lambda/alpha is 6.393822133647111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3439698046419816
the lambda is 2.0
the regulation term lambda/alpha is 5.814463865750323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26696781203577935
the lambda is 2.0
the regulation term lambda/alpha is 7.491539840510652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3614635219923962
the lambda is 2.0
the regulation term lambda/alpha is 5.533061784425573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2728731485700832
the lambda is 2.0
the regulation term lambda/alpha is 7.329412990909698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38252432312334367
the lambda is 2.0
the regulation term lambda/alpha is 5.228425695050787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3231136235800316
the lambda is 2.0
the regulation term lambda/alpha is 6.189773052093616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42395403405591153
the lambda is 2.0
the regulation term lambda/alpha is 4.717492556601638
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24422207608404672
the lambda is 2.0
the regulation term lambda/alpha is 8.189267866643304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3102011487037827
the lambda is 2.0
the regulation term lambda/alpha is 6.447429380443205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34921035807514345
the lambda is 2.0
the regulation term lambda/alpha is 5.72720697926617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3527482165375183
the lambda is 2.0
the regulation term lambda/alpha is 5.66976644029972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3504900227739927
the lambda is 2.0
the regulation term lambda/alpha is 5.706296527846285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4808018587359643
the lambda is 2.0
the regulation term lambda/alpha is 4.159717695888347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.333785827603558
the lambda is 2.0
the regulation term lambda/alpha is 5.991866144704703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26355042668346385
the lambda is 2.0
the regulation term lambda/alpha is 7.588680561697939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37220222097989447
the lambda is 2.0
the regulation term lambda/alpha is 5.373423067531979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25398855098297984
the lambda is 2.0
the regulation term lambda/alpha is 7.874370684267666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30408670709915914
the lambda is 2.0
the regulation term lambda/alpha is 6.577071451360165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2726557401690409
the lambda is 2.0
the regulation term lambda/alpha is 7.335257268965037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2675934513040026
the lambda is 2.0
the regulation term lambda/alpha is 7.474024458572707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28166458608965583
the lambda is 2.0
the regulation term lambda/alpha is 7.10064416604857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2684569571546272
the lambda is 2.0
the regulation term lambda/alpha is 7.4499838677975845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3139623832021173
the lambda is 2.0
the regulation term lambda/alpha is 6.370189892183595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3634568848321113
the lambda is 2.0
the regulation term lambda/alpha is 5.50271595742049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32823983679214064
the lambda is 2.0
the regulation term lambda/alpha is 6.093105637468706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3472182476089511
the lambda is 2.0
the regulation term lambda/alpha is 5.76006593481938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33043585324670216
the lambda is 2.0
the regulation term lambda/alpha is 6.052611967947702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2893459755970167
the lambda is 2.0
the regulation term lambda/alpha is 6.912140374074106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25321355128842266
the lambda is 2.0
the regulation term lambda/alpha is 7.898471427865651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.307805453797664
the lambda is 2.0
the regulation term lambda/alpha is 6.497610667141397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2976807712564548
the lambda is 2.0
the regulation term lambda/alpha is 6.7186066186216005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3214714331399932
the lambda is 2.0
the regulation term lambda/alpha is 6.2213926147803225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37642287395193724
the lambda is 2.0
the regulation term lambda/alpha is 5.313173397255784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3861043809404111
the lambda is 2.0
the regulation term lambda/alpha is 5.179946404981784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3595471424972678
the lambda is 2.0
the regulation term lambda/alpha is 5.562552899485769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33757232821262917
the lambda is 2.0
the regulation term lambda/alpha is 5.924656237641153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3150171151705114
the lambda is 2.0
the regulation term lambda/alpha is 6.348861390967429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2582948896366181
the lambda is 2.0
the regulation term lambda/alpha is 7.743087766133112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3576269794235842
the lambda is 2.0
the regulation term lambda/alpha is 5.592419238681486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33813014033875266
the lambda is 2.0
the regulation term lambda/alpha is 5.914882352683254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.307553577195322
the lambda is 2.0
the regulation term lambda/alpha is 6.502932003713402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33477593984992765
the lambda is 2.0
the regulation term lambda/alpha is 5.974144978568513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3848094032514498
the lambda is 2.0
the regulation term lambda/alpha is 5.1973781906080925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3879596843705638
the lambda is 2.0
the regulation term lambda/alpha is 5.155174830201375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25085969781552947
the lambda is 2.0
the regulation term lambda/alpha is 7.972583947983174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41123832209521544
the lambda is 2.0
the regulation term lambda/alpha is 4.863359985057358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27811637872802764
the lambda is 2.0
the regulation term lambda/alpha is 7.191234148621707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3724402801553668
the lambda is 2.0
the regulation term lambda/alpha is 5.369988442618726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2680978509122825
the lambda is 2.0
the regulation term lambda/alpha is 7.459962820270309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2930045540283111
the lambda is 2.0
the regulation term lambda/alpha is 6.825832474285547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2771933281638503
the lambda is 2.0
the regulation term lambda/alpha is 7.215180874836174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28548465005906526
the lambda is 2.0
the regulation term lambda/alpha is 7.005630599004922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3168107235436597
the lambda is 2.0
the regulation term lambda/alpha is 6.312917623586627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.45615254929890137
the lambda is 2.0
the regulation term lambda/alpha is 4.384498131324632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27815818466124725
the lambda is 2.0
the regulation term lambda/alpha is 7.190153338236961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35408001848837545
the lambda is 2.0
the regulation term lambda/alpha is 5.648440735340903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3034588583359391
the lambda is 2.0
the regulation term lambda/alpha is 6.590679247154925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.36657674387673583
the lambda is 2.0
the regulation term lambda/alpha is 5.455883477083082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2581779671671858
the lambda is 2.0
the regulation term lambda/alpha is 7.746594420680676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2939935559974957
the lambda is 2.0
the regulation term lambda/alpha is 6.8028701963012965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3648572723071453
the lambda is 2.0
the regulation term lambda/alpha is 5.481595549276467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30381287034160204
the lambda is 2.0
the regulation term lambda/alpha is 6.582999587052497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39672964759517876
the lambda is 2.0
the regulation term lambda/alpha is 5.041216385322408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2870888524439744
the lambda is 2.0
the regulation term lambda/alpha is 6.966484358323531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28433917745766696
the lambda is 2.0
the regulation term lambda/alpha is 7.033853083076336
230
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2918136628405578
the lambda is 2.0
the regulation term lambda/alpha is 6.853688687951418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34153766310701583
the lambda is 2.0
the regulation term lambda/alpha is 5.855869545413295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26679519693257664
the lambda is 2.0
the regulation term lambda/alpha is 7.496386827778731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28886899737740984
the lambda is 2.0
the regulation term lambda/alpha is 6.923553645969777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28310569094061494
the lambda is 2.0
the regulation term lambda/alpha is 7.06449945726992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27789676450115275
the lambda is 2.0
the regulation term lambda/alpha is 7.196917184660866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29450784934201313
the lambda is 2.0
the regulation term lambda/alpha is 6.790990476037846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4069326965571815
the lambda is 2.0
the regulation term lambda/alpha is 4.914817651471177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2551698247700127
the lambda is 2.0
the regulation term lambda/alpha is 7.837917362692165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2791368594408754
the lambda is 2.0
the regulation term lambda/alpha is 7.164944120981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42387536947493776
the lambda is 2.0
the regulation term lambda/alpha is 4.718368048790938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2986158101308887
the lambda is 2.0
the regulation term lambda/alpha is 6.697569023968837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3083459075904638
the lambda is 2.0
the regulation term lambda/alpha is 6.486221969439408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34905191884419284
the lambda is 2.0
the regulation term lambda/alpha is 5.729806633415887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29077401412310205
the lambda is 2.0
the regulation term lambda/alpha is 6.878193727288437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3410201856109104
the lambda is 2.0
the regulation term lambda/alpha is 5.864755473102449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37995128950160956
the lambda is 2.0
the regulation term lambda/alpha is 5.263832641872183
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34889085575116513
the lambda is 2.0
the regulation term lambda/alpha is 5.732451759717182
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3334594281175631
the lambda is 2.0
the regulation term lambda/alpha is 5.997731152153504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3761712594992158
the lambda is 2.0
the regulation term lambda/alpha is 5.316727287094003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2852709351062478
the lambda is 2.0
the regulation term lambda/alpha is 7.010878971091498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2970963512526559
the lambda is 2.0
the regulation term lambda/alpha is 6.731822829756551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3407525224206486
the lambda is 2.0
the regulation term lambda/alpha is 5.869362274392972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3374862506447556
the lambda is 2.0
the regulation term lambda/alpha is 5.926167351052288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2649080564386341
the lambda is 2.0
the regulation term lambda/alpha is 7.549789262310713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2867959748810421
the lambda is 2.0
the regulation term lambda/alpha is 6.973598568911453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26118617399439853
the lambda is 2.0
the regulation term lambda/alpha is 7.657373165713176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4039126523008724
the lambda is 2.0
the regulation term lambda/alpha is 4.951565613523318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3210975057542427
the lambda is 2.0
the regulation term lambda/alpha is 6.228637607452278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3219841796336106
the lambda is 2.0
the regulation term lambda/alpha is 6.211485304265018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25495839683911603
the lambda is 2.0
the regulation term lambda/alpha is 7.844417068805312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2595392564905553
the lambda is 2.0
the regulation term lambda/alpha is 7.705963356155258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36159499120675154
the lambda is 2.0
the regulation term lambda/alpha is 5.531050066057046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28273369071076365
the lambda is 2.0
the regulation term lambda/alpha is 7.0737944069283145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3174107902237023
the lambda is 2.0
the regulation term lambda/alpha is 6.300983021372574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3584404728903916
the lambda is 2.0
the regulation term lambda/alpha is 5.579727043300673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3521953261891623
the lambda is 2.0
the regulation term lambda/alpha is 5.678667067051907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3086181145807351
the lambda is 2.0
the regulation term lambda/alpha is 6.480500999486198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41272617087716146
the lambda is 2.0
the regulation term lambda/alpha is 4.845827914787731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3769012681210161
the lambda is 2.0
the regulation term lambda/alpha is 5.306429479451464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28979136491973123
the lambda is 2.0
the regulation term lambda/alpha is 6.901516891484936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3122512199544115
the lambda is 2.0
the regulation term lambda/alpha is 6.405099074687358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3066209519601567
the lambda is 2.0
the regulation term lambda/alpha is 6.522711469044967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2662246674253514
the lambda is 2.0
the regulation term lambda/alpha is 7.5124518675971075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3471729207117999
the lambda is 2.0
the regulation term lambda/alpha is 5.760817969038168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3428286296327044
the lambda is 2.0
the regulation term lambda/alpha is 5.83381849451353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3859646107098826
the lambda is 2.0
the regulation term lambda/alpha is 5.1818222305965165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2944277612483343
the lambda is 2.0
the regulation term lambda/alpha is 6.792837711771022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3007601531666979
the lambda is 2.0
the regulation term lambda/alpha is 6.649817068325169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21262013128280546
the lambda is 2.0
the regulation term lambda/alpha is 9.406447018602417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27554033025791613
the lambda is 2.0
the regulation term lambda/alpha is 7.258465568825894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3658820991743078
the lambda is 2.0
the regulation term lambda/alpha is 5.466241733371032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.386853539696341
the lambda is 2.0
the regulation term lambda/alpha is 5.169915212795756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2806675676216028
the lambda is 2.0
the regulation term lambda/alpha is 7.1258678619269915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24870550237123723
the lambda is 2.0
the regulation term lambda/alpha is 8.041639533228517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.346924873023341
the lambda is 2.0
the regulation term lambda/alpha is 5.764936894177203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30470341852459676
the lambda is 2.0
the regulation term lambda/alpha is 6.563759637762491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30487099993391115
the lambda is 2.0
the regulation term lambda/alpha is 6.560151672128713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2732497050415309
the lambda is 2.0
the regulation term lambda/alpha is 7.319312566855369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25620928561204065
the lambda is 2.0
the regulation term lambda/alpha is 7.806118327141572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3247996348828513
the lambda is 2.0
the regulation term lambda/alpha is 6.157642389965616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30492050836627727
the lambda is 2.0
the regulation term lambda/alpha is 6.559086532800725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25770727605207944
the lambda is 2.0
the regulation term lambda/alpha is 7.760743237982248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35276540489413105
the lambda is 2.0
the regulation term lambda/alpha is 5.669490183143733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28267213826544674
the lambda is 2.0
the regulation term lambda/alpha is 7.075334740355187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25631479568920407
the lambda is 2.0
the regulation term lambda/alpha is 7.802904996655406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3666590045925205
the lambda is 2.0
the regulation term lambda/alpha is 5.454659438195612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3385498637677111
the lambda is 2.0
the regulation term lambda/alpha is 5.907549268347241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2884671885634815
the lambda is 2.0
the regulation term lambda/alpha is 6.933197532654117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33488233217201224
the lambda is 2.0
the regulation term lambda/alpha is 5.972246989048979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3346461434269437
the lambda is 2.0
the regulation term lambda/alpha is 5.9764621206119415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3863344861486764
the lambda is 2.0
the regulation term lambda/alpha is 5.176861170064748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2842324240262096
the lambda is 2.0
the regulation term lambda/alpha is 7.036494892699421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29245160374602347
the lambda is 2.0
the regulation term lambda/alpha is 6.8387383566440585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24019771025474118
the lambda is 2.0
the regulation term lambda/alpha is 8.326474044564804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.355036050105115
the lambda is 2.0
the regulation term lambda/alpha is 5.633230764616334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.45297220521299025
the lambda is 2.0
the regulation term lambda/alpha is 4.415281946625374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3684714746847841
the lambda is 2.0
the regulation term lambda/alpha is 5.427828576719373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.45164087057586233
the lambda is 2.0
the regulation term lambda/alpha is 4.428297194294906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2941822625279647
the lambda is 2.0
the regulation term lambda/alpha is 6.798506418482256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33227446008036887
the lambda is 2.0
the regulation term lambda/alpha is 6.019120456974785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22049066778862125
the lambda is 2.0
the regulation term lambda/alpha is 9.070678682498022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2698058129275863
the lambda is 2.0
the regulation term lambda/alpha is 7.412738733456361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33239894711470064
the lambda is 2.0
the regulation term lambda/alpha is 6.016866230655844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3053214353797877
the lambda is 2.0
the regulation term lambda/alpha is 6.550473593549732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27575339074637073
the lambda is 2.0
the regulation term lambda/alpha is 7.252857325114587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3639289769529278
the lambda is 2.0
the regulation term lambda/alpha is 5.4955777820865555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32356871671438525
the lambda is 2.0
the regulation term lambda/alpha is 6.181067256156917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3152899466827238
the lambda is 2.0
the regulation term lambda/alpha is 6.3433674972599094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25865901586160694
the lambda is 2.0
the regulation term lambda/alpha is 7.732187464403255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37137196625483426
the lambda is 2.0
the regulation term lambda/alpha is 5.3854361172421035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2540553930397067
the lambda is 2.0
the regulation term lambda/alpha is 7.8722989347737125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32828913377358715
the lambda is 2.0
the regulation term lambda/alpha is 6.092190676586178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2634660216429039
the lambda is 2.0
the regulation term lambda/alpha is 7.591111702103114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2660927113781226
the lambda is 2.0
the regulation term lambda/alpha is 7.51617731144076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30949854658876835
the lambda is 2.0
the regulation term lambda/alpha is 6.46206588704084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33091107364025785
the lambda is 2.0
the regulation term lambda/alpha is 6.043919830178463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2313338386560779
the lambda is 2.0
the regulation term lambda/alpha is 8.645514256015884
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38749907927732347
the lambda is 2.0
the regulation term lambda/alpha is 5.16130258613763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.521768579875631
the lambda is 2.0
the regulation term lambda/alpha is 3.8331169739594535
240
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3672971158145345
the lambda is 2.0
the regulation term lambda/alpha is 5.44518297009959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29842641904923123
the lambda is 2.0
the regulation term lambda/alpha is 6.701819518432318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2861716768702579
the lambda is 2.0
the regulation term lambda/alpha is 6.988811827477752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41089801610054694
the lambda is 2.0
the regulation term lambda/alpha is 4.867387822847505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2994703028440932
the lambda is 2.0
the regulation term lambda/alpha is 6.678458534972722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4208936057486006
the lambda is 2.0
the regulation term lambda/alpha is 4.751794687977746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26479547285964916
the lambda is 2.0
the regulation term lambda/alpha is 7.552999220119106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.38402336515051066
the lambda is 2.0
the regulation term lambda/alpha is 5.208016442479061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2646583317509511
the lambda is 2.0
the regulation term lambda/alpha is 7.556913046221575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3336797016546617
the lambda is 2.0
the regulation term lambda/alpha is 5.99377184192606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.21127773664186603
the lambda is 2.0
the regulation term lambda/alpha is 9.46621272921989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41435229186240924
the lambda is 2.0
the regulation term lambda/alpha is 4.8268105167477255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2584920896675628
the lambda is 2.0
the regulation term lambda/alpha is 7.737180671842324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3464863630053389
the lambda is 2.0
the regulation term lambda/alpha is 5.772232946348836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3886927529356241
the lambda is 2.0
the regulation term lambda/alpha is 5.145452249610743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29706060147349567
the lambda is 2.0
the regulation term lambda/alpha is 6.732632971452608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37123443385623955
the lambda is 2.0
the regulation term lambda/alpha is 5.387431276847825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3608768598330467
the lambda is 2.0
the regulation term lambda/alpha is 5.54205664759238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3135359460569077
the lambda is 2.0
the regulation term lambda/alpha is 6.378853924573592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3131399512041089
the lambda is 2.0
the regulation term lambda/alpha is 6.386920583941627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23868959753968252
the lambda is 2.0
the regulation term lambda/alpha is 8.379083213576147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3387363507227476
the lambda is 2.0
the regulation term lambda/alpha is 5.904296942836762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2680711648158627
the lambda is 2.0
the regulation term lambda/alpha is 7.460705448770644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.379358784506058
the lambda is 2.0
the regulation term lambda/alpha is 5.27205400714284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3190504808969098
the lambda is 2.0
the regulation term lambda/alpha is 6.268600487225817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2492442594147814
the lambda is 2.0
the regulation term lambda/alpha is 8.02425702680553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3337185330570001
the lambda is 2.0
the regulation term lambda/alpha is 5.993074408182161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26756422543265024
the lambda is 2.0
the regulation term lambda/alpha is 7.474840841543776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3238379136493627
the lambda is 2.0
the regulation term lambda/alpha is 6.175929116704696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4324531857541626
the lambda is 2.0
the regulation term lambda/alpha is 4.624778047390645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27488568029752103
the lambda is 2.0
the regulation term lambda/alpha is 7.275751861047512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32054197093215725
the lambda is 2.0
the regulation term lambda/alpha is 6.239432527927209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2951686880254489
the lambda is 2.0
the regulation term lambda/alpha is 6.775786460884915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2810949243485109
the lambda is 2.0
the regulation term lambda/alpha is 7.11503419933806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31147210644808515
the lambda is 2.0
the regulation term lambda/alpha is 6.421120731507146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2780619537246676
the lambda is 2.0
the regulation term lambda/alpha is 7.192641687256385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24598350949189163
the lambda is 2.0
the regulation term lambda/alpha is 8.130626333981652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.49150079970926236
the lambda is 2.0
the regulation term lambda/alpha is 4.069169371002165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2958023564970057
the lambda is 2.0
the regulation term lambda/alpha is 6.761271355930679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34959453057401346
the lambda is 2.0
the regulation term lambda/alpha is 5.720913301235345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3717887891627702
the lambda is 2.0
the regulation term lambda/alpha is 5.379398352768497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24242380694718263
the lambda is 2.0
the regulation term lambda/alpha is 8.250014819855313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2774917490245472
the lambda is 2.0
the regulation term lambda/alpha is 7.207421507235798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31494502246948797
the lambda is 2.0
the regulation term lambda/alpha is 6.350314681330647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3344758529094548
the lambda is 2.0
the regulation term lambda/alpha is 5.9795048958030925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34108816116893337
the lambda is 2.0
the regulation term lambda/alpha is 5.863586684292582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33356810419953054
the lambda is 2.0
the regulation term lambda/alpha is 5.9957770986510734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2661659198309197
the lambda is 2.0
the regulation term lambda/alpha is 7.514110000523313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2690883326835903
the lambda is 2.0
the regulation term lambda/alpha is 7.432503594838935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25487877251760327
the lambda is 2.0
the regulation term lambda/alpha is 7.846867670636908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31262311923824637
the lambda is 2.0
the regulation term lambda/alpha is 6.397479511026898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3558523391218881
the lambda is 2.0
the regulation term lambda/alpha is 5.620308707075694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.314250289333581
the lambda is 2.0
the regulation term lambda/alpha is 6.36435372658312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36986427633626556
the lambda is 2.0
the regulation term lambda/alpha is 5.407388947673555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43268658165821683
the lambda is 2.0
the regulation term lambda/alpha is 4.6222833912141486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2903376040591452
the lambda is 2.0
the regulation term lambda/alpha is 6.888532425832708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25917798835723727
the lambda is 2.0
the regulation term lambda/alpha is 7.716704696555116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3342168499131881
the lambda is 2.0
the regulation term lambda/alpha is 5.984138742614247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3487500844893929
the lambda is 2.0
the regulation term lambda/alpha is 5.734765635765257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28792402779892917
the lambda is 2.0
the regulation term lambda/alpha is 6.946276819233349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37524975123057713
the lambda is 2.0
the regulation term lambda/alpha is 5.329783679912619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32256252301147476
the lambda is 2.0
the regulation term lambda/alpha is 6.200348327288017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3557710178568708
the lambda is 2.0
the regulation term lambda/alpha is 5.62159338342904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3514048115692795
the lambda is 2.0
the regulation term lambda/alpha is 5.691441705275853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2826622897430081
the lambda is 2.0
the regulation term lambda/alpha is 7.075581259241786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3151737951079148
the lambda is 2.0
the regulation term lambda/alpha is 6.345705230078549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33070614779010127
the lambda is 2.0
the regulation term lambda/alpha is 6.047665014287539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3229635010475848
the lambda is 2.0
the regulation term lambda/alpha is 6.1926502329602995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31136402456626094
the lambda is 2.0
the regulation term lambda/alpha is 6.42334965571587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36150969111414843
the lambda is 2.0
the regulation term lambda/alpha is 5.532355146098947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3141944929897399
the lambda is 2.0
the regulation term lambda/alpha is 6.365483942665127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3270493285916562
the lambda is 2.0
the regulation term lambda/alpha is 6.115285448260739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24948554732376024
the lambda is 2.0
the regulation term lambda/alpha is 8.016496432174394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28194452959567806
the lambda is 2.0
the regulation term lambda/alpha is 7.093593916747013
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.34801220809422917
the lambda is 2.0
the regulation term lambda/alpha is 5.746924830460178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2762518664665593
the lambda is 2.0
the regulation term lambda/alpha is 7.23977008945242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34542038460554614
the lambda is 2.0
the regulation term lambda/alpha is 5.790046242591925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3177557583425509
the lambda is 2.0
the regulation term lambda/alpha is 6.294142426976684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2565545622043943
the lambda is 2.0
the regulation term lambda/alpha is 7.7956126868896645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33644828247741787
the lambda is 2.0
the regulation term lambda/alpha is 5.944450021480607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3940267184727294
the lambda is 2.0
the regulation term lambda/alpha is 5.0757979249532035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24630521543550546
the lambda is 2.0
the regulation term lambda/alpha is 8.120006701700136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2980373794055576
the lambda is 2.0
the regulation term lambda/alpha is 6.710567660972748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3313345828293885
the lambda is 2.0
the regulation term lambda/alpha is 6.03619454064004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2866274609623176
the lambda is 2.0
the regulation term lambda/alpha is 6.977698484594734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30116193488799686
the lambda is 2.0
the regulation term lambda/alpha is 6.640945512399522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3546676391687365
the lambda is 2.0
the regulation term lambda/alpha is 5.639082281900777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33814542747448667
the lambda is 2.0
the regulation term lambda/alpha is 5.914614948182026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3379346152968915
the lambda is 2.0
the regulation term lambda/alpha is 5.91830463488597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3378664084324391
the lambda is 2.0
the regulation term lambda/alpha is 5.919499394092404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22230393191748188
the lambda is 2.0
the regulation term lambda/alpha is 8.996691973682184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3508214930860692
the lambda is 2.0
the regulation term lambda/alpha is 5.700904988478935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2737467419474332
the lambda is 2.0
the regulation term lambda/alpha is 7.30602302614456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29512863130419387
the lambda is 2.0
the regulation term lambda/alpha is 6.776706113405065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2835330771003609
the lambda is 2.0
the regulation term lambda/alpha is 7.053850719830015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2757628597052219
the lambda is 2.0
the regulation term lambda/alpha is 7.252608281397683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3071226681240245
the lambda is 2.0
the regulation term lambda/alpha is 6.512055955415005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3570053562778413
the lambda is 2.0
the regulation term lambda/alpha is 5.602156843953595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.319542155572433
the lambda is 2.0
the regulation term lambda/alpha is 6.25895508658996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28321649943221083
the lambda is 2.0
the regulation term lambda/alpha is 7.061735470954471
250
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30496778569353306
the lambda is 2.0
the regulation term lambda/alpha is 6.5580697169432565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33464031757999346
the lambda is 2.0
the regulation term lambda/alpha is 5.9765661665137335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32829147775284406
the lambda is 2.0
the regulation term lambda/alpha is 6.092147178751044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31320355130092203
the lambda is 2.0
the regulation term lambda/alpha is 6.3856236357882965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3076560453913536
the lambda is 2.0
the regulation term lambda/alpha is 6.500766131398139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29749308830943216
the lambda is 2.0
the regulation term lambda/alpha is 6.722845264625898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.367627066970056
the lambda is 2.0
the regulation term lambda/alpha is 5.440295831544156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3237761565885364
the lambda is 2.0
the regulation term lambda/alpha is 6.177107113361823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2897565724190525
the lambda is 2.0
the regulation term lambda/alpha is 6.902345590655162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3612302601854531
the lambda is 2.0
the regulation term lambda/alpha is 5.536634718733734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29574947317946004
the lambda is 2.0
the regulation term lambda/alpha is 6.762480346960432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31701807235856494
the lambda is 2.0
the regulation term lambda/alpha is 6.308788597193568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2768173444010963
the lambda is 2.0
the regulation term lambda/alpha is 7.224980805762254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24328253901308422
the lambda is 2.0
the regulation term lambda/alpha is 8.220894142725287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3714659502430291
the lambda is 2.0
the regulation term lambda/alpha is 5.384073556920933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3139877866959432
the lambda is 2.0
the regulation term lambda/alpha is 6.369674505641657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3833110624636146
the lambda is 2.0
the regulation term lambda/alpha is 5.217694441547321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39765170293983526
the lambda is 2.0
the regulation term lambda/alpha is 5.02952705901677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3332851671539326
the lambda is 2.0
the regulation term lambda/alpha is 6.000867116526284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23752814613274767
the lambda is 2.0
the regulation term lambda/alpha is 8.420054770613405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2579497365581613
the lambda is 2.0
the regulation term lambda/alpha is 7.753448507783412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.407134585586563
the lambda is 2.0
the regulation term lambda/alpha is 4.91238050218352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3363013817843412
the lambda is 2.0
the regulation term lambda/alpha is 5.947046632364219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2953499136115465
the lambda is 2.0
the regulation term lambda/alpha is 6.771628864027578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30306281846224625
the lambda is 2.0
the regulation term lambda/alpha is 6.5992918898731485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2730256067574754
the lambda is 2.0
the regulation term lambda/alpha is 7.325320228210574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.24673700848145927
the lambda is 2.0
the regulation term lambda/alpha is 8.105796581992228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.33518102661337046
the lambda is 2.0
the regulation term lambda/alpha is 5.9669248591060295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43165209792904713
the lambda is 2.0
the regulation term lambda/alpha is 4.6333610090057995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31702873982101926
the lambda is 2.0
the regulation term lambda/alpha is 6.308576317494476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2693371707794343
the lambda is 2.0
the regulation term lambda/alpha is 7.425636774204629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36916941281786475
the lambda is 2.0
the regulation term lambda/alpha is 5.417566923364612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33284865509882733
the lambda is 2.0
the regulation term lambda/alpha is 6.008736911994349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2687314149224144
the lambda is 2.0
the regulation term lambda/alpha is 7.442375133467075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3809213540656617
the lambda is 2.0
the regulation term lambda/alpha is 5.250427624110692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29831056123056116
the lambda is 2.0
the regulation term lambda/alpha is 6.704422370263387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3196533649691769
the lambda is 2.0
the regulation term lambda/alpha is 6.256777557129277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.372924208536421
the lambda is 2.0
the regulation term lambda/alpha is 5.363020029858624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3340665212491676
the lambda is 2.0
the regulation term lambda/alpha is 5.986831582289192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3381028502106138
the lambda is 2.0
the regulation term lambda/alpha is 5.915359775151684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2920603882193895
the lambda is 2.0
the regulation term lambda/alpha is 6.847898861579417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26817936530662745
the lambda is 2.0
the regulation term lambda/alpha is 7.457695329069281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32968996859614413
the lambda is 2.0
the regulation term lambda/alpha is 6.06630528831744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.305310727869789
the lambda is 2.0
the regulation term lambda/alpha is 6.550703324296464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3304572968187531
the lambda is 2.0
the regulation term lambda/alpha is 6.052219210329455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29067942977169037
the lambda is 2.0
the regulation term lambda/alpha is 6.880431826809585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3274821330487392
the lambda is 2.0
the regulation term lambda/alpha is 6.107203411009723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.305250144336554
the lambda is 2.0
the regulation term lambda/alpha is 6.552003453911219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28424249998308265
the lambda is 2.0
the regulation term lambda/alpha is 7.036245459841631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2548093768681007
the lambda is 2.0
the regulation term lambda/alpha is 7.84900471317929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2620128737431656
the lambda is 2.0
the regulation term lambda/alpha is 7.6332127174807125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30453525508679774
the lambda is 2.0
the regulation term lambda/alpha is 6.567384125788543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27858647523564106
the lambda is 2.0
the regulation term lambda/alpha is 7.179099410006567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3036143750986847
the lambda is 2.0
the regulation term lambda/alpha is 6.587303382291876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3269361686189262
the lambda is 2.0
the regulation term lambda/alpha is 6.117402086311171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25230726200247044
the lambda is 2.0
the regulation term lambda/alpha is 7.9268427873487735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25418705930836555
the lambda is 2.0
the regulation term lambda/alpha is 7.868221165317907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3060673316206542
the lambda is 2.0
the regulation term lambda/alpha is 6.534509872091932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.31275996649412974
the lambda is 2.0
the regulation term lambda/alpha is 6.394680311610593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3099580028243936
the lambda is 2.0
the regulation term lambda/alpha is 6.452487052360761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25453249764857816
the lambda is 2.0
the regulation term lambda/alpha is 7.857542822533067
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3838630909443991
the lambda is 2.0
the regulation term lambda/alpha is 5.2101909435457845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2917296139779809
the lambda is 2.0
the regulation term lambda/alpha is 6.855663272330506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3051112919440269
the lambda is 2.0
the regulation term lambda/alpha is 6.554985190016837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30893549575835844
the lambda is 2.0
the regulation term lambda/alpha is 6.473843334481543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3369817525887609
the lambda is 2.0
the regulation term lambda/alpha is 5.935039463221975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36337585430219477
the lambda is 2.0
the regulation term lambda/alpha is 5.503943028467536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3440191406906562
the lambda is 2.0
the regulation term lambda/alpha is 5.813630009030255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2744667578542749
the lambda is 2.0
the regulation term lambda/alpha is 7.286856942660714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3164334295552927
the lambda is 2.0
the regulation term lambda/alpha is 6.3204447229572045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.25380368876875314
the lambda is 2.0
the regulation term lambda/alpha is 7.880106115487745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2921071133130045
the lambda is 2.0
the regulation term lambda/alpha is 6.8468034801224436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3096923411431937
the lambda is 2.0
the regulation term lambda/alpha is 6.458022153913234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3211420572111198
the lambda is 2.0
the regulation term lambda/alpha is 6.2277735198202135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37113727279500763
the lambda is 2.0
the regulation term lambda/alpha is 5.388841667499862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3728580199820035
the lambda is 2.0
the regulation term lambda/alpha is 5.363972055895519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30864923247924864
the lambda is 2.0
the regulation term lambda/alpha is 6.479847637834206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3108015534085227
the lambda is 2.0
the regulation term lambda/alpha is 6.434974272381345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30237224402719487
the lambda is 2.0
the regulation term lambda/alpha is 6.614363717260117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3140858314040405
the lambda is 2.0
the regulation term lambda/alpha is 6.367686154639675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36479499317557523
the lambda is 2.0
the regulation term lambda/alpha is 5.482531387258934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23128762846158554
the lambda is 2.0
the regulation term lambda/alpha is 8.647241589630372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3012287105312044
the lambda is 2.0
the regulation term lambda/alpha is 6.639473363853938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2656960303171988
the lambda is 2.0
the regulation term lambda/alpha is 7.5273988761229065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3001278824085343
the lambda is 2.0
the regulation term lambda/alpha is 6.663826046250507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37946830665631376
the lambda is 2.0
the regulation term lambda/alpha is 5.270532386809867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27906093392038767
the lambda is 2.0
the regulation term lambda/alpha is 7.166893523586404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36314561285636454
the lambda is 2.0
the regulation term lambda/alpha is 5.507432636370751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29796854000059647
the lambda is 2.0
the regulation term lambda/alpha is 6.71211799741005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3418897110923077
the lambda is 2.0
the regulation term lambda/alpha is 5.84983968546516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37997342050280064
the lambda is 2.0
the regulation term lambda/alpha is 5.2635260575687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29592749986928374
the lambda is 2.0
the regulation term lambda/alpha is 6.7584121140598095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2600363066614439
the lambda is 2.0
the regulation term lambda/alpha is 7.691233680702572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.21927411218985043
the lambda is 2.0
the regulation term lambda/alpha is 9.121003751999568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35218568896700997
the lambda is 2.0
the regulation term lambda/alpha is 5.678822458306489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2804727071107291
the lambda is 2.0
the regulation term lambda/alpha is 7.130818611917241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3748207135128646
the lambda is 2.0
the regulation term lambda/alpha is 5.33588440525541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3395302795021203
the lambda is 2.0
the regulation term lambda/alpha is 5.890490836142084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3236220257046117
the lambda is 2.0
the regulation term lambda/alpha is 6.180049073129263
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30175430672148357
the lambda is 2.0
the regulation term lambda/alpha is 6.627908717292912
260
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31196898354620084
the lambda is 2.0
the regulation term lambda/alpha is 6.410893728170292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32331197991639743
the lambda is 2.0
the regulation term lambda/alpha is 6.185975541386259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3467847332078549
the lambda is 2.0
the regulation term lambda/alpha is 5.767266573414134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2567445080373689
the lambda is 2.0
the regulation term lambda/alpha is 7.789845302976849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3952829852914522
the lambda is 2.0
the regulation term lambda/alpha is 5.059666300904272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29522796138982516
the lambda is 2.0
the regulation term lambda/alpha is 6.774426075987966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30890537135904217
the lambda is 2.0
the regulation term lambda/alpha is 6.4744746625832885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30374780101091653
the lambda is 2.0
the regulation term lambda/alpha is 6.584409807556503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29144626673416846
the lambda is 2.0
the regulation term lambda/alpha is 6.862328423044181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2436167637307046
the lambda is 2.0
the regulation term lambda/alpha is 8.209615665902252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3629174274539687
the lambda is 2.0
the regulation term lambda/alpha is 5.510895450876835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38862818196624066
the lambda is 2.0
the regulation term lambda/alpha is 5.1463071717576465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2710462098771133
the lambda is 2.0
the regulation term lambda/alpha is 7.378815593498829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2875751558244455
the lambda is 2.0
the regulation term lambda/alpha is 6.954703699164227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32571690256447244
the lambda is 2.0
the regulation term lambda/alpha is 6.140301544848811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37709958043289643
the lambda is 2.0
the regulation term lambda/alpha is 5.303638889505191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3092206351321993
the lambda is 2.0
the regulation term lambda/alpha is 6.467873656442597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2681023965870896
the lambda is 2.0
the regulation term lambda/alpha is 7.459836336637617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.28296695998213933
the lambda is 2.0
the regulation term lambda/alpha is 7.067962988068425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3733652200118059
the lambda is 2.0
the regulation term lambda/alpha is 5.356685338652485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37051507682003476
the lambda is 2.0
the regulation term lambda/alpha is 5.397891003964281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30195559230610386
the lambda is 2.0
the regulation term lambda/alpha is 6.623490509732053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31427267676700343
the lambda is 2.0
the regulation term lambda/alpha is 6.363900357404494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2900573919912081
the lambda is 2.0
the regulation term lambda/alpha is 6.895187143034858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2720433565522116
the lambda is 2.0
the regulation term lambda/alpha is 7.351769311139757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33628410111621126
the lambda is 2.0
the regulation term lambda/alpha is 5.947352233904304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29759165572565227
the lambda is 2.0
the regulation term lambda/alpha is 6.720618543968136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3078397102425249
the lambda is 2.0
the regulation term lambda/alpha is 6.496887612141862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29988122205487416
the lambda is 2.0
the regulation term lambda/alpha is 6.66930722202415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3635619380893742
the lambda is 2.0
the regulation term lambda/alpha is 5.501125916839901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2938269760904847
the lambda is 2.0
the regulation term lambda/alpha is 6.806726960917623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.350354099556441
the lambda is 2.0
the regulation term lambda/alpha is 5.708510340058989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34616980535719705
the lambda is 2.0
the regulation term lambda/alpha is 5.77751140928161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39953945165974236
the lambda is 2.0
the regulation term lambda/alpha is 5.005763490167798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2951684398315661
the lambda is 2.0
the regulation term lambda/alpha is 6.775792158339398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3417868146411998
the lambda is 2.0
the regulation term lambda/alpha is 5.851600805898716
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27875527897078445
the lambda is 2.0
the regulation term lambda/alpha is 7.174752016838449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2732674960053987
the lambda is 2.0
the regulation term lambda/alpha is 7.318836046130008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35706421750976974
the lambda is 2.0
the regulation term lambda/alpha is 5.601233341017369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29051484539529004
the lambda is 2.0
the regulation term lambda/alpha is 6.884329774193443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4092084721612449
the lambda is 2.0
the regulation term lambda/alpha is 4.887484341262412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2671017136956004
the lambda is 2.0
the regulation term lambda/alpha is 7.487784231438061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.303069521953803
the lambda is 2.0
the regulation term lambda/alpha is 6.599145922382987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2916541778693519
the lambda is 2.0
the regulation term lambda/alpha is 6.857436483889187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3181174766331394
the lambda is 2.0
the regulation term lambda/alpha is 6.286985616657733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3429947415039891
the lambda is 2.0
the regulation term lambda/alpha is 5.83099318441516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29954950648104905
the lambda is 2.0
the regulation term lambda/alpha is 6.676692689281829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30144561327483116
the lambda is 2.0
the regulation term lambda/alpha is 6.634695984700161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27651870760079844
the lambda is 2.0
the regulation term lambda/alpha is 7.2327836960938585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32429244403945046
the lambda is 2.0
the regulation term lambda/alpha is 6.167272894451708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2946788159916585
the lambda is 2.0
the regulation term lambda/alpha is 6.787050481622045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.37594662927874767
the lambda is 2.0
the regulation term lambda/alpha is 5.31990406148073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.271878151005155
the lambda is 2.0
the regulation term lambda/alpha is 7.356236581004549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28294635982137634
the lambda is 2.0
the regulation term lambda/alpha is 7.0684775773846225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3673175103572225
the lambda is 2.0
the regulation term lambda/alpha is 5.44488063761231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2726687661317124
the lambda is 2.0
the regulation term lambda/alpha is 7.334906848237622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.22594207874150432
the lambda is 2.0
the regulation term lambda/alpha is 8.85182614562097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31294640543676056
the lambda is 2.0
the regulation term lambda/alpha is 6.39087065789658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34068770414189503
the lambda is 2.0
the regulation term lambda/alpha is 5.870478962654338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2694172469790918
the lambda is 2.0
the regulation term lambda/alpha is 7.423429726290724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2923410667654027
the lambda is 2.0
the regulation term lambda/alpha is 6.841324149661656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2728705930499806
the lambda is 2.0
the regulation term lambda/alpha is 7.329481633199177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3613734017895117
the lambda is 2.0
the regulation term lambda/alpha is 5.534441633213878
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30851076054446297
the lambda is 2.0
the regulation term lambda/alpha is 6.482756051913325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3020730167950177
the lambda is 2.0
the regulation term lambda/alpha is 6.620915768048129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31809906516442504
the lambda is 2.0
the regulation term lambda/alpha is 6.287349505306475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26887891466978914
the lambda is 2.0
the regulation term lambda/alpha is 7.438292446457562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29359838161595203
the lambda is 2.0
the regulation term lambda/alpha is 6.812026650120112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3128732637899257
the lambda is 2.0
the regulation term lambda/alpha is 6.392364677548388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29110353104319947
the lambda is 2.0
the regulation term lambda/alpha is 6.870407902071109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2592195019193372
the lambda is 2.0
the regulation term lambda/alpha is 7.715468879430034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41327562518662186
the lambda is 2.0
the regulation term lambda/alpha is 4.839385335384502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2515217460666422
the lambda is 2.0
the regulation term lambda/alpha is 7.9515987435539195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3092315013226348
the lambda is 2.0
the regulation term lambda/alpha is 6.467646379640062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23697074037100432
the lambda is 2.0
the regulation term lambda/alpha is 8.439860536658557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3242796635186813
the lambda is 2.0
the regulation term lambda/alpha is 6.16751595921396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31595615010601924
the lambda is 2.0
the regulation term lambda/alpha is 6.3299923085178085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2529421808157051
the lambda is 2.0
the regulation term lambda/alpha is 7.906945348341129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30305823108283614
the lambda is 2.0
the regulation term lambda/alpha is 6.599391783070666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.43983908531469496
the lambda is 2.0
the regulation term lambda/alpha is 4.547117495410952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27502949477530086
the lambda is 2.0
the regulation term lambda/alpha is 7.271947329263722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31539246434169416
the lambda is 2.0
the regulation term lambda/alpha is 6.341305598960706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33362184967533587
the lambda is 2.0
the regulation term lambda/alpha is 5.994811197007331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27707111476981305
the lambda is 2.0
the regulation term lambda/alpha is 7.2183634214687915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33446311804509227
the lambda is 2.0
the regulation term lambda/alpha is 5.979732568690459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29176192859773287
the lambda is 2.0
the regulation term lambda/alpha is 6.854903960953393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33226733050232127
the lambda is 2.0
the regulation term lambda/alpha is 6.0192496113788945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4068538828844036
the lambda is 2.0
the regulation term lambda/alpha is 4.915769725044618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3574675368153176
the lambda is 2.0
the regulation term lambda/alpha is 5.594913646755235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3492412071994786
the lambda is 2.0
the regulation term lambda/alpha is 5.726701084438886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28565085720756284
the lambda is 2.0
the regulation term lambda/alpha is 7.0015543434786105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2627738781560731
the lambda is 2.0
the regulation term lambda/alpha is 7.611106606312332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2757413445943938
the lambda is 2.0
the regulation term lambda/alpha is 7.253174176480253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3199021949366438
the lambda is 2.0
the regulation term lambda/alpha is 6.251910839174133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3447965484487028
the lambda is 2.0
the regulation term lambda/alpha is 5.800522102086966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39807588535818234
the lambda is 2.0
the regulation term lambda/alpha is 5.024167686521458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37077379481204104
the lambda is 2.0
the regulation term lambda/alpha is 5.394124471536275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38553813931805814
the lambda is 2.0
the regulation term lambda/alpha is 5.187554215875012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3284200739472071
the lambda is 2.0
the regulation term lambda/alpha is 6.089761737041372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.306116432401563
the lambda is 2.0
the regulation term lambda/alpha is 6.533461743002426
270
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.29279820806111984
the lambda is 2.0
the regulation term lambda/alpha is 6.830642896497892
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3518232861450044
the lambda is 2.0
the regulation term lambda/alpha is 5.684672046340041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3710180766951909
the lambda is 2.0
the regulation term lambda/alpha is 5.390572927914496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3134282053867299
the lambda is 2.0
the regulation term lambda/alpha is 6.3810466500047704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.35828543792981454
the lambda is 2.0
the regulation term lambda/alpha is 5.582141466748044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3011362376805446
the lambda is 2.0
the regulation term lambda/alpha is 6.641512211896819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3574004118282029
the lambda is 2.0
the regulation term lambda/alpha is 5.595964452781241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2720590057096562
the lambda is 2.0
the regulation term lambda/alpha is 7.351346428628862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30670406756193475
the lambda is 2.0
the regulation term lambda/alpha is 6.5209438397686945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3389347331936624
the lambda is 2.0
the regulation term lambda/alpha is 5.900841088650625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33679198708008884
the lambda is 2.0
the regulation term lambda/alpha is 5.938383562327455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3627574376038824
the lambda is 2.0
the regulation term lambda/alpha is 5.5133259657212745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2801581689435496
the lambda is 2.0
the regulation term lambda/alpha is 7.13882449882441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.294315876584571
the lambda is 2.0
the regulation term lambda/alpha is 6.795420020181292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27314616580923373
the lambda is 2.0
the regulation term lambda/alpha is 7.32208703744649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3930930267298598
the lambda is 2.0
the regulation term lambda/alpha is 5.087854182095257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4014547077847868
the lambda is 2.0
the regulation term lambda/alpha is 4.981882043521001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3545892997968793
the lambda is 2.0
the regulation term lambda/alpha is 5.640328123679049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.334664029915662
the lambda is 2.0
the regulation term lambda/alpha is 5.976142701992849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24079094091714195
the lambda is 2.0
the regulation term lambda/alpha is 8.305960317204026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26943669293835865
the lambda is 2.0
the regulation term lambda/alpha is 7.4228939577192525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3949459052991866
the lambda is 2.0
the regulation term lambda/alpha is 5.063984644896935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.251170029471197
the lambda is 2.0
the regulation term lambda/alpha is 7.962733468681424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2923644870851856
the lambda is 2.0
the regulation term lambda/alpha is 6.840776114567103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28215217466975046
the lambda is 2.0
the regulation term lambda/alpha is 7.088373507455444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3584598885511829
the lambda is 2.0
the regulation term lambda/alpha is 5.579424822351997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3381376838678671
the lambda is 2.0
the regulation term lambda/alpha is 5.914750397301276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32326903456162526
the lambda is 2.0
the regulation term lambda/alpha is 6.186797330316947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2987501364746775
the lambda is 2.0
the regulation term lambda/alpha is 6.694557611254925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2746819430908709
the lambda is 2.0
the regulation term lambda/alpha is 7.281148434785739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2730514817779487
the lambda is 2.0
the regulation term lambda/alpha is 7.324626063104256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31152309297426395
the lambda is 2.0
the regulation term lambda/alpha is 6.420069796126566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2695494475722035
the lambda is 2.0
the regulation term lambda/alpha is 7.419788903348671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3601387784252577
the lambda is 2.0
the regulation term lambda/alpha is 5.553414738466091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3364125585783896
the lambda is 2.0
the regulation term lambda/alpha is 5.945081267035897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27776271931369373
the lambda is 2.0
the regulation term lambda/alpha is 7.200390336549386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3747474527097235
the lambda is 2.0
the regulation term lambda/alpha is 5.33692753756804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046174971970381
the lambda is 2.0
the regulation term lambda/alpha is 6.565611031549919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3448373375490674
the lambda is 2.0
the regulation term lambda/alpha is 5.7998359870627905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37981231538382626
the lambda is 2.0
the regulation term lambda/alpha is 5.26575868920644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28482260531722686
the lambda is 2.0
the regulation term lambda/alpha is 7.021914562478144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26235328052721985
the lambda is 2.0
the regulation term lambda/alpha is 7.623308524981431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27924574250681616
the lambda is 2.0
the regulation term lambda/alpha is 7.16215037710443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2833029008480811
the lambda is 2.0
the regulation term lambda/alpha is 7.059581790419026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3237817634225551
the lambda is 2.0
the regulation term lambda/alpha is 6.177000146206126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44814605557310566
the lambda is 2.0
the regulation term lambda/alpha is 4.462830756018429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36569207269957416
the lambda is 2.0
the regulation term lambda/alpha is 5.469082185008297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3703491142008283
the lambda is 2.0
the regulation term lambda/alpha is 5.400309932739478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3176208752279211
the lambda is 2.0
the regulation term lambda/alpha is 6.296815341764999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34391464702764557
the lambda is 2.0
the regulation term lambda/alpha is 5.815396399325877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28060215432986724
the lambda is 2.0
the regulation term lambda/alpha is 7.127529026911396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27788950200612683
the lambda is 2.0
the regulation term lambda/alpha is 7.197105272281587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35860682486340884
the lambda is 2.0
the regulation term lambda/alpha is 5.577138697128221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3744978131235128
the lambda is 2.0
the regulation term lambda/alpha is 5.340485124115749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3473052966192801
the lambda is 2.0
the regulation term lambda/alpha is 5.75862222508061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38257941386666877
the lambda is 2.0
the regulation term lambda/alpha is 5.227672811211457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3860892854609797
the lambda is 2.0
the regulation term lambda/alpha is 5.180148932680316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.312926138848381
the lambda is 2.0
the regulation term lambda/alpha is 6.391284561143805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.347342400449167
the lambda is 2.0
the regulation term lambda/alpha is 5.758007077205931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3391286934976133
the lambda is 2.0
the regulation term lambda/alpha is 5.897466178319928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988760604581313
the lambda is 2.0
the regulation term lambda/alpha is 6.691737026158287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3457814101651172
the lambda is 2.0
the regulation term lambda/alpha is 5.784000935865702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32842575075050906
the lambda is 2.0
the regulation term lambda/alpha is 6.089656476173557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28047166191585227
the lambda is 2.0
the regulation term lambda/alpha is 7.130845185350827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3042451419518049
the lambda is 2.0
the regulation term lambda/alpha is 6.573646458804649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3961078410170152
the lambda is 2.0
the regulation term lambda/alpha is 5.049130042124282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2989743213999977
the lambda is 2.0
the regulation term lambda/alpha is 6.689537718940753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3654604830595989
the lambda is 2.0
the regulation term lambda/alpha is 5.472547902460476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34378124167030033
the lambda is 2.0
the regulation term lambda/alpha is 5.817653081601463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3495032881817371
the lambda is 2.0
the regulation term lambda/alpha is 5.722406820275826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25334665961057595
the lambda is 2.0
the regulation term lambda/alpha is 7.8943215713767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3207757096084211
the lambda is 2.0
the regulation term lambda/alpha is 6.234886059301216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3277699583852481
the lambda is 2.0
the regulation term lambda/alpha is 6.101840479380596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31864114406389227
the lambda is 2.0
the regulation term lambda/alpha is 6.2766533363907655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30663174058618314
the lambda is 2.0
the regulation term lambda/alpha is 6.522481971946645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2728370436921584
the lambda is 2.0
the regulation term lambda/alpha is 7.3303829015850095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3912337992821023
the lambda is 2.0
the regulation term lambda/alpha is 5.112032763196627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.32850709007041756
the lambda is 2.0
the regulation term lambda/alpha is 6.0881486593524885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28719603371533325
the lambda is 2.0
the regulation term lambda/alpha is 6.963884473357269
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30154818377807435
the lambda is 2.0
the regulation term lambda/alpha is 6.632439217315626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3243362615119254
the lambda is 2.0
the regulation term lambda/alpha is 6.166439702661686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29441152336954296
the lambda is 2.0
the regulation term lambda/alpha is 6.793212361764849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35708670743600174
the lambda is 2.0
the regulation term lambda/alpha is 5.6008805658453324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2795319951902117
the lambda is 2.0
the regulation term lambda/alpha is 7.154816029696601
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29726438147521766
the lambda is 2.0
the regulation term lambda/alpha is 6.7280176322326595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3945078614247129
the lambda is 2.0
the regulation term lambda/alpha is 5.069607466825286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.314347906908691
the lambda is 2.0
the regulation term lambda/alpha is 6.36237734066078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2980717410215569
the lambda is 2.0
the regulation term lambda/alpha is 6.709794068855919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25970517285763584
the lambda is 2.0
the regulation term lambda/alpha is 7.701040291162595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3422098076774149
the lambda is 2.0
the regulation term lambda/alpha is 5.844367856006354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3457895732470219
the lambda is 2.0
the regulation term lambda/alpha is 5.783864392496469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3025939792755118
the lambda is 2.0
the regulation term lambda/alpha is 6.609516834368341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3024476562283068
the lambda is 2.0
the regulation term lambda/alpha is 6.612714493942953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3064944493283334
the lambda is 2.0
the regulation term lambda/alpha is 6.525403655377432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2967715812493623
the lambda is 2.0
the regulation term lambda/alpha is 6.7391897552329985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30374550889050683
the lambda is 2.0
the regulation term lambda/alpha is 6.584459494744179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29721047796654654
the lambda is 2.0
the regulation term lambda/alpha is 6.7292378575735015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3702229782627699
the lambda is 2.0
the regulation term lambda/alpha is 5.402149832473331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27712163854792315
the lambda is 2.0
the regulation term lambda/alpha is 7.217047396514063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41890370832565016
the lambda is 2.0
the regulation term lambda/alpha is 4.774366901629877
280
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2732220054054879
the lambda is 2.0
the regulation term lambda/alpha is 7.320054609187888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3317013746314842
the lambda is 2.0
the regulation term lambda/alpha is 6.029519781827776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3045686156458497
the lambda is 2.0
the regulation term lambda/alpha is 6.566664775222889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3336771364590095
the lambda is 2.0
the regulation term lambda/alpha is 5.993817919993118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30166442716938735
the lambda is 2.0
the regulation term lambda/alpha is 6.6298834727270695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2942472314968333
the lambda is 2.0
the regulation term lambda/alpha is 6.797005327207383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32686473314116055
the lambda is 2.0
the regulation term lambda/alpha is 6.118739029383985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29629430797504147
the lambda is 2.0
the regulation term lambda/alpha is 6.750045296747554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31560693742244933
the lambda is 2.0
the regulation term lambda/alpha is 6.3369963167917955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32548525548462315
the lambda is 2.0
the regulation term lambda/alpha is 6.144671582809949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39474525596108107
the lambda is 2.0
the regulation term lambda/alpha is 5.066558672454787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28863176828727716
the lambda is 2.0
the regulation term lambda/alpha is 6.929244178033051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3793908965857418
the lambda is 2.0
the regulation term lambda/alpha is 5.271607774458032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30584737016142244
the lambda is 2.0
the regulation term lambda/alpha is 6.53920940678491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3902724675773026
the lambda is 2.0
the regulation term lambda/alpha is 5.12462488685255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32074863925207364
the lambda is 2.0
the regulation term lambda/alpha is 6.235412267573852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25960575040544387
the lambda is 2.0
the regulation term lambda/alpha is 7.703989595286178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28666373289257546
the lambda is 2.0
the regulation term lambda/alpha is 6.976815587444684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.22299585596567262
the lambda is 2.0
the regulation term lambda/alpha is 8.968776533263805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3123691913040847
the lambda is 2.0
the regulation term lambda/alpha is 6.402680083942859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3019463443316312
the lambda is 2.0
the regulation term lambda/alpha is 6.623693373162275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31310327678502387
the lambda is 2.0
the regulation term lambda/alpha is 6.387668696847259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34013267625912114
the lambda is 2.0
the regulation term lambda/alpha is 5.8800583995533335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38551562742577106
the lambda is 2.0
the regulation term lambda/alpha is 5.187857139163805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3154262058455758
the lambda is 2.0
the regulation term lambda/alpha is 6.34062726221025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2764114991041869
the lambda is 2.0
the regulation term lambda/alpha is 7.235588991347088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.268343575777058
the lambda is 2.0
the regulation term lambda/alpha is 7.453131658577943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2838441829248498
the lambda is 2.0
the regulation term lambda/alpha is 7.046119386316672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24949163187750983
the lambda is 2.0
the regulation term lambda/alpha is 8.016300927407128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38653169993433195
the lambda is 2.0
the regulation term lambda/alpha is 5.174219864346911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3103729787465143
the lambda is 2.0
the regulation term lambda/alpha is 6.443859926457793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27030703054893507
the lambda is 2.0
the regulation term lambda/alpha is 7.398993640448171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3311521293585456
the lambda is 2.0
the regulation term lambda/alpha is 6.039520276901365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3101146677627046
the lambda is 2.0
the regulation term lambda/alpha is 6.4492273597660725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3234667876024002
the lambda is 2.0
the regulation term lambda/alpha is 6.183015000780746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42291885292042125
the lambda is 2.0
the regulation term lambda/alpha is 4.729039592794722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2792949639235333
the lambda is 2.0
the regulation term lambda/alpha is 7.160888158898452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2598733106353038
the lambda is 2.0
the regulation term lambda/alpha is 7.696057725630483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30321426978840244
the lambda is 2.0
the regulation term lambda/alpha is 6.595995635019739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4222383321753526
the lambda is 2.0
the regulation term lambda/alpha is 4.736661377227622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40314527562927727
the lambda is 2.0
the regulation term lambda/alpha is 4.96099079141672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41362279518444645
the lambda is 2.0
the regulation term lambda/alpha is 4.835323447558401
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35724210321722977
the lambda is 2.0
the regulation term lambda/alpha is 5.598444253878584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24176895921208608
the lambda is 2.0
the regulation term lambda/alpha is 8.272360548342963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2821477191217169
the lambda is 2.0
the regulation term lambda/alpha is 7.088485443815379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.329992189619624
the lambda is 2.0
the regulation term lambda/alpha is 6.060749505330303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.30359117579853623
the lambda is 2.0
the regulation term lambda/alpha is 6.5878067593348115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2757275058352836
the lambda is 2.0
the regulation term lambda/alpha is 7.253538213176224
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26895313029220197
the lambda is 2.0
the regulation term lambda/alpha is 7.436239904800945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39916488547095647
the lambda is 2.0
the regulation term lambda/alpha is 5.01046077146864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30312377804645957
the lambda is 2.0
the regulation term lambda/alpha is 6.597964741959179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3634570099350478
the lambda is 2.0
the regulation term lambda/alpha is 5.502714063370007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41019022621793916
the lambda is 2.0
the regulation term lambda/alpha is 4.875786579413463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28274292082915875
the lambda is 2.0
the regulation term lambda/alpha is 7.073563483516733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2467123017417783
the lambda is 2.0
the regulation term lambda/alpha is 8.106608328324471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35526742558919505
the lambda is 2.0
the regulation term lambda/alpha is 5.6295620029984175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3253108673766972
the lambda is 2.0
the regulation term lambda/alpha is 6.14796553256267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3315524485049056
the lambda is 2.0
the regulation term lambda/alpha is 6.032228110571194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38450340733133154
the lambda is 2.0
the regulation term lambda/alpha is 5.2015143737766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2936497068681287
the lambda is 2.0
the regulation term lambda/alpha is 6.810836017276032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.338837826750975
the lambda is 2.0
the regulation term lambda/alpha is 5.902528708726128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2876606675144622
the lambda is 2.0
the regulation term lambda/alpha is 6.952636303325861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27202584583556627
the lambda is 2.0
the regulation term lambda/alpha is 7.35224255569067
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3292326124635396
the lambda is 2.0
the regulation term lambda/alpha is 6.074732345118111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33023398924470193
the lambda is 2.0
the regulation term lambda/alpha is 6.056311782364743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2803113637350686
the lambda is 2.0
the regulation term lambda/alpha is 7.13492301328984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.410146253431637
the lambda is 2.0
the regulation term lambda/alpha is 4.876309324457499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23305339235708816
the lambda is 2.0
the regulation term lambda/alpha is 8.58172446996853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34396215096752536
the lambda is 2.0
the regulation term lambda/alpha is 5.814593246304088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34117021734061836
the lambda is 2.0
the regulation term lambda/alpha is 5.862176410326096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29751343728187307
the lambda is 2.0
the regulation term lambda/alpha is 6.722385443401471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2495541665820923
the lambda is 2.0
the regulation term lambda/alpha is 8.014292157057968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27497459909693245
the lambda is 2.0
the regulation term lambda/alpha is 7.273399094201322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4203638616211159
the lambda is 2.0
the regulation term lambda/alpha is 4.757782917606386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3788982983339326
the lambda is 2.0
the regulation term lambda/alpha is 5.278461288409772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.47458095288316404
the lambda is 2.0
the regulation term lambda/alpha is 4.21424414075121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34466566173204694
the lambda is 2.0
the regulation term lambda/alpha is 5.802724849204322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33694151598678845
the lambda is 2.0
the regulation term lambda/alpha is 5.935748208832837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32129170059530376
the lambda is 2.0
the regulation term lambda/alpha is 6.224872899904696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2712258783214874
the lambda is 2.0
the regulation term lambda/alpha is 7.373927636909982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26974969296405
the lambda is 2.0
the regulation term lambda/alpha is 7.414280913626632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.311472737502683
the lambda is 2.0
the regulation term lambda/alpha is 6.421107722093245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32453079823875536
the lambda is 2.0
the regulation term lambda/alpha is 6.1627432923287975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2673429115616788
the lambda is 2.0
the regulation term lambda/alpha is 7.481028721940059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988853539330958
the lambda is 2.0
the regulation term lambda/alpha is 6.691528954770034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3154925736432654
the lambda is 2.0
the regulation term lambda/alpha is 6.339293432185334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28566873907670093
the lambda is 2.0
the regulation term lambda/alpha is 7.001116070537238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3536548266673223
the lambda is 2.0
the regulation term lambda/alpha is 5.655231737813576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3281255365292315
the lambda is 2.0
the regulation term lambda/alpha is 6.095228128706854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30405668575957434
the lambda is 2.0
the regulation term lambda/alpha is 6.577720845057993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2972010648682075
the lambda is 2.0
the regulation term lambda/alpha is 6.729450989305476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3122120278312599
the lambda is 2.0
the regulation term lambda/alpha is 6.405903109796054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3199480935742651
the lambda is 2.0
the regulation term lambda/alpha is 6.2510139618499325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3264322193343459
the lambda is 2.0
the regulation term lambda/alpha is 6.126846192077363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30547845664075596
the lambda is 2.0
the regulation term lambda/alpha is 6.547106535738489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3604614965340684
the lambda is 2.0
the regulation term lambda/alpha is 5.548442813533549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2960056755039123
the lambda is 2.0
the regulation term lambda/alpha is 6.7566272051887255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26267793258889416
the lambda is 2.0
the regulation term lambda/alpha is 7.613886634055832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26896584171221505
the lambda is 2.0
the regulation term lambda/alpha is 7.435888465494949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.337121746884735
the lambda is 2.0
the regulation term lambda/alpha is 5.93257485902806
290
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3284588079966404
the lambda is 2.0
the regulation term lambda/alpha is 6.089043591793272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.3061979749225405
the lambda is 2.0
the regulation term lambda/alpha is 6.531721839460055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.329320120806028
the lambda is 2.0
the regulation term lambda/alpha is 6.073118141414793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30144761063870235
the lambda is 2.0
the regulation term lambda/alpha is 6.634652023820763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31786715188459863
the lambda is 2.0
the regulation term lambda/alpha is 6.2919367041930085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31979773270279405
the lambda is 2.0
the regulation term lambda/alpha is 6.253953031801861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33625540382022057
the lambda is 2.0
the regulation term lambda/alpha is 5.947859803226547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29615675306259565
the lambda is 2.0
the regulation term lambda/alpha is 6.753180467160512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2511202681071212
the lambda is 2.0
the regulation term lambda/alpha is 7.964311344024424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26375344347694624
the lambda is 2.0
the regulation term lambda/alpha is 7.582839388312339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2878936331066914
the lambda is 2.0
the regulation term lambda/alpha is 6.947010180175862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4179744591350312
the lambda is 2.0
the regulation term lambda/alpha is 4.7849813697680466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28154765838178814
the lambda is 2.0
the regulation term lambda/alpha is 7.103593087916691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31772618473180064
the lambda is 2.0
the regulation term lambda/alpha is 6.294728278968389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26522529925797017
the lambda is 2.0
the regulation term lambda/alpha is 7.540758764701059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39525707699341256
the lambda is 2.0
the regulation term lambda/alpha is 5.05999795174656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34093928896626374
the lambda is 2.0
the regulation term lambda/alpha is 5.866147037685357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.282653626943188
the lambda is 2.0
the regulation term lambda/alpha is 7.0757981124437865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3290831618902212
the lambda is 2.0
the regulation term lambda/alpha is 6.077491137839437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3260707186269966
the lambda is 2.0
the regulation term lambda/alpha is 6.13363876530069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32924452603545357
the lambda is 2.0
the regulation term lambda/alpha is 6.074512533534534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3662936293665526
the lambda is 2.0
the regulation term lambda/alpha is 5.460100421234971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33237387284532544
the lambda is 2.0
the regulation term lambda/alpha is 6.017320142762022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34554376723086394
the lambda is 2.0
the regulation term lambda/alpha is 5.78797880230253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3317857153743604
the lambda is 2.0
the regulation term lambda/alpha is 6.027987063105957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34052770325078724
the lambda is 2.0
the regulation term lambda/alpha is 5.8732372752858435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30772089067235475
the lambda is 2.0
the regulation term lambda/alpha is 6.499396240632542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2865370060333943
the lambda is 2.0
the regulation term lambda/alpha is 6.979901227023049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4059241699764053
the lambda is 2.0
the regulation term lambda/alpha is 4.92702861255158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2697133675988772
the lambda is 2.0
the regulation term lambda/alpha is 7.415279479118875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3979945522604217
the lambda is 2.0
the regulation term lambda/alpha is 5.025194411935896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27894964140533535
the lambda is 2.0
the regulation term lambda/alpha is 7.169752898494842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.317442100681092
the lambda is 2.0
the regulation term lambda/alpha is 6.300361532729509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30284599637329646
the lambda is 2.0
the regulation term lambda/alpha is 6.604016641959315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3568079903263491
the lambda is 2.0
the regulation term lambda/alpha is 5.6052556395128095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3842027646013408
the lambda is 2.0
the regulation term lambda/alpha is 5.205584613830809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35022261751232936
the lambda is 2.0
the regulation term lambda/alpha is 5.710653452955794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25301220658272033
the lambda is 2.0
the regulation term lambda/alpha is 7.904756956246361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3593199784370898
the lambda is 2.0
the regulation term lambda/alpha is 5.566069575923017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30613425600144145
the lambda is 2.0
the regulation term lambda/alpha is 6.533081354967942
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26606813662310624
the lambda is 2.0
the regulation term lambda/alpha is 7.516871525405772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2564805902441021
the lambda is 2.0
the regulation term lambda/alpha is 7.79786103149765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988229289415688
the lambda is 2.0
the regulation term lambda/alpha is 6.6929268349119075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33879663578873837
the lambda is 2.0
the regulation term lambda/alpha is 5.903246339338297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3129442074411394
the lambda is 2.0
the regulation term lambda/alpha is 6.390915544829738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3152498073759411
the lambda is 2.0
the regulation term lambda/alpha is 6.344175169042891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3044530197009374
the lambda is 2.0
the regulation term lambda/alpha is 6.569158032870193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.304443551610228
the lambda is 2.0
the regulation term lambda/alpha is 6.569362331446433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34648300559244877
the lambda is 2.0
the regulation term lambda/alpha is 5.7722888791622395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4019741087145413
the lambda is 2.0
the regulation term lambda/alpha is 4.975444827518192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4337762411744373
the lambda is 2.0
the regulation term lambda/alpha is 4.610672070432107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.46323370660066837
the lambda is 2.0
the regulation term lambda/alpha is 4.317475113537246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2974050985139671
the lambda is 2.0
the regulation term lambda/alpha is 6.724834274843722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30337904914385316
the lambda is 2.0
the regulation term lambda/alpha is 6.592413041190793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32339218949042164
the lambda is 2.0
the regulation term lambda/alpha is 6.1844412604752685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36065510645242066
the lambda is 2.0
the regulation term lambda/alpha is 5.5454642516308015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2862774258488029
the lambda is 2.0
the regulation term lambda/alpha is 6.986230206835441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2783206987130967
the lambda is 2.0
the regulation term lambda/alpha is 7.185954940640883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28283578588069985
the lambda is 2.0
the regulation term lambda/alpha is 7.071240980954228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3579025789265291
the lambda is 2.0
the regulation term lambda/alpha is 5.588112849029131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24621619608247944
the lambda is 2.0
the regulation term lambda/alpha is 8.122942486407451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.320131242993446
the lambda is 2.0
the regulation term lambda/alpha is 6.247437711166935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30990035151812095
the lambda is 2.0
the regulation term lambda/alpha is 6.453687419851323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32615547181841387
the lambda is 2.0
the regulation term lambda/alpha is 6.13204490744676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3316389952954339
the lambda is 2.0
the regulation term lambda/alpha is 6.030653898882852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32343653234975445
the lambda is 2.0
the regulation term lambda/alpha is 6.183593379109261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2862910050430929
the lambda is 2.0
the regulation term lambda/alpha is 6.985898839884814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3731262513947155
the lambda is 2.0
the regulation term lambda/alpha is 5.360116026476731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.363066300969174
the lambda is 2.0
the regulation term lambda/alpha is 5.508635735845418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3921053702366994
the lambda is 2.0
the regulation term lambda/alpha is 5.100669748013588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3723996696780615
the lambda is 2.0
the regulation term lambda/alpha is 5.370574044088156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3775380399759265
the lambda is 2.0
the regulation term lambda/alpha is 5.297479427841308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28958268654588715
the lambda is 2.0
the regulation term lambda/alpha is 6.906490245863096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2868759537519732
the lambda is 2.0
the regulation term lambda/alpha is 6.97165438177212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3370052215306439
the lambda is 2.0
the regulation term lambda/alpha is 5.93462614886559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3411154812315377
the lambda is 2.0
the regulation term lambda/alpha is 5.8631170675084885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24949539474932858
the lambda is 2.0
the regulation term lambda/alpha is 8.016180026126042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3246529710280211
the lambda is 2.0
the regulation term lambda/alpha is 6.160424140481308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3486932874351903
the lambda is 2.0
the regulation term lambda/alpha is 5.735699745501207
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27081304459881106
the lambda is 2.0
the regulation term lambda/alpha is 7.38516862421767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3619809872391798
the lambda is 2.0
the regulation term lambda/alpha is 5.525152067388818
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3352815691677714
the lambda is 2.0
the regulation term lambda/alpha is 5.9651355276234135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3274428981054832
the lambda is 2.0
the regulation term lambda/alpha is 6.107935189834887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30050808611197327
the lambda is 2.0
the regulation term lambda/alpha is 6.65539495418028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2965049700858036
the lambda is 2.0
the regulation term lambda/alpha is 6.745249495889507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.298943959428055
the lambda is 2.0
the regulation term lambda/alpha is 6.69021713576831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35950702678146895
the lambda is 2.0
the regulation term lambda/alpha is 5.56317359887301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30500523107738453
the lambda is 2.0
the regulation term lambda/alpha is 6.557264585054179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38223048014694866
the lambda is 2.0
the regulation term lambda/alpha is 5.232445092372275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2729445231647306
the lambda is 2.0
the regulation term lambda/alpha is 7.327496360104419
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3536972060588393
the lambda is 2.0
the regulation term lambda/alpha is 5.654554137663417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2997095714230835
the lambda is 2.0
the regulation term lambda/alpha is 6.673126889153333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.448161565983532
the lambda is 2.0
the regulation term lambda/alpha is 4.4626763020403475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.23991985841269248
the lambda is 2.0
the regulation term lambda/alpha is 8.336116956853765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3535654222259746
the lambda is 2.0
the regulation term lambda/alpha is 5.656661749920042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2809485784399891
the lambda is 2.0
the regulation term lambda/alpha is 7.118740415435852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24620466460475404
the lambda is 2.0
the regulation term lambda/alpha is 8.123322940329789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3237662678063752
the lambda is 2.0
the regulation term lambda/alpha is 6.177295780535351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25782651163977705
the lambda is 2.0
the regulation term lambda/alpha is 7.757154170376028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4149357710565987
the lambda is 2.0
the regulation term lambda/alpha is 4.820023096363011
300
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3134952130159339
the lambda is 2.0
the regulation term lambda/alpha is 6.379682741434226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.331400645832333
the lambda is 2.0
the regulation term lambda/alpha is 6.034991256510311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32105969870381873
the lambda is 2.0
the regulation term lambda/alpha is 6.2293710735866075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3296905720885711
the lambda is 2.0
the regulation term lambda/alpha is 6.066294184059051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24976407630884798
the lambda is 2.0
the regulation term lambda/alpha is 8.00755668932502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32521601868133687
the lambda is 2.0
the regulation term lambda/alpha is 6.1497585761902505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3222992853691533
the lambda is 2.0
the regulation term lambda/alpha is 6.205412456032136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3582339771608096
the lambda is 2.0
the regulation term lambda/alpha is 5.582943348509371
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28862711873276214
the lambda is 2.0
the regulation term lambda/alpha is 6.9293558026741975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34992159345047774
the lambda is 2.0
the regulation term lambda/alpha is 5.7155661080488525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2813606559026319
the lambda is 2.0
the regulation term lambda/alpha is 7.108314393083172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3737736109633156
the lambda is 2.0
the regulation term lambda/alpha is 5.350832539636652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3123125431284383
the lambda is 2.0
the regulation term lambda/alpha is 6.403841421052056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3636654147393371
the lambda is 2.0
the regulation term lambda/alpha is 5.499560637168457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3066239601107806
the lambda is 2.0
the regulation term lambda/alpha is 6.522647477638138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3579382778778095
the lambda is 2.0
the regulation term lambda/alpha is 5.58755551895108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35837621326515745
the lambda is 2.0
the regulation term lambda/alpha is 5.5807275314900116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3696282887907196
the lambda is 2.0
the regulation term lambda/alpha is 5.410841271222028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32208982627514127
the lambda is 2.0
the regulation term lambda/alpha is 6.2094479143576695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2849202293438938
the lambda is 2.0
the regulation term lambda/alpha is 7.019508599321091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28312398534158656
the lambda is 2.0
the regulation term lambda/alpha is 7.064042976037576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35436045014689227
the lambda is 2.0
the regulation term lambda/alpha is 5.643970706016837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3027617851296392
the lambda is 2.0
the regulation term lambda/alpha is 6.605853506721869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32957887395550667
the lambda is 2.0
the regulation term lambda/alpha is 6.068350122071238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2872829381476485
the lambda is 2.0
the regulation term lambda/alpha is 6.961777865736336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2611690263319337
the lambda is 2.0
the regulation term lambda/alpha is 7.657875928434534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34927462434297624
the lambda is 2.0
the regulation term lambda/alpha is 5.726153177495269
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31933008333359014
the lambda is 2.0
the regulation term lambda/alpha is 6.2631117592221575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26260167305820187
the lambda is 2.0
the regulation term lambda/alpha is 7.616097706874582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32496372528059236
the lambda is 2.0
the regulation term lambda/alpha is 6.154533089110439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3159827964017491
the lambda is 2.0
the regulation term lambda/alpha is 6.329458510953697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33816446888641677
the lambda is 2.0
the regulation term lambda/alpha is 5.914281907221197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27659657126357995
the lambda is 2.0
the regulation term lambda/alpha is 7.230747622298325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3090162149498226
the lambda is 2.0
the regulation term lambda/alpha is 6.4721522795325015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3304783103453529
the lambda is 2.0
the regulation term lambda/alpha is 6.051834378812883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2731363887133002
the lambda is 2.0
the regulation term lambda/alpha is 7.3223491363478335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3407360779537168
the lambda is 2.0
the regulation term lambda/alpha is 5.869645539183749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2929538990479599
the lambda is 2.0
the regulation term lambda/alpha is 6.82701273647352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3539215140053328
the lambda is 2.0
the regulation term lambda/alpha is 5.650970401222528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3674736762851504
the lambda is 2.0
the regulation term lambda/alpha is 5.442566717209018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3368442177646341
the lambda is 2.0
the regulation term lambda/alpha is 5.937462763269033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3627626137029386
the lambda is 2.0
the regulation term lambda/alpha is 5.5132472985150915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26462022417471487
the lambda is 2.0
the regulation term lambda/alpha is 7.558001306353307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2692584743802404
the lambda is 2.0
the regulation term lambda/alpha is 7.427807071266576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32743514562701087
the lambda is 2.0
the regulation term lambda/alpha is 6.108079803620859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30929864770289
the lambda is 2.0
the regulation term lambda/alpha is 6.466242302879983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3001332505439603
the lambda is 2.0
the regulation term lambda/alpha is 6.663706858121212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3074842528803524
the lambda is 2.0
the regulation term lambda/alpha is 6.504398131823145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3396106133775795
the lambda is 2.0
the regulation term lambda/alpha is 5.8890974581421505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2780336132512555
the lambda is 2.0
the regulation term lambda/alpha is 7.193374846345018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38040906644487776
the lambda is 2.0
the regulation term lambda/alpha is 5.257498247060852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43953662218940504
the lambda is 2.0
the regulation term lambda/alpha is 4.550246552921273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124086778339544
the lambda is 2.0
the regulation term lambda/alpha is 6.401870824673451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32726335109878957
the lambda is 2.0
the regulation term lambda/alpha is 6.11128619591831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32547189541886745
the lambda is 2.0
the regulation term lambda/alpha is 6.144923811090022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33225934269082147
the lambda is 2.0
the regulation term lambda/alpha is 6.019394319518255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2898681205882535
the lambda is 2.0
the regulation term lambda/alpha is 6.899689403378452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2654519788832439
the lambda is 2.0
the regulation term lambda/alpha is 7.534319421591797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3019384951584246
the lambda is 2.0
the regulation term lambda/alpha is 6.623865562258357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30742077886748537
the lambda is 2.0
the regulation term lambda/alpha is 6.505741112776589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3424884458630397
the lambda is 2.0
the regulation term lambda/alpha is 5.839613056026407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32627366245030687
the lambda is 2.0
the regulation term lambda/alpha is 6.129823611811174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3418999429765137
the lambda is 2.0
the regulation term lambda/alpha is 5.849664619971542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2865967473003075
the lambda is 2.0
the regulation term lambda/alpha is 6.978446262351751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3643766955144473
the lambda is 2.0
the regulation term lambda/alpha is 5.488825231197316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2747876499768469
the lambda is 2.0
the regulation term lambda/alpha is 7.278347480931243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38148268350360254
the lambda is 2.0
the regulation term lambda/alpha is 5.24270192720586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.397140150891335
the lambda is 2.0
the regulation term lambda/alpha is 5.036005539886189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.27407437852882566
the lambda is 2.0
the regulation term lambda/alpha is 7.297289191115144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31604395304260097
the lambda is 2.0
the regulation term lambda/alpha is 6.328233717955082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3039257721127098
the lambda is 2.0
the regulation term lambda/alpha is 6.580554146814199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31161762331342774
the lambda is 2.0
the regulation term lambda/alpha is 6.418122244608683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31643313774174486
the lambda is 2.0
the regulation term lambda/alpha is 6.320450551649521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27387314584058203
the lambda is 2.0
the regulation term lambda/alpha is 7.302650991434457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29609685841508665
the lambda is 2.0
the regulation term lambda/alpha is 6.754546504496437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31280913944871225
the lambda is 2.0
the regulation term lambda/alpha is 6.393675080992693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3092994631235601
the lambda is 2.0
the regulation term lambda/alpha is 6.466225255622357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3783248572513816
the lambda is 2.0
the regulation term lambda/alpha is 5.286462048860513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30234256540695764
the lambda is 2.0
the regulation term lambda/alpha is 6.615012997948106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30236311901646823
the lambda is 2.0
the regulation term lambda/alpha is 6.61456333201494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2622584464503687
the lambda is 2.0
the regulation term lambda/alpha is 7.626065154696519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4359333767336019
the lambda is 2.0
the regulation term lambda/alpha is 4.587857013807402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30018377657326367
the lambda is 2.0
the regulation term lambda/alpha is 6.6625852430498504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3207004819771331
the lambda is 2.0
the regulation term lambda/alpha is 6.236348594395334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34955464136589254
the lambda is 2.0
the regulation term lambda/alpha is 5.721566139659755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36658705594368235
the lambda is 2.0
the regulation term lambda/alpha is 5.455730003481776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4032033999073985
the lambda is 2.0
the regulation term lambda/alpha is 4.960275633735551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33645585679566825
the lambda is 2.0
the regulation term lambda/alpha is 5.944316199597656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35556046586545553
the lambda is 2.0
the regulation term lambda/alpha is 5.624922318435712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32438985179554924
the lambda is 2.0
the regulation term lambda/alpha is 6.1654209862906715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.262139540318582
the lambda is 2.0
the regulation term lambda/alpha is 7.629524327270014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2874616223967581
the lambda is 2.0
the regulation term lambda/alpha is 6.9574504705173315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3004600097984153
the lambda is 2.0
the regulation term lambda/alpha is 6.656459877445389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28945401954630423
the lambda is 2.0
the regulation term lambda/alpha is 6.909560292632447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3332523436816035
the lambda is 2.0
the regulation term lambda/alpha is 6.001458168020697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3341334539002502
the lambda is 2.0
the regulation term lambda/alpha is 5.985632317430465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35902525910409133
the lambda is 2.0
the regulation term lambda/alpha is 5.570638692639018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3478214132024228
the lambda is 2.0
the regulation term lambda/alpha is 5.750077264035648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2876660529382811
the lambda is 2.0
the regulation term lambda/alpha is 6.952506142353546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36312465197122695
the lambda is 2.0
the regulation term lambda/alpha is 5.507750545557768
310
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31433186797470314
the lambda is 2.0
the regulation term lambda/alpha is 6.362701984009322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36705486645944296
the lambda is 2.0
the regulation term lambda/alpha is 5.4487766891410665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3837809053073845
the lambda is 2.0
the regulation term lambda/alpha is 5.211306691764993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.349261575478661
the lambda is 2.0
the regulation term lambda/alpha is 5.726367113986162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32836770349546224
the lambda is 2.0
the regulation term lambda/alpha is 6.090732976203423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.293432739110318
the lambda is 2.0
the regulation term lambda/alpha is 6.81587203276621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3080585030114458
the lambda is 2.0
the regulation term lambda/alpha is 6.492273319674253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33460455636791636
the lambda is 2.0
the regulation term lambda/alpha is 5.977204918276392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24335560928410455
the lambda is 2.0
the regulation term lambda/alpha is 8.218425726382613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3229265237741079
the lambda is 2.0
the regulation term lambda/alpha is 6.193359333341819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3380998024960165
the lambda is 2.0
the regulation term lambda/alpha is 5.915413097656465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2666694238649157
the lambda is 2.0
the regulation term lambda/alpha is 7.499922454601026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3496890517418146
the lambda is 2.0
the regulation term lambda/alpha is 5.719366934818014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28483553316682314
the lambda is 2.0
the regulation term lambda/alpha is 7.0215958583672755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35604536738959225
the lambda is 2.0
the regulation term lambda/alpha is 5.6172616839908445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31120313135590727
the lambda is 2.0
the regulation term lambda/alpha is 6.4266705520797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3412518062255852
the lambda is 2.0
the regulation term lambda/alpha is 5.860774839907795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2568684706486764
the lambda is 2.0
the regulation term lambda/alpha is 7.786085987701604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2742145194763079
the lambda is 2.0
the regulation term lambda/alpha is 7.2935598152117525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32521149960267665
the lambda is 2.0
the regulation term lambda/alpha is 6.1498440320944265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30710799370904013
the lambda is 2.0
the regulation term lambda/alpha is 6.512367118307046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2892519205109435
the lambda is 2.0
the regulation term lambda/alpha is 6.914387971796828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3217154447713795
the lambda is 2.0
the regulation term lambda/alpha is 6.216673872842068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31434211230527037
the lambda is 2.0
the regulation term lambda/alpha is 6.362494625148154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24489035459179292
the lambda is 2.0
the regulation term lambda/alpha is 8.166920266556822
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32688151737752585
the lambda is 2.0
the regulation term lambda/alpha is 6.118424853278372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2847833907940662
the lambda is 2.0
the regulation term lambda/alpha is 7.022881476420963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2784557510423224
the lambda is 2.0
the regulation term lambda/alpha is 7.18246971920512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37089283151511876
the lambda is 2.0
the regulation term lambda/alpha is 5.392393246938432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36398862416412936
the lambda is 2.0
the regulation term lambda/alpha is 5.4946772157861785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28755532623038077
the lambda is 2.0
the regulation term lambda/alpha is 6.955183290180686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38362329869380357
the lambda is 2.0
the regulation term lambda/alpha is 5.213447688943259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3419497983940386
the lambda is 2.0
the regulation term lambda/alpha is 5.848811753634498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28568698729204484
the lambda is 2.0
the regulation term lambda/alpha is 7.000668875252238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3270435971945308
the lambda is 2.0
the regulation term lambda/alpha is 6.115392617854456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38861328249127364
the lambda is 2.0
the regulation term lambda/alpha is 5.14650448172705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33799852889513704
the lambda is 2.0
the regulation term lambda/alpha is 5.917185517160915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3029449150815734
the lambda is 2.0
the regulation term lambda/alpha is 6.601860273711687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38700004384152525
the lambda is 2.0
the regulation term lambda/alpha is 5.167958070875544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3101056488358119
the lambda is 2.0
the regulation term lambda/alpha is 6.449414925230586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3412396869380907
the lambda is 2.0
the regulation term lambda/alpha is 5.860982988074448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30100041049099513
the lambda is 2.0
the regulation term lambda/alpha is 6.644509210926252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3344701056104387
the lambda is 2.0
the regulation term lambda/alpha is 5.9796076434090155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3151459972554275
the lambda is 2.0
the regulation term lambda/alpha is 6.346264961058633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3049665936475577
the lambda is 2.0
the regulation term lambda/alpha is 6.558095350966048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3010975203247099
the lambda is 2.0
the regulation term lambda/alpha is 6.642366226872802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27259187794881073
the lambda is 2.0
the regulation term lambda/alpha is 7.336975756759614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3625958508611563
the lambda is 2.0
the regulation term lambda/alpha is 5.515782917123979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3321036253220068
the lambda is 2.0
the regulation term lambda/alpha is 6.022216704381968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3394179747791088
the lambda is 2.0
the regulation term lambda/alpha is 5.892439848837081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3352785819166181
the lambda is 2.0
the regulation term lambda/alpha is 5.965188675539641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34662430417210877
the lambda is 2.0
the regulation term lambda/alpha is 5.769935852527362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3182262448489377
the lambda is 2.0
the regulation term lambda/alpha is 6.28483675489871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24453087716546193
the lambda is 2.0
the regulation term lambda/alpha is 8.178926208352408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30151864847829796
the lambda is 2.0
the regulation term lambda/alpha is 6.633088898791451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2887502772849299
the lambda is 2.0
the regulation term lambda/alpha is 6.9264002750254035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34353119622911843
the lambda is 2.0
the regulation term lambda/alpha is 5.821887566409248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2773952160431786
the lambda is 2.0
the regulation term lambda/alpha is 7.209929675530832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32066250567508103
the lambda is 2.0
the regulation term lambda/alpha is 6.237087169856235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39120557404493067
the lambda is 2.0
the regulation term lambda/alpha is 5.112401593159039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4247902225176871
the lambda is 2.0
the regulation term lambda/alpha is 4.708206295677452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.26585913251842824
the lambda is 2.0
the regulation term lambda/alpha is 7.522780884201405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27224868003828284
the lambda is 2.0
the regulation term lambda/alpha is 7.346224781397528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988809661127396
the lambda is 2.0
the regulation term lambda/alpha is 6.691627191962397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27416610387938706
the lambda is 2.0
the regulation term lambda/alpha is 7.2948478010244955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31248665575222623
the lambda is 2.0
the regulation term lambda/alpha is 6.400273301864832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31859487401705977
the lambda is 2.0
the regulation term lambda/alpha is 6.277564904866945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27782896653892253
the lambda is 2.0
the regulation term lambda/alpha is 7.198673431770511
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37763761556851405
the lambda is 2.0
the regulation term lambda/alpha is 5.2960825869772075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31705467001585846
the lambda is 2.0
the regulation term lambda/alpha is 6.308060372994865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3331405014346364
the lambda is 2.0
the regulation term lambda/alpha is 6.003472983282426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3702292542852124
the lambda is 2.0
the regulation term lambda/alpha is 5.4020582567450655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3504207642241651
the lambda is 2.0
the regulation term lambda/alpha is 5.707424342926764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3331656131656273
the lambda is 2.0
the regulation term lambda/alpha is 6.003020482806357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26812148343643705
the lambda is 2.0
the regulation term lambda/alpha is 7.459305290894885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3168673172140596
the lambda is 2.0
the regulation term lambda/alpha is 6.311790113238157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35091488880176963
the lambda is 2.0
the regulation term lambda/alpha is 5.699387697196832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3515033455082154
the lambda is 2.0
the regulation term lambda/alpha is 5.689846271899155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3652625289493188
the lambda is 2.0
the regulation term lambda/alpha is 5.475513751035507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3310750935191657
the lambda is 2.0
the regulation term lambda/alpha is 6.040925575950102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2787103015795069
the lambda is 2.0
the regulation term lambda/alpha is 7.175909855737664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33224320615510955
the lambda is 2.0
the regulation term lambda/alpha is 6.019686672137064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3053410519454223
the lambda is 2.0
the regulation term lambda/alpha is 6.550052759880733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3525960307076831
the lambda is 2.0
the regulation term lambda/alpha is 5.67221359805404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.323126290647923
the lambda is 2.0
the regulation term lambda/alpha is 6.189530403080669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3451050230022901
the lambda is 2.0
the regulation term lambda/alpha is 5.795337264583158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3229119868208672
the lambda is 2.0
the regulation term lambda/alpha is 6.193638147937456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2684156033589765
the lambda is 2.0
the regulation term lambda/alpha is 7.4511316591577526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31566037727608115
the lambda is 2.0
the regulation term lambda/alpha is 6.335923492389325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2810083885284223
the lambda is 2.0
the regulation term lambda/alpha is 7.117225256062817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26281404341482517
the lambda is 2.0
the regulation term lambda/alpha is 7.609943418598845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3442994700887478
the lambda is 2.0
the regulation term lambda/alpha is 5.808896538482831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2498187251650795
the lambda is 2.0
the regulation term lambda/alpha is 8.005805003921967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24467320033842635
the lambda is 2.0
the regulation term lambda/alpha is 8.174168634871519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3113053345674869
the lambda is 2.0
the regulation term lambda/alpha is 6.424560641656549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3171681255900921
the lambda is 2.0
the regulation term lambda/alpha is 6.305803889590087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3742474910783897
the lambda is 2.0
the regulation term lambda/alpha is 5.344057201925452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124992883711972
the lambda is 2.0
the regulation term lambda/alpha is 6.4000145741910694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3273644544039982
the lambda is 2.0
the regulation term lambda/alpha is 6.109398785036734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36054305024328503
the lambda is 2.0
the regulation term lambda/alpha is 5.54718777313958
320
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3044202638841401
the lambda is 2.0
the regulation term lambda/alpha is 6.569864878512765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28040793175137013
the lambda is 2.0
the regulation term lambda/alpha is 7.132465859679547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28847025989303643
the lambda is 2.0
the regulation term lambda/alpha is 6.933123715219696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3142127320141507
the lambda is 2.0
the regulation term lambda/alpha is 6.365114447080805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33502070253874283
the lambda is 2.0
the regulation term lambda/alpha is 5.969780329526692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36371591270764075
the lambda is 2.0
the regulation term lambda/alpha is 5.4987970834468936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2899318347433238
the lambda is 2.0
the regulation term lambda/alpha is 6.898173157737566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34363739620530764
the lambda is 2.0
the regulation term lambda/alpha is 5.820088331728283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3702256792445025
the lambda is 2.0
the regulation term lambda/alpha is 5.402110421085001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3518391104028585
the lambda is 2.0
the regulation term lambda/alpha is 5.684416373466795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3153104511649007
the lambda is 2.0
the regulation term lambda/alpha is 6.342954991219249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3129708868861944
the lambda is 2.0
the regulation term lambda/alpha is 6.390370746296476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39215722301562195
the lambda is 2.0
the regulation term lambda/alpha is 5.099995314686141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2658600111178354
the lambda is 2.0
the regulation term lambda/alpha is 7.522756023332719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27827671422620653
the lambda is 2.0
the regulation term lambda/alpha is 7.187090754471943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3341501334588898
the lambda is 2.0
the regulation term lambda/alpha is 5.985333536447797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  5  iterations
the alpha is 0.2276501823818891
the lambda is 2.0
the regulation term lambda/alpha is 8.785409170658813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3336868081518744
the lambda is 2.0
the regulation term lambda/alpha is 5.993644193119312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.340894174433118
the lambda is 2.0
the regulation term lambda/alpha is 5.866923373876522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2540693899958674
the lambda is 2.0
the regulation term lambda/alpha is 7.871865241352101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.313413280772776
the lambda is 2.0
the regulation term lambda/alpha is 6.381350512871201
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988969573558158
the lambda is 2.0
the regulation term lambda/alpha is 6.691269184179553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3572604450564043
the lambda is 2.0
the regulation term lambda/alpha is 5.598156828372757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2712767639672108
the lambda is 2.0
the regulation term lambda/alpha is 7.372544447786689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3766190723953021
the lambda is 2.0
the regulation term lambda/alpha is 5.31040551738385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3397641839939751
the lambda is 2.0
the regulation term lambda/alpha is 5.886435634532523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3391594405342
the lambda is 2.0
the regulation term lambda/alpha is 5.8969315341771384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36705953287420967
the lambda is 2.0
the regulation term lambda/alpha is 5.448707419037104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44039648385690927
the lambda is 2.0
the regulation term lambda/alpha is 4.541362325340061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35328689681183195
the lambda is 2.0
the regulation term lambda/alpha is 5.661121366369957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2901693773923669
the lambda is 2.0
the regulation term lambda/alpha is 6.892526075539669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33780461468710393
the lambda is 2.0
the regulation term lambda/alpha is 5.920582233172057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3295963375599166
the lambda is 2.0
the regulation term lambda/alpha is 6.068028591599337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29934420588548694
the lambda is 2.0
the regulation term lambda/alpha is 6.681271795737022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35932560901636323
the lambda is 2.0
the regulation term lambda/alpha is 5.5659823564340565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2889777859025594
the lambda is 2.0
the regulation term lambda/alpha is 6.920947206213218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33871533455160985
the lambda is 2.0
the regulation term lambda/alpha is 5.904663285019537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2633025358242571
the lambda is 2.0
the regulation term lambda/alpha is 7.595825060093277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34581163994408826
the lambda is 2.0
the regulation term lambda/alpha is 5.78349531647739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31750045964947715
the lambda is 2.0
the regulation term lambda/alpha is 6.299203478974533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3191093164412122
the lambda is 2.0
the regulation term lambda/alpha is 6.26744471864534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41501092651112437
the lambda is 2.0
the regulation term lambda/alpha is 4.819150225304707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27276940807617855
the lambda is 2.0
the regulation term lambda/alpha is 7.33220053563134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30022533542765817
the lambda is 2.0
the regulation term lambda/alpha is 6.661662971084986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27060204313666714
the lambda is 2.0
the regulation term lambda/alpha is 7.390927196325355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2978257952771824
the lambda is 2.0
the regulation term lambda/alpha is 6.715335043892445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3309528151834918
the lambda is 2.0
the regulation term lambda/alpha is 6.043157538609032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32943808159315474
the lambda is 2.0
the regulation term lambda/alpha is 6.070943560404576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33200601774395155
the lambda is 2.0
the regulation term lambda/alpha is 6.023987196347846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3129573180549628
the lambda is 2.0
the regulation term lambda/alpha is 6.390647812391951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29011823716034657
the lambda is 2.0
the regulation term lambda/alpha is 6.893741047015298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.328974053728618
the lambda is 2.0
the regulation term lambda/alpha is 6.079506810132415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3015822846445069
the lambda is 2.0
the regulation term lambda/alpha is 6.63168926635568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37270434373100203
the lambda is 2.0
the regulation term lambda/alpha is 5.36618376909364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2947763261367125
the lambda is 2.0
the regulation term lambda/alpha is 6.7848053682317495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.304361810366623
the lambda is 2.0
the regulation term lambda/alpha is 6.5711266390184555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2953098176291929
the lambda is 2.0
the regulation term lambda/alpha is 6.7725482886292285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3099755635408552
the lambda is 2.0
the regulation term lambda/alpha is 6.452121506463193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2590063159385929
the lambda is 2.0
the regulation term lambda/alpha is 7.721819418775001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3442332095399121
the lambda is 2.0
the regulation term lambda/alpha is 5.810014677761967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2967596276821529
the lambda is 2.0
the regulation term lambda/alpha is 6.739461211826692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3331025619125268
the lambda is 2.0
the regulation term lambda/alpha is 6.004156763361078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3474647668223561
the lambda is 2.0
the regulation term lambda/alpha is 5.755979284721304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2966822866262951
the lambda is 2.0
the regulation term lambda/alpha is 6.741218098130767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36802272659647833
the lambda is 2.0
the regulation term lambda/alpha is 5.434446993250276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44036608645325415
the lambda is 2.0
the regulation term lambda/alpha is 4.541675804574711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.347512488188249
the lambda is 2.0
the regulation term lambda/alpha is 5.755188857893911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29761682274203344
the lambda is 2.0
the regulation term lambda/alpha is 6.720050236318625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32049087235821533
the lambda is 2.0
the regulation term lambda/alpha is 6.240427333495424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3605526626359463
the lambda is 2.0
the regulation term lambda/alpha is 5.547039884210813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3429601837521805
the lambda is 2.0
the regulation term lambda/alpha is 5.831580733713332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3442318217587309
the lambda is 2.0
the regulation term lambda/alpha is 5.810038101014911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31309391344239906
the lambda is 2.0
the regulation term lambda/alpha is 6.387859725570637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38989290591562464
the lambda is 2.0
the regulation term lambda/alpha is 5.129613721242758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2491514744752502
the lambda is 2.0
the regulation term lambda/alpha is 8.02724529008827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3130418114959502
the lambda is 2.0
the regulation term lambda/alpha is 6.388922905992939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3394889400678817
the lambda is 2.0
the regulation term lambda/alpha is 5.891208118886273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2601309493608983
the lambda is 2.0
the regulation term lambda/alpha is 7.688435401145815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3769945560778896
the lambda is 2.0
the regulation term lambda/alpha is 5.305116394271716
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2634207381325416
the lambda is 2.0
the regulation term lambda/alpha is 7.592416657012361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29322006690153435
the lambda is 2.0
the regulation term lambda/alpha is 6.8208155776446775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32825547852139647
the lambda is 2.0
the regulation term lambda/alpha is 6.092815294382468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28118889950561393
the lambda is 2.0
the regulation term lambda/alpha is 7.112656308682165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29868935887857856
the lambda is 2.0
the regulation term lambda/alpha is 6.695919826233342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3227566095665134
the lambda is 2.0
the regulation term lambda/alpha is 6.196619807991389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39125575017301245
the lambda is 2.0
the regulation term lambda/alpha is 5.111745959300546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30723172081335953
the lambda is 2.0
the regulation term lambda/alpha is 6.509744484408176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36125489832147006
the lambda is 2.0
the regulation term lambda/alpha is 5.536257111786645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33217753204492617
the lambda is 2.0
the regulation term lambda/alpha is 6.020876811528316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3022424174737099
the lambda is 2.0
the regulation term lambda/alpha is 6.61720488049619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33246548558544836
the lambda is 2.0
the regulation term lambda/alpha is 6.015662036250592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.336188921471749
the lambda is 2.0
the regulation term lambda/alpha is 5.949036010004471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.21832534956811378
the lambda is 2.0
the regulation term lambda/alpha is 9.160640319396508
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.279756370661213
the lambda is 2.0
the regulation term lambda/alpha is 7.1490775894501954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32577069133751047
the lambda is 2.0
the regulation term lambda/alpha is 6.139287705068367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33195180185731316
the lambda is 2.0
the regulation term lambda/alpha is 6.02497106149068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3259152509517495
the lambda is 2.0
the regulation term lambda/alpha is 6.136564625802345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3331422328934397
the lambda is 2.0
the regulation term lambda/alpha is 6.00344178109573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27718337040387236
the lambda is 2.0
the regulation term lambda/alpha is 7.215440078839806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3609208669783083
the lambda is 2.0
the regulation term lambda/alpha is 5.541380903643352
330
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31695571121415267
the lambda is 2.0
the regulation term lambda/alpha is 6.310029853504329
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3217716979070808
the lambda is 2.0
the regulation term lambda/alpha is 6.2155870544510945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28258094182785215
the lambda is 2.0
the regulation term lambda/alpha is 7.077618140357097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32537219101547343
the lambda is 2.0
the regulation term lambda/alpha is 6.146806811479743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29492275944642665
the lambda is 2.0
the regulation term lambda/alpha is 6.781436616672184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.381993894967821
the lambda is 2.0
the regulation term lambda/alpha is 5.235685769712312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3145041146839289
the lambda is 2.0
the regulation term lambda/alpha is 6.359217277681612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3237695382718513
the lambda is 2.0
the regulation term lambda/alpha is 6.177233382347141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2727673452584719
the lambda is 2.0
the regulation term lambda/alpha is 7.332255985791913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32673722753251383
the lambda is 2.0
the regulation term lambda/alpha is 6.121126799978673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40185560694321
the lambda is 2.0
the regulation term lambda/alpha is 4.9769120187556295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3411495874517946
the lambda is 2.0
the regulation term lambda/alpha is 5.862530905984477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3285395092962522
the lambda is 2.0
the regulation term lambda/alpha is 6.087547900354811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28835452472836504
the lambda is 2.0
the regulation term lambda/alpha is 6.935906422429246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.356266452180939
the lambda is 2.0
the regulation term lambda/alpha is 5.613775834790779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2756568311282307
the lambda is 2.0
the regulation term lambda/alpha is 7.255397922896513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25317427579040674
the lambda is 2.0
the regulation term lambda/alpha is 7.899696735602487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3500616237537511
the lambda is 2.0
the regulation term lambda/alpha is 5.713279789294724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25583542167943807
the lambda is 2.0
the regulation term lambda/alpha is 7.8175257627382075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26539102608594844
the lambda is 2.0
the regulation term lambda/alpha is 7.536049841234226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37078556171496807
the lambda is 2.0
the regulation term lambda/alpha is 5.393953288659738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40235197129507627
the lambda is 2.0
the regulation term lambda/alpha is 4.970772216083522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3877067223413285
the lambda is 2.0
the regulation term lambda/alpha is 5.158538360960488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2596340013092167
the lambda is 2.0
the regulation term lambda/alpha is 7.703151320377553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3472404879784288
the lambda is 2.0
the regulation term lambda/alpha is 5.759697008962398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3190807222156372
the lambda is 2.0
the regulation term lambda/alpha is 6.268006371906055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3214141884993072
the lambda is 2.0
the regulation term lambda/alpha is 6.222500659781268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3826549609143293
the lambda is 2.0
the regulation term lambda/alpha is 5.226640718889752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2801574853097452
the lambda is 2.0
the regulation term lambda/alpha is 7.138841918818546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3017754345204564
the lambda is 2.0
the regulation term lambda/alpha is 6.627444686404473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41133404672839363
the lambda is 2.0
the regulation term lambda/alpha is 4.862228196054513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2972032651981554
the lambda is 2.0
the regulation term lambda/alpha is 6.729401168141719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3622715576032356
the lambda is 2.0
the regulation term lambda/alpha is 5.520720459623897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3515715910671774
the lambda is 2.0
the regulation term lambda/alpha is 5.688741783513006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26669040360802176
the lambda is 2.0
the regulation term lambda/alpha is 7.4993324579446625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31170039818414025
the lambda is 2.0
the regulation term lambda/alpha is 6.416417853975532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2974507132393338
the lambda is 2.0
the regulation term lambda/alpha is 6.723803006620349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3544231673600623
the lambda is 2.0
the regulation term lambda/alpha is 5.642971973014897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37393109057362633
the lambda is 2.0
the regulation term lambda/alpha is 5.348579057526119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28086406603248804
the lambda is 2.0
the regulation term lambda/alpha is 7.120882454819466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3608331590365004
the lambda is 2.0
the regulation term lambda/alpha is 5.542727850567881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33457577185268383
the lambda is 2.0
the regulation term lambda/alpha is 5.977719154394165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.275038883463297
the lambda is 2.0
the regulation term lambda/alpha is 7.2716990951095575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3037525663417275
the lambda is 2.0
the regulation term lambda/alpha is 6.584306510022903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32607996042479165
the lambda is 2.0
the regulation term lambda/alpha is 6.1334649249667335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3256703609085416
the lambda is 2.0
the regulation term lambda/alpha is 6.141179057315757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25499080735230806
the lambda is 2.0
the regulation term lambda/alpha is 7.8434200070463715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34969991449263266
the lambda is 2.0
the regulation term lambda/alpha is 5.719189273756986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28462014831351745
the lambda is 2.0
the regulation term lambda/alpha is 7.026909415411242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3369674263635237
the lambda is 2.0
the regulation term lambda/alpha is 5.93529179239533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25467526191360806
the lambda is 2.0
the regulation term lambda/alpha is 7.8531380903357935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30060589548240985
the lambda is 2.0
the regulation term lambda/alpha is 6.653229461086971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3720968594667209
the lambda is 2.0
the regulation term lambda/alpha is 5.374944585305949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24218568509033525
the lambda is 2.0
the regulation term lambda/alpha is 8.25812640104637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3255528374046351
the lambda is 2.0
the regulation term lambda/alpha is 6.143396002763651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2615629233785485
the lambda is 2.0
the regulation term lambda/alpha is 7.646343656686725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29093734805392163
the lambda is 2.0
the regulation term lambda/alpha is 6.874332269053765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30818131375074354
the lambda is 2.0
the regulation term lambda/alpha is 6.489686138522974
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2866954792072164
the lambda is 2.0
the regulation term lambda/alpha is 6.976043031897443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40513666620570243
the lambda is 2.0
the regulation term lambda/alpha is 4.9366057600536415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3442744296426344
the lambda is 2.0
the regulation term lambda/alpha is 5.809319042590676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37745107487169555
the lambda is 2.0
the regulation term lambda/alpha is 5.298699972386744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2909223855160053
the lambda is 2.0
the regulation term lambda/alpha is 6.874685825405376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3268843275245813
the lambda is 2.0
the regulation term lambda/alpha is 6.118372254630661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27419744745010843
the lambda is 2.0
the regulation term lambda/alpha is 7.294013925362707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2515399713573935
the lambda is 2.0
the regulation term lambda/alpha is 7.951022611664197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2923374039214166
the lambda is 2.0
the regulation term lambda/alpha is 6.841409868090712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27358922458184814
the lambda is 2.0
the regulation term lambda/alpha is 7.310229425361273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3152809853774649
the lambda is 2.0
the regulation term lambda/alpha is 6.343547796279352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4242494951370965
the lambda is 2.0
the regulation term lambda/alpha is 4.71420714208204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39081643793463744
the lambda is 2.0
the regulation term lambda/alpha is 5.117492013819778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2968929996548472
the lambda is 2.0
the regulation term lambda/alpha is 6.736433672485033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2615485922082157
the lambda is 2.0
the regulation term lambda/alpha is 7.646762626838473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35319578991431366
the lambda is 2.0
the regulation term lambda/alpha is 5.662581653323801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2990801025097782
the lambda is 2.0
the regulation term lambda/alpha is 6.687171708236965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32521194468970804
the lambda is 2.0
the regulation term lambda/alpha is 6.149835615380747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34340697998760844
the lambda is 2.0
the regulation term lambda/alpha is 5.823993443791295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2497983528742365
the lambda is 2.0
the regulation term lambda/alpha is 8.006457916905962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3352263524782352
the lambda is 2.0
the regulation term lambda/alpha is 5.966118072802321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28036194880421844
the lambda is 2.0
the regulation term lambda/alpha is 7.133635675348492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27683112263530485
the lambda is 2.0
the regulation term lambda/alpha is 7.22462120935291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3373215173084018
the lambda is 2.0
the regulation term lambda/alpha is 5.929061436574373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3376451288879122
the lambda is 2.0
the regulation term lambda/alpha is 5.923378804804077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27236162882496434
the lambda is 2.0
the regulation term lambda/alpha is 7.343178290673676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2822108955919344
the lambda is 2.0
the regulation term lambda/alpha is 7.08689859689868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3805992063474311
the lambda is 2.0
the regulation term lambda/alpha is 5.254871704000071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2832025967583901
the lambda is 2.0
the regulation term lambda/alpha is 7.062082137990666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.309481710053643
the lambda is 2.0
the regulation term lambda/alpha is 6.462417438669757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3304121379969842
the lambda is 2.0
the regulation term lambda/alpha is 6.053046392678996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2912774038234203
the lambda is 2.0
the regulation term lambda/alpha is 6.866306736283774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30019001841453125
the lambda is 2.0
the regulation term lambda/alpha is 6.662446708132073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43350967586046346
the lambda is 2.0
the regulation term lambda/alpha is 4.6135071749673076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29923084535616196
the lambda is 2.0
the regulation term lambda/alpha is 6.683802926865657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2643681582750895
the lambda is 2.0
the regulation term lambda/alpha is 7.565207599316445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3246992572697215
the lambda is 2.0
the regulation term lambda/alpha is 6.159545965141023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34748599587374246
the lambda is 2.0
the regulation term lambda/alpha is 5.755627633197315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28632064425217346
the lambda is 2.0
the regulation term lambda/alpha is 6.985175676814013
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3314985770920772
the lambda is 2.0
the regulation term lambda/alpha is 6.033208400301758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26304580897951574
the lambda is 2.0
the regulation term lambda/alpha is 7.603238415996762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3848275523866998
the lambda is 2.0
the regulation term lambda/alpha is 5.197133073232422
340
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4220391781784348
the lambda is 2.0
the regulation term lambda/alpha is 4.738896537122949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36124548346627583
the lambda is 2.0
the regulation term lambda/alpha is 5.536401398875096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.309384449963762
the lambda is 2.0
the regulation term lambda/alpha is 6.464449005870394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2986563731777349
the lambda is 2.0
the regulation term lambda/alpha is 6.696659370499252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32500461597674696
the lambda is 2.0
the regulation term lambda/alpha is 6.153758751977522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2725667887874398
the lambda is 2.0
the regulation term lambda/alpha is 7.337651108916621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25556997599861714
the lambda is 2.0
the regulation term lambda/alpha is 7.825645372407993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28100089768879377
the lambda is 2.0
the regulation term lambda/alpha is 7.117414984969137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3376754439367951
the lambda is 2.0
the regulation term lambda/alpha is 5.922847029333743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24106066664353296
the lambda is 2.0
the regulation term lambda/alpha is 8.296666676681387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34806289354290937
the lambda is 2.0
the regulation term lambda/alpha is 5.746087954513425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34651559203783106
the lambda is 2.0
the regulation term lambda/alpha is 5.771746051131947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31047611158963545
the lambda is 2.0
the regulation term lambda/alpha is 6.441719428138978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2753942197747935
the lambda is 2.0
the regulation term lambda/alpha is 7.262316549837251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29560047877870144
the lambda is 2.0
the regulation term lambda/alpha is 6.765888906077454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.43999376409177277
the lambda is 2.0
the regulation term lambda/alpha is 4.545518966907097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2869737277810871
the lambda is 2.0
the regulation term lambda/alpha is 6.969279088591919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36337677776286
the lambda is 2.0
the regulation term lambda/alpha is 5.503929041126568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27520206973876454
the lambda is 2.0
the regulation term lambda/alpha is 7.267387203513764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2877090241524906
the lambda is 2.0
the regulation term lambda/alpha is 6.951467740337427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42344891231008275
the lambda is 2.0
the regulation term lambda/alpha is 4.723119936922738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38051607241879387
the lambda is 2.0
the regulation term lambda/alpha is 5.256019771482375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3390929937391704
the lambda is 2.0
the regulation term lambda/alpha is 5.898087064395072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2729216509490765
the lambda is 2.0
the regulation term lambda/alpha is 7.328110441385147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3211358422106115
the lambda is 2.0
the regulation term lambda/alpha is 6.227894047056679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.352716639397115
the lambda is 2.0
the regulation term lambda/alpha is 5.670274029086133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3487188649002495
the lambda is 2.0
the regulation term lambda/alpha is 5.735279049420217
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25773725524003593
the lambda is 2.0
the regulation term lambda/alpha is 7.759840532705912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30409673333280773
the lambda is 2.0
the regulation term lambda/alpha is 6.576854601759802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33816706548709125
the lambda is 2.0
the regulation term lambda/alpha is 5.914236494672322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25588337975053815
the lambda is 2.0
the regulation term lambda/alpha is 7.816060589592841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2829184705383248
the lambda is 2.0
the regulation term lambda/alpha is 7.069174367422841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.387936532131842
the lambda is 2.0
the regulation term lambda/alpha is 5.155482493513374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33867462793095987
the lambda is 2.0
the regulation term lambda/alpha is 5.905372989463231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30905674028075214
the lambda is 2.0
the regulation term lambda/alpha is 6.471303612997302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27408409754799334
the lambda is 2.0
the regulation term lambda/alpha is 7.297030429318473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3267839087466089
the lambda is 2.0
the regulation term lambda/alpha is 6.1202523945290634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29869279855693776
the lambda is 2.0
the regulation term lambda/alpha is 6.695842717542966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3267567396919468
the lambda is 2.0
the regulation term lambda/alpha is 6.120761279126239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24653475663450386
the lambda is 2.0
the regulation term lambda/alpha is 8.11244640432208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33809431779254073
the lambda is 2.0
the regulation term lambda/alpha is 5.915509059892652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38722460127554104
the lambda is 2.0
the regulation term lambda/alpha is 5.164961093411628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3370176883155844
the lambda is 2.0
the regulation term lambda/alpha is 5.934406618228281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2244954490361501
the lambda is 2.0
the regulation term lambda/alpha is 8.908866565388342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3378224637411053
the lambda is 2.0
the regulation term lambda/alpha is 5.920269415632249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2834068965786722
the lambda is 2.0
the regulation term lambda/alpha is 7.056991287594905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3016372685993081
the lambda is 2.0
the regulation term lambda/alpha is 6.630480408761358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2976327947567517
the lambda is 2.0
the regulation term lambda/alpha is 6.719689614965156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36054383906134324
the lambda is 2.0
the regulation term lambda/alpha is 5.547175636690656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3005060182354506
the lambda is 2.0
the regulation term lambda/alpha is 6.655440752048342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35547473615692365
the lambda is 2.0
the regulation term lambda/alpha is 5.626278878837408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30040621136034307
the lambda is 2.0
the regulation term lambda/alpha is 6.657651953810507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36956686412663214
the lambda is 2.0
the regulation term lambda/alpha is 5.411740591858635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2725024508094082
the lambda is 2.0
the regulation term lambda/alpha is 7.339383532366196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2941477484638157
the lambda is 2.0
the regulation term lambda/alpha is 6.799304126735575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25321583539055337
the lambda is 2.0
the regulation term lambda/alpha is 7.898400180680854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33479893126991483
the lambda is 2.0
the regulation term lambda/alpha is 5.973734720161339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3347646304138958
the lambda is 2.0
the regulation term lambda/alpha is 5.974346804581006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34026327996021044
the lambda is 2.0
the regulation term lambda/alpha is 5.877801449024635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3028755012497359
the lambda is 2.0
the regulation term lambda/alpha is 6.603373306020221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.404937844345766
the lambda is 2.0
the regulation term lambda/alpha is 4.9390296015213915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3827890487076451
the lambda is 2.0
the regulation term lambda/alpha is 5.224809870481689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.303522579529246
the lambda is 2.0
the regulation term lambda/alpha is 6.58929560727224
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.304584771911214
the lambda is 2.0
the regulation term lambda/alpha is 6.566316455843685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33458341069166775
the lambda is 2.0
the regulation term lambda/alpha is 5.977582677711064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2836625371840782
the lambda is 2.0
the regulation term lambda/alpha is 7.050631429352733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3569453413007169
the lambda is 2.0
the regulation term lambda/alpha is 5.603098762157686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3677075621761627
the lambda is 2.0
the regulation term lambda/alpha is 5.4391048912990065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2950436853747214
the lambda is 2.0
the regulation term lambda/alpha is 6.778657192611636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26951969708829365
the lambda is 2.0
the regulation term lambda/alpha is 7.4206079244175145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3404385652840801
the lambda is 2.0
the regulation term lambda/alpha is 5.874775081169471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3633540605896187
the lambda is 2.0
the regulation term lambda/alpha is 5.5042731509717475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32397672448346454
the lambda is 2.0
the regulation term lambda/alpha is 6.1732829825621565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.301384644233766
the lambda is 2.0
the regulation term lambda/alpha is 6.636038160088607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35433460868790384
the lambda is 2.0
the regulation term lambda/alpha is 5.644382318187807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29945300975069084
the lambda is 2.0
the regulation term lambda/alpha is 6.67884420886301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30571883880102296
the lambda is 2.0
the regulation term lambda/alpha is 6.5419586435813315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3687484885200511
the lambda is 2.0
the regulation term lambda/alpha is 5.423751045128007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3083344161488211
the lambda is 2.0
the regulation term lambda/alpha is 6.486463707102606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31962142828438894
the lambda is 2.0
the regulation term lambda/alpha is 6.257402736528866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2616681896759881
the lambda is 2.0
the regulation term lambda/alpha is 7.643267614900037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28846717779557196
the lambda is 2.0
the regulation term lambda/alpha is 6.933197791456677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2736764300966914
the lambda is 2.0
the regulation term lambda/alpha is 7.307900060276981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3537497139538443
the lambda is 2.0
the regulation term lambda/alpha is 5.653714819006048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30420040350987687
the lambda is 2.0
the regulation term lambda/alpha is 6.5746132382597695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3321672331872209
the lambda is 2.0
the regulation term lambda/alpha is 6.021063489042976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3287891595930774
the lambda is 2.0
the regulation term lambda/alpha is 6.082925612496713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3565824927971695
the lambda is 2.0
the regulation term lambda/alpha is 5.608800320821235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3528838579000082
the lambda is 2.0
the regulation term lambda/alpha is 5.667587097641378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32654142691039306
the lambda is 2.0
the regulation term lambda/alpha is 6.124797147250858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31300036637710477
the lambda is 2.0
the regulation term lambda/alpha is 6.389768878386512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2884053985169469
the lambda is 2.0
the regulation term lambda/alpha is 6.934682950750933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2873687999735426
the lambda is 2.0
the regulation term lambda/alpha is 6.959697782724275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2526367873710385
the lambda is 2.0
the regulation term lambda/alpha is 7.916503454671755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30125961057929906
the lambda is 2.0
the regulation term lambda/alpha is 6.638792356380445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29493546348177174
the lambda is 2.0
the regulation term lambda/alpha is 6.781144513411858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35013105437429476
the lambda is 2.0
the regulation term lambda/alpha is 5.7121468519098375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29856609375491644
the lambda is 2.0
the regulation term lambda/alpha is 6.698684284096028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4807996551091748
the lambda is 2.0
the regulation term lambda/alpha is 4.159736760929793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3096172631917414
the lambda is 2.0
the regulation term lambda/alpha is 6.4595881359542595
350
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41010462799902664
the lambda is 2.0
the regulation term lambda/alpha is 4.876804267628862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3459359363256845
the lambda is 2.0
the regulation term lambda/alpha is 5.781417279866184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32607227305265446
the lambda is 2.0
the regulation term lambda/alpha is 6.133609525508592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3659787994972507
the lambda is 2.0
the regulation term lambda/alpha is 5.4647974220021025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26770870067111574
the lambda is 2.0
the regulation term lambda/alpha is 7.470806869504891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.292881995874626
the lambda is 2.0
the regulation term lambda/alpha is 6.828688783096589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31396335755866245
the lambda is 2.0
the regulation term lambda/alpha is 6.3701701228822865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3291288486773169
the lambda is 2.0
the regulation term lambda/alpha is 6.076647513694041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33855944376901953
the lambda is 2.0
the regulation term lambda/alpha is 5.907382106181891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37084221788050625
the lambda is 2.0
the regulation term lambda/alpha is 5.3931292165997275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28775879417717276
the lambda is 2.0
the regulation term lambda/alpha is 6.950265432265477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3144300239303699
the lambda is 2.0
the regulation term lambda/alpha is 6.360715732550074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2945560747963596
the lambda is 2.0
the regulation term lambda/alpha is 6.789878638159792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2963292097310773
the lambda is 2.0
the regulation term lambda/alpha is 6.74925027409558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29809310382066734
the lambda is 2.0
the regulation term lambda/alpha is 6.7093132124358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27670466191709736
the lambda is 2.0
the regulation term lambda/alpha is 7.227923035858405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3126631858678372
the lambda is 2.0
the regulation term lambda/alpha is 6.396659697715101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2795184907898966
the lambda is 2.0
the regulation term lambda/alpha is 7.155161700924193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30776292845537206
the lambda is 2.0
the regulation term lambda/alpha is 6.498508478710473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3209074066924373
the lambda is 2.0
the regulation term lambda/alpha is 6.232327326482781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28315018589515994
the lambda is 2.0
the regulation term lambda/alpha is 7.063389323503839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3416655299685423
the lambda is 2.0
the regulation term lambda/alpha is 5.853678011311657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3548650442119633
the lambda is 2.0
the regulation term lambda/alpha is 5.635945361824329
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3611606953516494
the lambda is 2.0
the regulation term lambda/alpha is 5.537701155583031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29473034622481326
the lambda is 2.0
the regulation term lambda/alpha is 6.785863843400937
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27731048796604885
the lambda is 2.0
the regulation term lambda/alpha is 7.212132561841153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26261647731986215
the lambda is 2.0
the regulation term lambda/alpha is 7.615668370892188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33744261545230597
the lambda is 2.0
the regulation term lambda/alpha is 5.926933672319996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3161900017076396
the lambda is 2.0
the regulation term lambda/alpha is 6.325310696728704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3438194937298245
the lambda is 2.0
the regulation term lambda/alpha is 5.817005831471593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27567581456138796
the lambda is 2.0
the regulation term lambda/alpha is 7.254898305758472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27588513002316106
the lambda is 2.0
the regulation term lambda/alpha is 7.2493939772400795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37234556491226617
the lambda is 2.0
the regulation term lambda/alpha is 5.371354431121664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3159375560621737
the lambda is 2.0
the regulation term lambda/alpha is 6.330364850978393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30541772145368545
the lambda is 2.0
the regulation term lambda/alpha is 6.548408489463787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3191261305163619
the lambda is 2.0
the regulation term lambda/alpha is 6.267114500351008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3847118680405424
the lambda is 2.0
the regulation term lambda/alpha is 5.198695871241571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29226509712043386
the lambda is 2.0
the regulation term lambda/alpha is 6.843102442628854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24165609877279215
the lambda is 2.0
the regulation term lambda/alpha is 8.276223981751949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27337568511711824
the lambda is 2.0
the regulation term lambda/alpha is 7.315939598443695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34819276747226124
the lambda is 2.0
the regulation term lambda/alpha is 5.743944696264634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2851359695347599
the lambda is 2.0
the regulation term lambda/alpha is 7.014197483619082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2562604466757261
the lambda is 2.0
the regulation term lambda/alpha is 7.804559876268439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3542387262176489
the lambda is 2.0
the regulation term lambda/alpha is 5.645910093892936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38291181398519025
the lambda is 2.0
the regulation term lambda/alpha is 5.223134745268928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35532512015874756
the lambda is 2.0
the regulation term lambda/alpha is 5.628647924206613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3310466341016687
the lambda is 2.0
the regulation term lambda/alpha is 6.0414449022483465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3511149538719451
the lambda is 2.0
the regulation term lambda/alpha is 5.6961401898291655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3025619602466441
the lambda is 2.0
the regulation term lambda/alpha is 6.610216295431287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36065796237470693
the lambda is 2.0
the regulation term lambda/alpha is 5.545420339069327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3637828024436818
the lambda is 2.0
the regulation term lambda/alpha is 5.497786004630127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28665807781731956
the lambda is 2.0
the regulation term lambda/alpha is 6.97695322325629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26041811744234217
the lambda is 2.0
the regulation term lambda/alpha is 7.679957215122752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3031975437222815
the lambda is 2.0
the regulation term lambda/alpha is 6.596359506896041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3375768528734842
the lambda is 2.0
the regulation term lambda/alpha is 5.924576827397441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31173177119815076
the lambda is 2.0
the regulation term lambda/alpha is 6.415772098919971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28302412850630165
the lambda is 2.0
the regulation term lambda/alpha is 7.066535318226301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36351867199923027
the lambda is 2.0
the regulation term lambda/alpha is 5.50178066232657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3695544626784676
the lambda is 2.0
the regulation term lambda/alpha is 5.411922198163545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34791819189155204
the lambda is 2.0
the regulation term lambda/alpha is 5.748477793375664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31945883699046723
the lambda is 2.0
the regulation term lambda/alpha is 6.260587494906835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2673312167423138
the lambda is 2.0
the regulation term lambda/alpha is 7.481355991162985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29170997770330287
the lambda is 2.0
the regulation term lambda/alpha is 6.856124757015314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3219889928238798
the lambda is 2.0
the regulation term lambda/alpha is 6.2113924530766536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34013229958582547
the lambda is 2.0
the regulation term lambda/alpha is 5.880064911316488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.288134816071925
the lambda is 2.0
the regulation term lambda/alpha is 6.941195192117132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3141980302662019
the lambda is 2.0
the regulation term lambda/alpha is 6.365412279337064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37321521937731894
the lambda is 2.0
the regulation term lambda/alpha is 5.358838268538049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2901503870320822
the lambda is 2.0
the regulation term lambda/alpha is 6.8929771917859215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3290833760899708
the lambda is 2.0
the regulation term lambda/alpha is 6.077487182011904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37022575831672944
the lambda is 2.0
the regulation term lambda/alpha is 5.402109267310874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37412043591764665
the lambda is 2.0
the regulation term lambda/alpha is 5.3458720988987904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2793283779123584
the lambda is 2.0
the regulation term lambda/alpha is 7.160031554787163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3522875646025639
the lambda is 2.0
the regulation term lambda/alpha is 5.677180238412095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3062282506235694
the lambda is 2.0
the regulation term lambda/alpha is 6.531076071288069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3297074426056889
the lambda is 2.0
the regulation term lambda/alpha is 6.065983783059107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3054776582175391
the lambda is 2.0
the regulation term lambda/alpha is 6.547123647830719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3203354679624573
the lambda is 2.0
the regulation term lambda/alpha is 6.24345475298538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2981881029238416
the lambda is 2.0
the regulation term lambda/alpha is 6.7071757068416895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23129252304803732
the lambda is 2.0
the regulation term lambda/alpha is 8.647058597672949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32240233267735313
the lambda is 2.0
the regulation term lambda/alpha is 6.203429061419096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4298887650608891
the lambda is 2.0
the regulation term lambda/alpha is 4.652366292281962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2755596691769515
the lambda is 2.0
the regulation term lambda/alpha is 7.2579561659862994
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3468568104852971
the lambda is 2.0
the regulation term lambda/alpha is 5.766068128233504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2742225786947188
the lambda is 2.0
the regulation term lambda/alpha is 7.293345462360783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31805850124110485
the lambda is 2.0
the regulation term lambda/alpha is 6.2881513689957815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30566282118789506
the lambda is 2.0
the regulation term lambda/alpha is 6.543157562399691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2684966035104865
the lambda is 2.0
the regulation term lambda/alpha is 7.448883799090171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28800444796347513
the lambda is 2.0
the regulation term lambda/alpha is 6.944337193895148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26488489180340313
the lambda is 2.0
the regulation term lambda/alpha is 7.550449504248792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2903261518988856
the lambda is 2.0
the regulation term lambda/alpha is 6.888804149812026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2580490810728995
the lambda is 2.0
the regulation term lambda/alpha is 7.750463561755507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33883896907500605
the lambda is 2.0
the regulation term lambda/alpha is 5.902508809597034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2925365170220198
the lambda is 2.0
the regulation term lambda/alpha is 6.836753306423812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26450227146620164
the lambda is 2.0
the regulation term lambda/alpha is 7.561371737616862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32468048305632197
the lambda is 2.0
the regulation term lambda/alpha is 6.159902132623913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3256368861518345
the lambda is 2.0
the regulation term lambda/alpha is 6.1418103570351095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2977833190847045
the lambda is 2.0
the regulation term lambda/alpha is 6.71629292784899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32686015734458573
the lambda is 2.0
the regulation term lambda/alpha is 6.118824687132302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3062749566097362
the lambda is 2.0
the regulation term lambda/alpha is 6.530080102332539
360
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2825725946142615
the lambda is 2.0
the regulation term lambda/alpha is 7.077827213676509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32107288152887525
the lambda is 2.0
the regulation term lambda/alpha is 6.229115303903773
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27657438571615545
the lambda is 2.0
the regulation term lambda/alpha is 7.231327640197936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3128219900821254
the lambda is 2.0
the regulation term lambda/alpha is 6.393412430740366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3935955517843903
the lambda is 2.0
the regulation term lambda/alpha is 5.081358239270931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32955871814049104
the lambda is 2.0
the regulation term lambda/alpha is 6.068721262434936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4431997936932765
the lambda is 2.0
the regulation term lambda/alpha is 4.51263747966483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31629142775807667
the lambda is 2.0
the regulation term lambda/alpha is 6.323282341783065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33087851657746464
the lambda is 2.0
the regulation term lambda/alpha is 6.044514526623138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2934685857573067
the lambda is 2.0
the regulation term lambda/alpha is 6.815039486556712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3412128687510123
the lambda is 2.0
the regulation term lambda/alpha is 5.86144364167996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3288426479894962
the lambda is 2.0
the regulation term lambda/alpha is 6.081936185065276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2929156297031613
the lambda is 2.0
the regulation term lambda/alpha is 6.827904683771181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35740079737840935
the lambda is 2.0
the regulation term lambda/alpha is 5.595958416070451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3461639097457609
the lambda is 2.0
the regulation term lambda/alpha is 5.777609807645443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34032033414752005
the lambda is 2.0
the regulation term lambda/alpha is 5.876816044536004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3687800709931939
the lambda is 2.0
the regulation term lambda/alpha is 5.423286552913841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2785994784082807
the lambda is 2.0
the regulation term lambda/alpha is 7.178764337343981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42146170003180944
the lambda is 2.0
the regulation term lambda/alpha is 4.745389675619521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29030565696742205
the lambda is 2.0
the regulation term lambda/alpha is 6.889290484010234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41890867251561886
the lambda is 2.0
the regulation term lambda/alpha is 4.774310323989367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2893624262752492
the lambda is 2.0
the regulation term lambda/alpha is 6.911747408758409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3728478249554685
the lambda is 2.0
the regulation term lambda/alpha is 5.364118726557872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29321869932979766
the lambda is 2.0
the regulation term lambda/alpha is 6.820847389922088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35427329648269557
the lambda is 2.0
the regulation term lambda/alpha is 5.645359161575108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3168313079666042
the lambda is 2.0
the regulation term lambda/alpha is 6.3125074754632875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3178533224501349
the lambda is 2.0
the regulation term lambda/alpha is 6.292210459161589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2988486014546396
the lambda is 2.0
the regulation term lambda/alpha is 6.692351880735061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3671035281536384
the lambda is 2.0
the regulation term lambda/alpha is 5.4480544223017375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31743786041963595
the lambda is 2.0
the regulation term lambda/alpha is 6.300445691500398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.349088819278924
the lambda is 2.0
the regulation term lambda/alpha is 5.7292009641878225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30716866694467837
the lambda is 2.0
the regulation term lambda/alpha is 6.511080768404687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2873831479189798
the lambda is 2.0
the regulation term lambda/alpha is 6.959350311535484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34319684224564334
the lambda is 2.0
the regulation term lambda/alpha is 5.827559446390532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3162436727534182
the lambda is 2.0
the regulation term lambda/alpha is 6.3242372016070085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36465968227718165
the lambda is 2.0
the regulation term lambda/alpha is 5.4845657395153955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3590185113578031
the lambda is 2.0
the regulation term lambda/alpha is 5.57074339269033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3533193687391961
the lambda is 2.0
the regulation term lambda/alpha is 5.660601079235786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28510862344434423
the lambda is 2.0
the regulation term lambda/alpha is 7.014870247831763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3546112161185303
the lambda is 2.0
the regulation term lambda/alpha is 5.639979529952294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2890700293657343
the lambda is 2.0
the regulation term lambda/alpha is 6.91873870282685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29180257397161385
the lambda is 2.0
the regulation term lambda/alpha is 6.853949136838516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3398716919744343
the lambda is 2.0
the regulation term lambda/alpha is 5.8845736412506024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2665646091674929
the lambda is 2.0
the regulation term lambda/alpha is 7.5028714661192035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3180842608571108
the lambda is 2.0
the regulation term lambda/alpha is 6.287642131713132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35393789059132524
the lambda is 2.0
the regulation term lambda/alpha is 5.650708932741259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32875988373976894
the lambda is 2.0
the regulation term lambda/alpha is 6.083467293056677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27983801954278836
the lambda is 2.0
the regulation term lambda/alpha is 7.14699168921967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25749761406517874
the lambda is 2.0
the regulation term lambda/alpha is 7.767062259045836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2984131543624572
the lambda is 2.0
the regulation term lambda/alpha is 6.702117419297037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3270654144458712
the lambda is 2.0
the regulation term lambda/alpha is 6.114984683992005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26314972928882807
the lambda is 2.0
the regulation term lambda/alpha is 7.600235825456004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3230945461271231
the lambda is 2.0
the regulation term lambda/alpha is 6.190138533669617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3163055471172593
the lambda is 2.0
the regulation term lambda/alpha is 6.323000080863487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31780245984866834
the lambda is 2.0
the regulation term lambda/alpha is 6.293217494138853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24476680746672702
the lambda is 2.0
the regulation term lambda/alpha is 8.17104255556332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31537624458746727
the lambda is 2.0
the regulation term lambda/alpha is 6.341631731382085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3805135390052313
the lambda is 2.0
the regulation term lambda/alpha is 5.256054765432417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34872925559104934
the lambda is 2.0
the regulation term lambda/alpha is 5.7351081618038275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30525324885181293
the lambda is 2.0
the regulation term lambda/alpha is 6.551936818110369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39048379312656273
the lambda is 2.0
the regulation term lambda/alpha is 5.121851496028068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34979871412979113
the lambda is 2.0
the regulation term lambda/alpha is 5.7175739052542935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33760573937249094
the lambda is 2.0
the regulation term lambda/alpha is 5.924069903898576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28806852216808654
the lambda is 2.0
the regulation term lambda/alpha is 6.942792586109113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38775099876627517
the lambda is 2.0
the regulation term lambda/alpha is 5.157949318927585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30058619394845154
the lambda is 2.0
the regulation term lambda/alpha is 6.65366553842119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29617682738417417
the lambda is 2.0
the regulation term lambda/alpha is 6.752722748987308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44731364083460134
the lambda is 2.0
the regulation term lambda/alpha is 4.471135725412675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3142843004493483
the lambda is 2.0
the regulation term lambda/alpha is 6.363664991030408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28389356479985356
the lambda is 2.0
the regulation term lambda/alpha is 7.044893748859755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28817302395707595
the lambda is 2.0
the regulation term lambda/alpha is 6.940274882557726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2897903037783219
the lambda is 2.0
the regulation term lambda/alpha is 6.901542163156435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31805808536105395
the lambda is 2.0
the regulation term lambda/alpha is 6.2881595911313966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2957884100253019
the lambda is 2.0
the regulation term lambda/alpha is 6.761590150976231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124277702021138
the lambda is 2.0
the regulation term lambda/alpha is 6.401479608250485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29971494663568493
the lambda is 2.0
the regulation term lambda/alpha is 6.67300721051819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31852814713014427
the lambda is 2.0
the regulation term lambda/alpha is 6.27887996090606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30302738183717387
the lambda is 2.0
the regulation term lambda/alpha is 6.600063624199686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2417936915587124
the lambda is 2.0
the regulation term lambda/alpha is 8.271514393560429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3393095354213633
the lambda is 2.0
the regulation term lambda/alpha is 5.894323003673766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4892649329131387
the lambda is 2.0
the regulation term lambda/alpha is 4.087764860015153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2953534194887367
the lambda is 2.0
the regulation term lambda/alpha is 6.771548484056979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2571820072363756
the lambda is 2.0
the regulation term lambda/alpha is 7.7765937885452585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2928085037435429
the lambda is 2.0
the regulation term lambda/alpha is 6.830402718603096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3604648814551242
the lambda is 2.0
the regulation term lambda/alpha is 5.548390711257093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34555517854430884
the lambda is 2.0
the regulation term lambda/alpha is 5.7877876651284215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2994631776530696
the lambda is 2.0
the regulation term lambda/alpha is 6.6786174369558555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3180071617413089
the lambda is 2.0
the regulation term lambda/alpha is 6.289166536528984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3403955741782482
the lambda is 2.0
the regulation term lambda/alpha is 5.875517050502836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30623694613553887
the lambda is 2.0
the regulation term lambda/alpha is 6.530890623219611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39323694766252704
the lambda is 2.0
the regulation term lambda/alpha is 5.0859920765034135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2718205475741929
the lambda is 2.0
the regulation term lambda/alpha is 7.357795493565857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3749954695058849
the lambda is 2.0
the regulation term lambda/alpha is 5.3333977678058675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3392734580511145
the lambda is 2.0
the regulation term lambda/alpha is 5.894949789142311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2689562988298595
the lambda is 2.0
the regulation term lambda/alpha is 7.436152299467769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3345000595751698
the lambda is 2.0
the regulation term lambda/alpha is 5.979072178761613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3220606476908983
the lambda is 2.0
the regulation term lambda/alpha is 6.210010488209428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2836988019135191
the lambda is 2.0
the regulation term lambda/alpha is 7.049730159275283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30566511971237725
the lambda is 2.0
the regulation term lambda/alpha is 6.543108359507774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27627816556913715
the lambda is 2.0
the regulation term lambda/alpha is 7.239080930916021
370
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32694186682071696
the lambda is 2.0
the regulation term lambda/alpha is 6.117295467382669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.303107888124403
the lambda is 2.0
the regulation term lambda/alpha is 6.5983106291814835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32378394961871176
the lambda is 2.0
the regulation term lambda/alpha is 6.176958438968954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2915594614589083
the lambda is 2.0
the regulation term lambda/alpha is 6.859664200202521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28505739763467197
the lambda is 2.0
the regulation term lambda/alpha is 7.016130844508688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3384423283718458
the lambda is 2.0
the regulation term lambda/alpha is 5.909426310891599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046757612924947
the lambda is 2.0
the regulation term lambda/alpha is 6.564355469288418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37497161897522807
the lambda is 2.0
the regulation term lambda/alpha is 5.333737005125519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3412856045840667
the lambda is 2.0
the regulation term lambda/alpha is 5.860194432863496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24874516134550317
the lambda is 2.0
the regulation term lambda/alpha is 8.040357405071413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30211086075972077
the lambda is 2.0
the regulation term lambda/alpha is 6.620086397988417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34755957388384195
the lambda is 2.0
the regulation term lambda/alpha is 5.754409172651423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30184596140948716
the lambda is 2.0
the regulation term lambda/alpha is 6.625896171215558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3697958751432044
the lambda is 2.0
the regulation term lambda/alpha is 5.408389153138863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2892714139098001
the lambda is 2.0
the regulation term lambda/alpha is 6.913922025574346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31635611103589345
the lambda is 2.0
the regulation term lambda/alpha is 6.321989461341817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27970250761085197
the lambda is 2.0
the regulation term lambda/alpha is 7.150454306196586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26568795890614355
the lambda is 2.0
the regulation term lambda/alpha is 7.527627553142205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27926027744013554
the lambda is 2.0
the regulation term lambda/alpha is 7.161777601645246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.286648964899067
the lambda is 2.0
the regulation term lambda/alpha is 6.977175029061163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3189058028164814
the lambda is 2.0
the regulation term lambda/alpha is 6.271444364877007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2790498620283394
the lambda is 2.0
the regulation term lambda/alpha is 7.167177885208509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31665787785384303
the lambda is 2.0
the regulation term lambda/alpha is 6.3159647678909865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2917573110149503
the lambda is 2.0
the regulation term lambda/alpha is 6.855012452104467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2888459107855906
the lambda is 2.0
the regulation term lambda/alpha is 6.924107024954886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3175709502673997
the lambda is 2.0
the regulation term lambda/alpha is 6.297805256796848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34460737012104725
the lambda is 2.0
the regulation term lambda/alpha is 5.8037064015708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34102483554892943
the lambda is 2.0
the regulation term lambda/alpha is 5.864675506054294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3932093034869853
the lambda is 2.0
the regulation term lambda/alpha is 5.086349641943803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3305235181479083
the lambda is 2.0
the regulation term lambda/alpha is 6.051006630956306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2858223931595916
the lambda is 2.0
the regulation term lambda/alpha is 6.99735236939004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26292568513821835
the lambda is 2.0
the regulation term lambda/alpha is 7.606712135973376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32969842851261505
the lambda is 2.0
the regulation term lambda/alpha is 6.0661496295954445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28187910333736
the lambda is 2.0
the regulation term lambda/alpha is 7.095240393206267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3030971959175063
the lambda is 2.0
the regulation term lambda/alpha is 6.598543394457329
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3236072520087755
the lambda is 2.0
the regulation term lambda/alpha is 6.180331211940097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32946758307164836
the lambda is 2.0
the regulation term lambda/alpha is 6.070399950592607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31786771185432955
the lambda is 2.0
the regulation term lambda/alpha is 6.291925620040791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3673195587304637
the lambda is 2.0
the regulation term lambda/alpha is 5.444850274002384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2571052535363584
the lambda is 2.0
the regulation term lambda/alpha is 7.778915337166268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31395967490328586
the lambda is 2.0
the regulation term lambda/alpha is 6.370244843119082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3326369762684412
the lambda is 2.0
the regulation term lambda/alpha is 6.0125606672962935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32903637048347056
the lambda is 2.0
the regulation term lambda/alpha is 6.078355402052649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2798385526813034
the lambda is 2.0
the regulation term lambda/alpha is 7.146978073023832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3126979169166326
the lambda is 2.0
the regulation term lambda/alpha is 6.395949227040146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37905704603474355
the lambda is 2.0
the regulation term lambda/alpha is 5.276250688179226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32435930417123643
the lambda is 2.0
the regulation term lambda/alpha is 6.166001635470756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28814997558060823
the lambda is 2.0
the regulation term lambda/alpha is 6.940830017320311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27582781159153075
the lambda is 2.0
the regulation term lambda/alpha is 7.250900438429211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33556163999958205
the lambda is 2.0
the regulation term lambda/alpha is 5.9601568284220185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.22705957956783507
the lambda is 2.0
the regulation term lambda/alpha is 8.808260826548791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27645834433912786
the lambda is 2.0
the regulation term lambda/alpha is 7.234362937320589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35113840080728365
the lambda is 2.0
the regulation term lambda/alpha is 5.6957598354435355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3335765442196914
the lambda is 2.0
the regulation term lambda/alpha is 5.995625395899577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35479635809143045
the lambda is 2.0
the regulation term lambda/alpha is 5.6370364418582986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32988674241579846
the lambda is 2.0
the regulation term lambda/alpha is 6.062686803821731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2950571818051466
the lambda is 2.0
the regulation term lambda/alpha is 6.778347125001634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34608297429980833
the lambda is 2.0
the regulation term lambda/alpha is 5.778960967514742
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2710321334163784
the lambda is 2.0
the regulation term lambda/alpha is 7.379198823364096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3211352188881137
the lambda is 2.0
the regulation term lambda/alpha is 6.2279061353803655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33080429489876406
the lambda is 2.0
the regulation term lambda/alpha is 6.045870718250678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3163294225799734
the lambda is 2.0
the regulation term lambda/alpha is 6.322522842447153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37849105394771987
the lambda is 2.0
the regulation term lambda/alpha is 5.2841407455729605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3351576011903197
the lambda is 2.0
the regulation term lambda/alpha is 5.96734190988644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29375936120832424
the lambda is 2.0
the regulation term lambda/alpha is 6.80829367198163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2915878297727286
the lambda is 2.0
the regulation term lambda/alpha is 6.858996829733441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31007334892120353
the lambda is 2.0
the regulation term lambda/alpha is 6.450086751919605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.318073546927152
the lambda is 2.0
the regulation term lambda/alpha is 6.287853923476565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3077285211812507
the lambda is 2.0
the regulation term lambda/alpha is 6.499235080072442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28659111063189047
the lambda is 2.0
the regulation term lambda/alpha is 6.978583514297773
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3247371985459204
the lambda is 2.0
the regulation term lambda/alpha is 6.158826303101165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27571144134947245
the lambda is 2.0
the regulation term lambda/alpha is 7.253960844754863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2543934304748533
the lambda is 2.0
the regulation term lambda/alpha is 7.861838241132172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3995955565816156
the lambda is 2.0
the regulation term lambda/alpha is 5.005060659605981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42117253447720393
the lambda is 2.0
the regulation term lambda/alpha is 4.748647730513991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36153855927949646
the lambda is 2.0
the regulation term lambda/alpha is 5.5319133980778235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2884226093667436
the lambda is 2.0
the regulation term lambda/alpha is 6.934269142045315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2783483900661741
the lambda is 2.0
the regulation term lambda/alpha is 7.185240049437768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31145885527700684
the lambda is 2.0
the regulation term lambda/alpha is 6.421393921265234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29069693537602637
the lambda is 2.0
the regulation term lambda/alpha is 6.880017491112977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3138500174811172
the lambda is 2.0
the regulation term lambda/alpha is 6.372470570661447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36167805220268684
the lambda is 2.0
the regulation term lambda/alpha is 5.529779835463133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29516823486563154
the lambda is 2.0
the regulation term lambda/alpha is 6.775796863475006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3338536116622113
the lambda is 2.0
the regulation term lambda/alpha is 5.990649584535793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41359326364725224
the lambda is 2.0
the regulation term lambda/alpha is 4.835668701088351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3624373615581792
the lambda is 2.0
the regulation term lambda/alpha is 5.518194899669459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28267558943052185
the lambda is 2.0
the regulation term lambda/alpha is 7.075248358123881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29892284265267133
the lambda is 2.0
the regulation term lambda/alpha is 6.690689752083846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2942287868762807
the lambda is 2.0
the regulation term lambda/alpha is 6.797431418024279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34706148470638987
the lambda is 2.0
the regulation term lambda/alpha is 5.762667677434671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3466422704172226
the lambda is 2.0
the regulation term lambda/alpha is 5.7696368004766905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28686784159602924
the lambda is 2.0
the regulation term lambda/alpha is 6.9718515288180125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38630413125656554
the lambda is 2.0
the regulation term lambda/alpha is 5.177267955935194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35928666980475504
the lambda is 2.0
the regulation term lambda/alpha is 5.566585593300324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2846035428385599
the lambda is 2.0
the regulation term lambda/alpha is 7.02731940738521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3406734222700334
the lambda is 2.0
the regulation term lambda/alpha is 5.870725067641785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.295957628051021
the lambda is 2.0
the regulation term lambda/alpha is 6.757724114666895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3573572380453215
the lambda is 2.0
the regulation term lambda/alpha is 5.596640524030332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31092579292734723
the lambda is 2.0
the regulation term lambda/alpha is 6.432402989697712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30523418928540935
the lambda is 2.0
the regulation term lambda/alpha is 6.552345937007401
380
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3341998176159705
the lambda is 2.0
the regulation term lambda/alpha is 5.98444372072699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29432831897206596
the lambda is 2.0
the regulation term lambda/alpha is 6.795132751700374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38392967593751215
the lambda is 2.0
the regulation term lambda/alpha is 5.209287339188433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3751698696107261
the lambda is 2.0
the regulation term lambda/alpha is 5.330918503863829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32380290038038073
the lambda is 2.0
the regulation term lambda/alpha is 6.176596928719729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39324073898980266
the lambda is 2.0
the regulation term lambda/alpha is 5.085943041246963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3505596081259411
the lambda is 2.0
the regulation term lambda/alpha is 5.70516383987252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3296502974784169
the lambda is 2.0
the regulation term lambda/alpha is 6.06703532591517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3710639122500058
the lambda is 2.0
the regulation term lambda/alpha is 5.3899070590634315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2904798314262309
the lambda is 2.0
the regulation term lambda/alpha is 6.885159600169735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2728875684293955
the lambda is 2.0
the regulation term lambda/alpha is 7.329025691829792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3424097409975646
the lambda is 2.0
the regulation term lambda/alpha is 5.840955324966135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2361018851763497
the lambda is 2.0
the regulation term lambda/alpha is 8.470919232627711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.347655792785484
the lambda is 2.0
the regulation term lambda/alpha is 5.752816554488052
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24793845813545234
the lambda is 2.0
the regulation term lambda/alpha is 8.06651785705375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35845183874076353
the lambda is 2.0
the regulation term lambda/alpha is 5.579550120389877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2951494194734842
the lambda is 2.0
the regulation term lambda/alpha is 6.776228811724554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34011291125681536
the lambda is 2.0
the regulation term lambda/alpha is 5.880400107744874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.339361275245384
the lambda is 2.0
the regulation term lambda/alpha is 5.893424341224106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33667750365644705
the lambda is 2.0
the regulation term lambda/alpha is 5.940402843312166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.334300024967174
the lambda is 2.0
the regulation term lambda/alpha is 5.982649867275321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29116606165822145
the lambda is 2.0
the regulation term lambda/alpha is 6.868932418187026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33676965000258774
the lambda is 2.0
the regulation term lambda/alpha is 5.938777440261116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29842412465539986
the lambda is 2.0
the regulation term lambda/alpha is 6.701871044472245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3213727470283416
the lambda is 2.0
the regulation term lambda/alpha is 6.2233030600557475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3865213170945688
the lambda is 2.0
the regulation term lambda/alpha is 5.174358855635036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3007113140371608
the lambda is 2.0
the regulation term lambda/alpha is 6.650897078494517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2668777639208599
the lambda is 2.0
the regulation term lambda/alpha is 7.494067585912034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2902135582967246
the lambda is 2.0
the regulation term lambda/alpha is 6.891476786053976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.353253925070223
the lambda is 2.0
the regulation term lambda/alpha is 5.661649759737055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3176109722951694
the lambda is 2.0
the regulation term lambda/alpha is 6.2970116729510055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28789046992174805
the lambda is 2.0
the regulation term lambda/alpha is 6.947086510170424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33773040744148575
the lambda is 2.0
the regulation term lambda/alpha is 5.921883123143167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25520171589548546
the lambda is 2.0
the regulation term lambda/alpha is 7.836937902169412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32797462937737126
the lambda is 2.0
the regulation term lambda/alpha is 6.098032655138022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34118788781883663
the lambda is 2.0
the regulation term lambda/alpha is 5.86187280206722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35285185322234836
the lambda is 2.0
the regulation term lambda/alpha is 5.668101164087431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33265196046840056
the lambda is 2.0
the regulation term lambda/alpha is 6.012289833445863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36047738230430815
the lambda is 2.0
the regulation term lambda/alpha is 5.548198300862155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3186919635871173
the lambda is 2.0
the regulation term lambda/alpha is 6.2756524434708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3266597699401456
the lambda is 2.0
the regulation term lambda/alpha is 6.122578242084916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3030485454149024
the lambda is 2.0
the regulation term lambda/alpha is 6.599602704780546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3697509990569376
the lambda is 2.0
the regulation term lambda/alpha is 5.409045560663981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2602371413563452
the lambda is 2.0
the regulation term lambda/alpha is 7.685298069199819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2829295782588521
the lambda is 2.0
the regulation term lambda/alpha is 7.068896834003693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2663231139797529
the lambda is 2.0
the regulation term lambda/alpha is 7.509674883690528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3630585448602984
the lambda is 2.0
the regulation term lambda/alpha is 5.508753418183785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3338440699750429
the lambda is 2.0
the regulation term lambda/alpha is 5.99082080490306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3822422045069204
the lambda is 2.0
the regulation term lambda/alpha is 5.232284599708011
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2971236080669105
the lambda is 2.0
the regulation term lambda/alpha is 6.731205281909513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3253376409001632
the lambda is 2.0
the regulation term lambda/alpha is 6.147459588341156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26405155425927107
the lambda is 2.0
the regulation term lambda/alpha is 7.574278460925887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39714895170449255
the lambda is 2.0
the regulation term lambda/alpha is 5.035893942099951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30902513582784186
the lambda is 2.0
the regulation term lambda/alpha is 6.471965442688783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3094917235784176
the lambda is 2.0
the regulation term lambda/alpha is 6.462208348822773
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3119601455442992
the lambda is 2.0
the regulation term lambda/alpha is 6.411075352303278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2838584242781768
the lambda is 2.0
the regulation term lambda/alpha is 7.045765878133782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38309314846303616
the lambda is 2.0
the regulation term lambda/alpha is 5.220662410758243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2950909574938491
the lambda is 2.0
the regulation term lambda/alpha is 6.7775712850899135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37707899444156734
the lambda is 2.0
the regulation term lambda/alpha is 5.303928432719746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3343007553582411
the lambda is 2.0
the regulation term lambda/alpha is 5.982636796189029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23883892576132262
the lambda is 2.0
the regulation term lambda/alpha is 8.373844395861365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3128266076242089
the lambda is 2.0
the regulation term lambda/alpha is 6.393318059448934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2898204445803081
the lambda is 2.0
the regulation term lambda/alpha is 6.900824415255522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3190043294983896
the lambda is 2.0
the regulation term lambda/alpha is 6.269507386137518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30463825456530236
the lambda is 2.0
the regulation term lambda/alpha is 6.565163665521459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37906783845621966
the lambda is 2.0
the regulation term lambda/alpha is 5.276100468309683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3347596091587428
the lambda is 2.0
the regulation term lambda/alpha is 5.974436417302665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3458208840685922
the lambda is 2.0
the regulation term lambda/alpha is 5.783340718090663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3291330339263669
the lambda is 2.0
the regulation term lambda/alpha is 6.076570243166284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3434806361787555
the lambda is 2.0
the regulation term lambda/alpha is 5.822744543186278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39480917632954604
the lambda is 2.0
the regulation term lambda/alpha is 5.065738386816537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33209053195819777
the lambda is 2.0
the regulation term lambda/alpha is 6.0224541428713545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27231928685222717
the lambda is 2.0
the regulation term lambda/alpha is 7.344320055763406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3502337935866679
the lambda is 2.0
the regulation term lambda/alpha is 5.710471224145552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2885754485374375
the lambda is 2.0
the regulation term lambda/alpha is 6.9305965221103545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2592057050547583
the lambda is 2.0
the regulation term lambda/alpha is 7.715879554338866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3343871027587461
the lambda is 2.0
the regulation term lambda/alpha is 5.981091924597827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3929022831416862
the lambda is 2.0
the regulation term lambda/alpha is 5.090324199716527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3066601233994934
the lambda is 2.0
the regulation term lambda/alpha is 6.521878286061187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3995696095084325
the lambda is 2.0
the regulation term lambda/alpha is 5.00538567600395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3426330478443624
the lambda is 2.0
the regulation term lambda/alpha is 5.837148554649871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23517572537146744
the lambda is 2.0
the regulation term lambda/alpha is 8.504279074045321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28160793062331363
the lambda is 2.0
the regulation term lambda/alpha is 7.1020727135531345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3133773679839321
the lambda is 2.0
the regulation term lambda/alpha is 6.382081810395914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2503045700449567
the lambda is 2.0
the regulation term lambda/alpha is 7.990265617766323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3205377736378686
the lambda is 2.0
the regulation term lambda/alpha is 6.239514230418047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41935191600933686
the lambda is 2.0
the regulation term lambda/alpha is 4.769264008693525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2943759022865701
the lambda is 2.0
the regulation term lambda/alpha is 6.794034377355497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2334486164973451
the lambda is 2.0
the regulation term lambda/alpha is 8.56719577099205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28456788004736
the lambda is 2.0
the regulation term lambda/alpha is 7.028200089437868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34055353159663604
the lambda is 2.0
the regulation term lambda/alpha is 5.872791835760119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3725633661483207
the lambda is 2.0
the regulation term lambda/alpha is 5.36821432734152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30697160811537577
the lambda is 2.0
the regulation term lambda/alpha is 6.51526052288294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32105972878533534
the lambda is 2.0
the regulation term lambda/alpha is 6.229370489929074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30102839267254855
the lambda is 2.0
the regulation term lambda/alpha is 6.643891568645327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27904087921826365
the lambda is 2.0
the regulation term lambda/alpha is 7.167408609100659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34616551973319637
the lambda is 2.0
the regulation term lambda/alpha is 5.777582936456179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39689230105180456
the lambda is 2.0
the regulation term lambda/alpha is 5.039150406041635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27894382351798075
the lambda is 2.0
the regulation term lambda/alpha is 7.169902436900811
390
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2785373467056583
the lambda is 2.0
the regulation term lambda/alpha is 7.180365662467092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25365044584106183
the lambda is 2.0
the regulation term lambda/alpha is 7.88486688193407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3843711801522791
the lambda is 2.0
the regulation term lambda/alpha is 5.203303741991388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37204114358241763
the lambda is 2.0
the regulation term lambda/alpha is 5.375749522598012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2592429350789627
the lambda is 2.0
the regulation term lambda/alpha is 7.714771472521791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3379843878274963
the lambda is 2.0
the regulation term lambda/alpha is 5.91743308871645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2912775720182792
the lambda is 2.0
the regulation term lambda/alpha is 6.86630277141451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3228765859756295
the lambda is 2.0
the regulation term lambda/alpha is 6.194317231014573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30848507908775896
the lambda is 2.0
the regulation term lambda/alpha is 6.48329574290701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3106560140055718
the lambda is 2.0
the regulation term lambda/alpha is 6.4379889969364275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33831332435435113
the lambda is 2.0
the regulation term lambda/alpha is 5.9116796650468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32039975288378536
the lambda is 2.0
the regulation term lambda/alpha is 6.242202067881854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3552257934546468
the lambda is 2.0
the regulation term lambda/alpha is 5.630221782460031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37275296494969323
the lambda is 2.0
the regulation term lambda/alpha is 5.365483813844164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31429062915018513
the lambda is 2.0
the regulation term lambda/alpha is 6.363536849341733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32715454100481123
the lambda is 2.0
the regulation term lambda/alpha is 6.113318781568089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31916910661537035
the lambda is 2.0
the regulation term lambda/alpha is 6.266270633799761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35806456532544584
the lambda is 2.0
the regulation term lambda/alpha is 5.585584818151985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32467708859323224
the lambda is 2.0
the regulation term lambda/alpha is 6.159966533720141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3024500882425417
the lambda is 2.0
the regulation term lambda/alpha is 6.6126613208198295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3370862171497174
the lambda is 2.0
the regulation term lambda/alpha is 5.9332001673378905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34030847610513537
the lambda is 2.0
the regulation term lambda/alpha is 5.8770208220794276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3839935331886606
the lambda is 2.0
the regulation term lambda/alpha is 5.208421046552823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2960494700244266
the lambda is 2.0
the regulation term lambda/alpha is 6.755627699096989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34245586139652473
the lambda is 2.0
the regulation term lambda/alpha is 5.8401686916499544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2999523651344219
the lambda is 2.0
the regulation term lambda/alpha is 6.667725387341792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2747513300472907
the lambda is 2.0
the regulation term lambda/alpha is 7.2793096202873935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33866897053645745
the lambda is 2.0
the regulation term lambda/alpha is 5.905471637487089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3047122621154044
the lambda is 2.0
the regulation term lambda/alpha is 6.563569139342791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.248733309425272
the lambda is 2.0
the regulation term lambda/alpha is 8.040740520926766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3339554751115626
the lambda is 2.0
the regulation term lambda/alpha is 5.988822310315085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3162779353655191
the lambda is 2.0
the regulation term lambda/alpha is 6.323552092524636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.355289669123015
the lambda is 2.0
the regulation term lambda/alpha is 5.629209554380605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2533567823425015
the lambda is 2.0
the regulation term lambda/alpha is 7.894006158067998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.319304638522557
the lambda is 2.0
the regulation term lambda/alpha is 6.263610855307733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26084942755094853
the lambda is 2.0
the regulation term lambda/alpha is 7.667258535997226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2864090700374194
the lambda is 2.0
the regulation term lambda/alpha is 6.9830190773591765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33438114471789815
the lambda is 2.0
the regulation term lambda/alpha is 5.9811984963664955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33829672040895936
the lambda is 2.0
the regulation term lambda/alpha is 5.911969816267343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2705570509329315
the lambda is 2.0
the regulation term lambda/alpha is 7.39215626834941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2975557250397511
the lambda is 2.0
the regulation term lambda/alpha is 6.72143007745126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31765843136516286
the lambda is 2.0
the regulation term lambda/alpha is 6.296070881559284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2833598687428158
the lambda is 2.0
the regulation term lambda/alpha is 7.05816250153351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3007946017516455
the lambda is 2.0
the regulation term lambda/alpha is 6.649055496186473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3018252391121198
the lambda is 2.0
the regulation term lambda/alpha is 6.626351082776928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3679695012712055
the lambda is 2.0
the regulation term lambda/alpha is 5.435233064399908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2808048463175555
the lambda is 2.0
the regulation term lambda/alpha is 7.122384197522887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3566482527906228
the lambda is 2.0
the regulation term lambda/alpha is 5.6077661515256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3052111229543196
the lambda is 2.0
the regulation term lambda/alpha is 6.552841130561733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32311786379789437
the lambda is 2.0
the regulation term lambda/alpha is 6.189691824810316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3192634266226964
the lambda is 2.0
the regulation term lambda/alpha is 6.264419389207358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31888347179815535
the lambda is 2.0
the regulation term lambda/alpha is 6.271883546432115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2601787076490467
the lambda is 2.0
the regulation term lambda/alpha is 7.687024115354537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30181294919007956
the lambda is 2.0
the regulation term lambda/alpha is 6.626620909961073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25528015270825255
the lambda is 2.0
the regulation term lambda/alpha is 7.8345299420347185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36407698388808823
the lambda is 2.0
the regulation term lambda/alpha is 5.493343684188424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2834977603856216
the lambda is 2.0
the regulation term lambda/alpha is 7.054729452816644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37599479775484124
the lambda is 2.0
the regulation term lambda/alpha is 5.319222531648042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3618897252006358
the lambda is 2.0
the regulation term lambda/alpha is 5.526545410735763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31571705759164703
the lambda is 2.0
the regulation term lambda/alpha is 6.334786011425549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3106966325715516
the lambda is 2.0
the regulation term lambda/alpha is 6.437147333868872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32948410688542157
the lambda is 2.0
the regulation term lambda/alpha is 6.070095516611677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30310914342601963
the lambda is 2.0
the regulation term lambda/alpha is 6.5982833028200725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29911221885974837
the lambda is 2.0
the regulation term lambda/alpha is 6.686453691608587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27446747170488844
the lambda is 2.0
the regulation term lambda/alpha is 7.286837990588663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31648079158714576
the lambda is 2.0
the regulation term lambda/alpha is 6.3194988547963185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29846789292647297
the lambda is 2.0
the regulation term lambda/alpha is 6.700888261012036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35510522013671103
the lambda is 2.0
the regulation term lambda/alpha is 5.632133482098701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35188789229875617
the lambda is 2.0
the regulation term lambda/alpha is 5.683628348036428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37659029156899887
the lambda is 2.0
the regulation term lambda/alpha is 5.310811363902514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.337002734582257
the lambda is 2.0
the regulation term lambda/alpha is 5.934669944085667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3389160591740977
the lambda is 2.0
the regulation term lambda/alpha is 5.901166220549675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.304618645901705
the lambda is 2.0
the regulation term lambda/alpha is 6.565586272894681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.360886431341822
the lambda is 2.0
the regulation term lambda/alpha is 5.541909659955193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30315397453713955
the lambda is 2.0
the regulation term lambda/alpha is 6.597307533419718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26330866587276547
the lambda is 2.0
the regulation term lambda/alpha is 7.595648222859587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3240774475181504
the lambda is 2.0
the regulation term lambda/alpha is 6.171364330706744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27932384516337055
the lambda is 2.0
the regulation term lambda/alpha is 7.160147744744967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3112795586826852
the lambda is 2.0
the regulation term lambda/alpha is 6.42509263526288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3851408963519892
the lambda is 2.0
the regulation term lambda/alpha is 5.19290477574252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35904393045793886
the lambda is 2.0
the regulation term lambda/alpha is 5.570349002834056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30050080844669685
the lambda is 2.0
the regulation term lambda/alpha is 6.655556137562812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3412763784250055
the lambda is 2.0
the regulation term lambda/alpha is 5.860352858964407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34188108078927054
the lambda is 2.0
the regulation term lambda/alpha is 5.849987356371921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2937482528511774
the lambda is 2.0
the regulation term lambda/alpha is 6.808551133794373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3598240938411402
the lambda is 2.0
the regulation term lambda/alpha is 5.558271483851734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28468918949612
the lambda is 2.0
the regulation term lambda/alpha is 7.025205289810479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31558624076506303
the lambda is 2.0
the regulation term lambda/alpha is 6.337411907285566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.284296405334409
the lambda is 2.0
the regulation term lambda/alpha is 7.034911319569667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3700103143104208
the lambda is 2.0
the regulation term lambda/alpha is 5.405254725742852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34761580589079805
the lambda is 2.0
the regulation term lambda/alpha is 5.753478311709138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3122612097788782
the lambda is 2.0
the regulation term lambda/alpha is 6.404894163499404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3132153441803766
the lambda is 2.0
the regulation term lambda/alpha is 6.385383210498865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3688313828024445
the lambda is 2.0
the regulation term lambda/alpha is 5.422532065475706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3075139385514154
the lambda is 2.0
the regulation term lambda/alpha is 6.503770233704727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.296075051290637
the lambda is 2.0
the regulation term lambda/alpha is 6.755044004152631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31539436910028296
the lambda is 2.0
the regulation term lambda/alpha is 6.34126730196657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34928436172292743
the lambda is 2.0
the regulation term lambda/alpha is 5.725993543296725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.357226890736186
the lambda is 2.0
the regulation term lambda/alpha is 5.598682663218125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.354553131818881
the lambda is 2.0
the regulation term lambda/alpha is 5.640903493758095
400
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3727378908459222
the lambda is 2.0
the regulation term lambda/alpha is 5.365700802408456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3236651273093586
the lambda is 2.0
the regulation term lambda/alpha is 6.179226092801784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3310014501153359
the lambda is 2.0
the regulation term lambda/alpha is 6.04226960124528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32783857668936267
the lambda is 2.0
the regulation term lambda/alpha is 6.100563332713168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30118549454253696
the lambda is 2.0
the regulation term lambda/alpha is 6.640426037242429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34800898702854915
the lambda is 2.0
the regulation term lambda/alpha is 5.746978022254146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3608052744585125
the lambda is 2.0
the regulation term lambda/alpha is 5.543156216331787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29842265937436946
the lambda is 2.0
the regulation term lambda/alpha is 6.701903951237871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2919455171819359
the lambda is 2.0
the regulation term lambda/alpha is 6.850593286396075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3012681842768908
the lambda is 2.0
the regulation term lambda/alpha is 6.638603425052782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3001620755175668
the lambda is 2.0
the regulation term lambda/alpha is 6.663066933260699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28847425394192916
the lambda is 2.0
the regulation term lambda/alpha is 6.933027723169385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3290350550688044
the lambda is 2.0
the regulation term lambda/alpha is 6.078379702070895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26348085139656385
the lambda is 2.0
the regulation term lambda/alpha is 7.590684444046406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3156035500727313
the lambda is 2.0
the regulation term lambda/alpha is 6.337064331307735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2887655510734234
the lambda is 2.0
the regulation term lambda/alpha is 6.926033914244387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26962178109094165
the lambda is 2.0
the regulation term lambda/alpha is 7.41779833924253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32697655945639825
the lambda is 2.0
the regulation term lambda/alpha is 6.116646414424996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32782583106059315
the lambda is 2.0
the regulation term lambda/alpha is 6.100800518157866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33519627400298374
the lambda is 2.0
the regulation term lambda/alpha is 5.966653435957337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3226178512882609
the lambda is 2.0
the regulation term lambda/alpha is 6.199284980709231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3040958005560156
the lambda is 2.0
the regulation term lambda/alpha is 6.5768747754594274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24455892290726197
the lambda is 2.0
the regulation term lambda/alpha is 8.177988258307836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26733423837120185
the lambda is 2.0
the regulation term lambda/alpha is 7.4812714307957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2825947890068991
the lambda is 2.0
the regulation term lambda/alpha is 7.077271336207028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3026704554045315
the lambda is 2.0
the regulation term lambda/alpha is 6.607846799341276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34313675969468616
the lambda is 2.0
the regulation term lambda/alpha is 5.828579840234973
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32156797522693376
the lambda is 2.0
the regulation term lambda/alpha is 6.219524809921075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.264940175267401
the lambda is 2.0
the regulation term lambda/alpha is 7.548873997616344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32317020314161066
the lambda is 2.0
the regulation term lambda/alpha is 6.188689367266993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24227664888092115
the lambda is 2.0
the regulation term lambda/alpha is 8.255025852627666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29791281697413735
the lambda is 2.0
the regulation term lambda/alpha is 6.713373463799732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40945906260194725
the lambda is 2.0
the regulation term lambda/alpha is 4.88449318300786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30797346240396456
the lambda is 2.0
the regulation term lambda/alpha is 6.4940660288990335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046784899532062
the lambda is 2.0
the regulation term lambda/alpha is 6.564296679779293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2769373962205267
the lambda is 2.0
the regulation term lambda/alpha is 7.221848790718713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32144972828812785
the lambda is 2.0
the regulation term lambda/alpha is 6.221812694168223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28755385871807665
the lambda is 2.0
the regulation term lambda/alpha is 6.955218785503549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29032496083923887
the lambda is 2.0
the regulation term lambda/alpha is 6.888832411166522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2725654400347559
the lambda is 2.0
the regulation term lambda/alpha is 7.337687418276404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3212530310490991
the lambda is 2.0
the regulation term lambda/alpha is 6.225622194034109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3958573197610955
the lambda is 2.0
the regulation term lambda/alpha is 5.0523254217126095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3142652351996261
the lambda is 2.0
the regulation term lambda/alpha is 6.364051049838743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35369084669260825
the lambda is 2.0
the regulation term lambda/alpha is 5.654655806623671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27906305271829257
the lambda is 2.0
the regulation term lambda/alpha is 7.166839108647435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30446524513035866
the lambda is 2.0
the regulation term lambda/alpha is 6.568894256366397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38607989190968856
the lambda is 2.0
the regulation term lambda/alpha is 5.1802749687565655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29103095068203155
the lambda is 2.0
the regulation term lambda/alpha is 6.872121316694999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31214268771697395
the lambda is 2.0
the regulation term lambda/alpha is 6.407326132250902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31465739107727075
the lambda is 2.0
the regulation term lambda/alpha is 6.356119565959466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3103791925831105
the lambda is 2.0
the regulation term lambda/alpha is 6.443730919444474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29315627203707295
the lambda is 2.0
the regulation term lambda/alpha is 6.822299881569913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.358735222008279
the lambda is 2.0
the regulation term lambda/alpha is 5.575142548879249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31243990015691014
the lambda is 2.0
the regulation term lambda/alpha is 6.401231081547465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3502328011690204
the lambda is 2.0
the regulation term lambda/alpha is 5.710487405303912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3474382974011014
the lambda is 2.0
the regulation term lambda/alpha is 5.7564178012624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34569014190179304
the lambda is 2.0
the regulation term lambda/alpha is 5.785528013605257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27158670728006623
the lambda is 2.0
the regulation term lambda/alpha is 7.364130667623418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3520780507070378
the lambda is 2.0
the regulation term lambda/alpha is 5.680558603365448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36382187207578
the lambda is 2.0
the regulation term lambda/alpha is 5.497195615505553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35876791879841213
the lambda is 2.0
the regulation term lambda/alpha is 5.574634450868442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3004333325639028
the lambda is 2.0
the regulation term lambda/alpha is 6.657050943488755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2755515489713854
the lambda is 2.0
the regulation term lambda/alpha is 7.258170050089936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3395635180939138
the lambda is 2.0
the regulation term lambda/alpha is 5.889914238215826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29090911713587003
the lambda is 2.0
the regulation term lambda/alpha is 6.874999380187503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31512439949607346
the lambda is 2.0
the regulation term lambda/alpha is 6.346699916598875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3360872043427732
the lambda is 2.0
the regulation term lambda/alpha is 5.950836491710683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29568386587437956
the lambda is 2.0
the regulation term lambda/alpha is 6.763980828259646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27146217729899813
the lambda is 2.0
the regulation term lambda/alpha is 7.367508873242141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33029225880046215
the lambda is 2.0
the regulation term lambda/alpha is 6.055243338925028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30849118256864283
the lambda is 2.0
the regulation term lambda/alpha is 6.483167471261442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3407473693412027
the lambda is 2.0
the regulation term lambda/alpha is 5.869451036017618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3255633276719459
the lambda is 2.0
the regulation term lambda/alpha is 6.143198050903637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.321599790237684
the lambda is 2.0
the regulation term lambda/alpha is 6.218909528895727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25392154782606924
the lambda is 2.0
the regulation term lambda/alpha is 7.876448521690474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32506446257070976
the lambda is 2.0
the regulation term lambda/alpha is 6.152625802843488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3239245129485758
the lambda is 2.0
the regulation term lambda/alpha is 6.174278018649077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3861114353210462
the lambda is 2.0
the regulation term lambda/alpha is 5.179851765687872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3174451075382025
the lambda is 2.0
the regulation term lambda/alpha is 6.300301855366641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28290644289277
the lambda is 2.0
the regulation term lambda/alpha is 7.069474910325955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34043243617291824
the lambda is 2.0
the regulation term lambda/alpha is 5.874880850026071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36276764128964395
the lambda is 2.0
the regulation term lambda/alpha is 5.513170890573295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.369311614502953
the lambda is 2.0
the regulation term lambda/alpha is 5.415480914922615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38848689118993
the lambda is 2.0
the regulation term lambda/alpha is 5.1481788584269275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3418336716216489
the lambda is 2.0
the regulation term lambda/alpha is 5.850798695494387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3165551152876399
the lambda is 2.0
the regulation term lambda/alpha is 6.318015105150605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.307565303433288
the lambda is 2.0
the regulation term lambda/alpha is 6.502684072860017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4440196861530391
the lambda is 2.0
the regulation term lambda/alpha is 4.504304791816517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27793713778344303
the lambda is 2.0
the regulation term lambda/alpha is 7.195871757009732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2862065415827718
the lambda is 2.0
the regulation term lambda/alpha is 6.98796047406762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35552325879985397
the lambda is 2.0
the regulation term lambda/alpha is 5.625510991183628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2756172515352094
the lambda is 2.0
the regulation term lambda/alpha is 7.256439823196282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2667630370391512
the lambda is 2.0
the regulation term lambda/alpha is 7.497290562434525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33038475634563214
the lambda is 2.0
the regulation term lambda/alpha is 6.053548057488764
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3944938181878467
the lambda is 2.0
the regulation term lambda/alpha is 5.069787935302087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32724638579752663
the lambda is 2.0
the regulation term lambda/alpha is 6.111603020842641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27398821411755425
the lambda is 2.0
the regulation term lambda/alpha is 7.2995840585387475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33857746449356557
the lambda is 2.0
the regulation term lambda/alpha is 5.907067686833624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34809922132978144
the lambda is 2.0
the regulation term lambda/alpha is 5.745488290263208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34976933656113646
the lambda is 2.0
the regulation term lambda/alpha is 5.718054131513093
410
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2959275805636241
the lambda is 2.0
the regulation term lambda/alpha is 6.758410271157548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3248120878454734
the lambda is 2.0
the regulation term lambda/alpha is 6.15740631226595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30320986528852456
the lambda is 2.0
the regulation term lambda/alpha is 6.596091450048519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32742420791044735
the lambda is 2.0
the regulation term lambda/alpha is 6.1082838460955005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26221546852971894
the lambda is 2.0
the regulation term lambda/alpha is 7.627315090197755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2734233811245176
the lambda is 2.0
the regulation term lambda/alpha is 7.3146634050626265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3107117871085245
the lambda is 2.0
the regulation term lambda/alpha is 6.436833370925339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2930425490175206
the lambda is 2.0
the regulation term lambda/alpha is 6.8249474579898735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28935838980580975
the lambda is 2.0
the regulation term lambda/alpha is 6.911843825721496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32002218998989007
the lambda is 2.0
the regulation term lambda/alpha is 6.249566631811321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30153376705559237
the lambda is 2.0
the regulation term lambda/alpha is 6.632756322880645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3992435148404502
the lambda is 2.0
the regulation term lambda/alpha is 5.009473981810977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3100212197836256
the lambda is 2.0
the regulation term lambda/alpha is 6.451171314647004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24038174111102287
the lambda is 2.0
the regulation term lambda/alpha is 8.320099483247684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33058683735274264
the lambda is 2.0
the regulation term lambda/alpha is 6.04984764673483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28629637397442714
the lambda is 2.0
the regulation term lambda/alpha is 6.985767832947287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3070388488684386
the lambda is 2.0
the regulation term lambda/alpha is 6.5138336968458646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2758128311042246
the lambda is 2.0
the regulation term lambda/alpha is 7.251294263551635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3052013804027408
the lambda is 2.0
the regulation term lambda/alpha is 6.553050308490804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33229966470486216
the lambda is 2.0
the regulation term lambda/alpha is 6.018663912214102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33750959856497925
the lambda is 2.0
the regulation term lambda/alpha is 5.925757396244684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2990472916796562
the lambda is 2.0
the regulation term lambda/alpha is 6.6879054104339755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2545476322919502
the lambda is 2.0
the regulation term lambda/alpha is 7.857075636461333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2915054030353365
the lambda is 2.0
the regulation term lambda/alpha is 6.8609362954331194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35192836066000827
the lambda is 2.0
the regulation term lambda/alpha is 5.6829747856898765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37033541020051325
the lambda is 2.0
the regulation term lambda/alpha is 5.4005097673947144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3114728686293817
the lambda is 2.0
the regulation term lambda/alpha is 6.421105018876552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30109683403373194
the lambda is 2.0
the regulation term lambda/alpha is 6.6423813668394125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.280532813096752
the lambda is 2.0
the regulation term lambda/alpha is 7.129290787492396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2877026528759628
the lambda is 2.0
the regulation term lambda/alpha is 6.95162168303766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2973062884580047
the lambda is 2.0
the regulation term lambda/alpha is 6.727069280549393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3199612034058732
the lambda is 2.0
the regulation term lambda/alpha is 6.250757837858814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27935909808289605
the lambda is 2.0
the regulation term lambda/alpha is 7.159244190452415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2894230744454683
the lambda is 2.0
the regulation term lambda/alpha is 6.9102990624779315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32852137073023757
the lambda is 2.0
the regulation term lambda/alpha is 6.08788401057258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3431551524420753
the lambda is 2.0
the regulation term lambda/alpha is 5.828267434619391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32152122486385026
the lambda is 2.0
the regulation term lambda/alpha is 6.220429151596165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3028966351781756
the lambda is 2.0
the regulation term lambda/alpha is 6.602912570565605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3329581086137615
the lambda is 2.0
the regulation term lambda/alpha is 6.0067616563741435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3637287344765334
the lambda is 2.0
the regulation term lambda/alpha is 5.498603245845658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3034889975989434
the lambda is 2.0
the regulation term lambda/alpha is 6.590024731779479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27950629126399884
the lambda is 2.0
the regulation term lambda/alpha is 7.15547400008597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3935308810585862
the lambda is 2.0
the regulation term lambda/alpha is 5.0821932820622875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.5003993036385106
the lambda is 2.0
the regulation term lambda/alpha is 3.99680811995055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27541234740810444
the lambda is 2.0
the regulation term lambda/alpha is 7.261838544356951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34513955333861485
the lambda is 2.0
the regulation term lambda/alpha is 5.794757455798782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2845140714564268
the lambda is 2.0
the regulation term lambda/alpha is 7.029529294498529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3308668962587991
the lambda is 2.0
the regulation term lambda/alpha is 6.044726814965586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29168951888904493
the lambda is 2.0
the regulation term lambda/alpha is 6.856605638822336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2639099616580685
the lambda is 2.0
the regulation term lambda/alpha is 7.578342202145722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3194749057961655
the lambda is 2.0
the regulation term lambda/alpha is 6.260272602681537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30153424866106715
the lambda is 2.0
the regulation term lambda/alpha is 6.632745729152828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2922651221238694
the lambda is 2.0
the regulation term lambda/alpha is 6.8431018571978255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29973195876733727
the lambda is 2.0
the regulation term lambda/alpha is 6.6726284651963725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29132588120553493
the lambda is 2.0
the regulation term lambda/alpha is 6.865164165036779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27920122500898953
the lambda is 2.0
the regulation term lambda/alpha is 7.1632923528025545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2824493511720263
the lambda is 2.0
the regulation term lambda/alpha is 7.08091554008172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36231954659840526
the lambda is 2.0
the regulation term lambda/alpha is 5.519989243684936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3458119987261886
the lambda is 2.0
the regulation term lambda/alpha is 5.783489316065014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.325274157581685
the lambda is 2.0
the regulation term lambda/alpha is 6.148659379734914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2913146539366382
the lambda is 2.0
the regulation term lambda/alpha is 6.86542874851399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3616630721961651
the lambda is 2.0
the regulation term lambda/alpha is 5.530008877752399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31964722564759035
the lambda is 2.0
the regulation term lambda/alpha is 6.256897728263067
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40087235586472975
the lambda is 2.0
the regulation term lambda/alpha is 4.989119281337722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28363078482353354
the lambda is 2.0
the regulation term lambda/alpha is 7.051420744910815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2963331689567473
the lambda is 2.0
the regulation term lambda/alpha is 6.749160099225746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.40191338252317094
the lambda is 2.0
the regulation term lambda/alpha is 4.976196581074771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33360007535250447
the lambda is 2.0
the regulation term lambda/alpha is 5.995202482753232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3334009463880326
the lambda is 2.0
the regulation term lambda/alpha is 5.99878321182771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30951064472076717
the lambda is 2.0
the regulation term lambda/alpha is 6.461813298228726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3186391134109097
the lambda is 2.0
the regulation term lambda/alpha is 6.276693336831017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3244709049179958
the lambda is 2.0
the regulation term lambda/alpha is 6.16388085861031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31860639738477586
the lambda is 2.0
the regulation term lambda/alpha is 6.27733785767218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33147083257515486
the lambda is 2.0
the regulation term lambda/alpha is 6.033713387275296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31331442595718106
the lambda is 2.0
the regulation term lambda/alpha is 6.383363912753027
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.365588151302034
the lambda is 2.0
the regulation term lambda/alpha is 5.470636815982807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3526086555816427
the lambda is 2.0
the regulation term lambda/alpha is 5.672010508933527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32373085403814006
the lambda is 2.0
the regulation term lambda/alpha is 6.177971531142261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2590091124957574
the lambda is 2.0
the regulation term lambda/alpha is 7.721736045224123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38102483339599164
the lambda is 2.0
the regulation term lambda/alpha is 5.249001704624956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29959310612130857
the lambda is 2.0
the regulation term lambda/alpha is 6.675721033414494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25597739469077885
the lambda is 2.0
the regulation term lambda/alpha is 7.813189920211523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2654547586158833
the lambda is 2.0
the regulation term lambda/alpha is 7.534240525309353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26389806319501774
the lambda is 2.0
the regulation term lambda/alpha is 7.5786838894759985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31754021616013745
the lambda is 2.0
the regulation term lambda/alpha is 6.298414809264311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3684647574720184
the lambda is 2.0
the regulation term lambda/alpha is 5.42792752751091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.368255659350137
the lambda is 2.0
the regulation term lambda/alpha is 5.431009542472238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3273319975616206
the lambda is 2.0
the regulation term lambda/alpha is 6.110004566918325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31588572282727057
the lambda is 2.0
the regulation term lambda/alpha is 6.331403591461523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.342501849534239
the lambda is 2.0
the regulation term lambda/alpha is 5.8393845251339735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32006629866536235
the lambda is 2.0
the regulation term lambda/alpha is 6.248705372417394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2786881971482149
the lambda is 2.0
the regulation term lambda/alpha is 7.176479020158642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3286567249984416
the lambda is 2.0
the regulation term lambda/alpha is 6.085376771187272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32127383265963116
the lambda is 2.0
the regulation term lambda/alpha is 6.225219101858415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25916868716671554
the lambda is 2.0
the regulation term lambda/alpha is 7.71698163796099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34806448339283313
the lambda is 2.0
the regulation term lambda/alpha is 5.746061708177092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.348809931731428
the lambda is 2.0
the regulation term lambda/alpha is 5.7337816904248395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34040331115464395
the lambda is 2.0
the regulation term lambda/alpha is 5.875383506746817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30668104600255336
the lambda is 2.0
the regulation term lambda/alpha is 6.521433346041699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37352375292480217
the lambda is 2.0
the regulation term lambda/alpha is 5.354411826127267
420
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2923271593417382
the lambda is 2.0
the regulation term lambda/alpha is 6.841649624699931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36549431541288563
the lambda is 2.0
the regulation term lambda/alpha is 5.472041330494218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2718049425727375
the lambda is 2.0
the regulation term lambda/alpha is 7.358217923004772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2788172810640279
the lambda is 2.0
the regulation term lambda/alpha is 7.173156528775983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28993545026284967
the lambda is 2.0
the regulation term lambda/alpha is 6.898087136936308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2974776921296138
the lambda is 2.0
the regulation term lambda/alpha is 6.723193210496542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33242311067590546
the lambda is 2.0
the regulation term lambda/alpha is 6.016428869621799
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25048189348092215
the lambda is 2.0
the regulation term lambda/alpha is 7.984609075754728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3432505853153956
the lambda is 2.0
the regulation term lambda/alpha is 5.826647019879955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28657436938230396
the lambda is 2.0
the regulation term lambda/alpha is 6.978991192795418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37523687926537325
the lambda is 2.0
the regulation term lambda/alpha is 5.329966510529392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3563398629598587
the lambda is 2.0
the regulation term lambda/alpha is 5.612619321867164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.352771799953087
the lambda is 2.0
the regulation term lambda/alpha is 5.6693874064365914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2625066694468864
the lambda is 2.0
the regulation term lambda/alpha is 7.618854043648079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30583112439311333
the lambda is 2.0
the regulation term lambda/alpha is 6.539556769994453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31561993947189904
the lambda is 2.0
the regulation term lambda/alpha is 6.336735262500956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2745824015096871
the lambda is 2.0
the regulation term lambda/alpha is 7.28378799589398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2984669028795036
the lambda is 2.0
the regulation term lambda/alpha is 6.700910488582499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32766777533574615
the lambda is 2.0
the regulation term lambda/alpha is 6.103743335610869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34402394601633635
the lambda is 2.0
the regulation term lambda/alpha is 5.813548804259771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4044223436918989
the lambda is 2.0
the regulation term lambda/alpha is 4.945325180954048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28277084323538726
the lambda is 2.0
the regulation term lambda/alpha is 7.072864999504697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3021486130848155
the lambda is 2.0
the regulation term lambda/alpha is 6.6192592432604815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3672004427710556
the lambda is 2.0
the regulation term lambda/alpha is 5.446616526132492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28601084760388107
the lambda is 2.0
the regulation term lambda/alpha is 6.992741767507915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32434866945809093
the lambda is 2.0
the regulation term lambda/alpha is 6.166203805742511
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34215255558261365
the lambda is 2.0
the regulation term lambda/alpha is 5.845345789086455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3019629342948413
the lambda is 2.0
the regulation term lambda/alpha is 6.6233294648248755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31832048287948544
the lambda is 2.0
the regulation term lambda/alpha is 6.282976143753809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32196732970337955
the lambda is 2.0
the regulation term lambda/alpha is 6.21181037791179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2976562358434317
the lambda is 2.0
the regulation term lambda/alpha is 6.719160424550982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31341480545770734
the lambda is 2.0
the regulation term lambda/alpha is 6.381319469191072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32650783545316214
the lambda is 2.0
the regulation term lambda/alpha is 6.125427272592672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3897436601684349
the lambda is 2.0
the regulation term lambda/alpha is 5.1315780201162555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3500896856076451
the lambda is 2.0
the regulation term lambda/alpha is 5.712821834578279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34346410116781556
the lambda is 2.0
the regulation term lambda/alpha is 5.82302486111294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28720917502511983
the lambda is 2.0
the regulation term lambda/alpha is 6.963565839514271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33114282972438797
the lambda is 2.0
the regulation term lambda/alpha is 6.039689887486349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3539580308354239
the lambda is 2.0
the regulation term lambda/alpha is 5.650387406889827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3304058655975335
the lambda is 2.0
the regulation term lambda/alpha is 6.053161303244521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3708004197577304
the lambda is 2.0
the regulation term lambda/alpha is 5.39373715193402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3432139541568074
the lambda is 2.0
the regulation term lambda/alpha is 5.827268896783378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3314948705147605
the lambda is 2.0
the regulation term lambda/alpha is 6.033275860028566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32185856834893983
the lambda is 2.0
the regulation term lambda/alpha is 6.213909451780446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2618775646543226
the lambda is 2.0
the regulation term lambda/alpha is 7.637156709624945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3226242349712082
the lambda is 2.0
the regulation term lambda/alpha is 6.1991623170481445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3273558715337963
the lambda is 2.0
the regulation term lambda/alpha is 6.10955896599374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34191535025510844
the lambda is 2.0
the regulation term lambda/alpha is 5.849401024282088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3379884411865978
the lambda is 2.0
the regulation term lambda/alpha is 5.917362123327268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29200640826169005
the lambda is 2.0
the regulation term lambda/alpha is 6.849164756027004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2828739485445192
the lambda is 2.0
the regulation term lambda/alpha is 7.070286996348257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29702864518694166
the lambda is 2.0
the regulation term lambda/alpha is 6.733357312192078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29267664694506895
the lambda is 2.0
the regulation term lambda/alpha is 6.833479954331205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3230339476092093
the lambda is 2.0
the regulation term lambda/alpha is 6.191299752865301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3616285547506711
the lambda is 2.0
the regulation term lambda/alpha is 5.53053671709891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3725590315491351
the lambda is 2.0
the regulation term lambda/alpha is 5.36827678471198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3904288188413709
the lambda is 2.0
the regulation term lambda/alpha is 5.122572677742288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30499592076512405
the lambda is 2.0
the regulation term lambda/alpha is 6.557464752258738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3184000016575125
the lambda is 2.0
the regulation term lambda/alpha is 6.281407002476412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2563114263352532
the lambda is 2.0
the regulation term lambda/alpha is 7.803007570111277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2854976369854571
the lambda is 2.0
the regulation term lambda/alpha is 7.005311921730118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31057838993825604
the lambda is 2.0
the regulation term lambda/alpha is 6.439598068615161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2752532384304706
the lambda is 2.0
the regulation term lambda/alpha is 7.266036219607288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37783496534859723
the lambda is 2.0
the regulation term lambda/alpha is 5.293316350843191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39881823190635013
the lambda is 2.0
the regulation term lambda/alpha is 5.01481587348704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30109358385542523
the lambda is 2.0
the regulation term lambda/alpha is 6.642453068546061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34544766168644314
the lambda is 2.0
the regulation term lambda/alpha is 5.789589051598113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3750337175611836
the lambda is 2.0
the regulation term lambda/alpha is 5.332853837798509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29317691438455706
the lambda is 2.0
the regulation term lambda/alpha is 6.8218195289981844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3764511323735072
the lambda is 2.0
the regulation term lambda/alpha is 5.312774562238905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3291352377720989
the lambda is 2.0
the regulation term lambda/alpha is 6.076529555260953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3264381508026951
the lambda is 2.0
the regulation term lambda/alpha is 6.1267348656463705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35869722437343365
the lambda is 2.0
the regulation term lambda/alpha is 5.57573313675222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3143360827874453
the lambda is 2.0
the regulation term lambda/alpha is 6.362616668963213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34815960412558233
the lambda is 2.0
the regulation term lambda/alpha is 5.744491825877057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.291670179095735
the lambda is 2.0
the regulation term lambda/alpha is 6.85706028021308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3519476736242691
the lambda is 2.0
the regulation term lambda/alpha is 5.682662935101972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2902397636744967
the lambda is 2.0
the regulation term lambda/alpha is 6.89085456341191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30106122810586033
the lambda is 2.0
the regulation term lambda/alpha is 6.64316694840809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31750364040371015
the lambda is 2.0
the regulation term lambda/alpha is 6.299140373499255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.360931958418753
the lambda is 2.0
the regulation term lambda/alpha is 5.541210616987265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32783005983809793
the lambda is 2.0
the regulation term lambda/alpha is 6.1007218221163715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33874931561408655
the lambda is 2.0
the regulation term lambda/alpha is 5.904070968746872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30925557530075604
the lambda is 2.0
the regulation term lambda/alpha is 6.467142906170626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27522871504503366
the lambda is 2.0
the regulation term lambda/alpha is 7.266683636817309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3379856140210066
the lambda is 2.0
the regulation term lambda/alpha is 5.917411620589554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3410361510801578
the lambda is 2.0
the regulation term lambda/alpha is 5.86448091695099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3246221973917825
the lambda is 2.0
the regulation term lambda/alpha is 6.161008138288907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31317357240251614
the lambda is 2.0
the regulation term lambda/alpha is 6.386234906914296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3351985855122395
the lambda is 2.0
the regulation term lambda/alpha is 5.966612290274631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3286655392423923
the lambda is 2.0
the regulation term lambda/alpha is 6.085213571858507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34551235520685697
the lambda is 2.0
the regulation term lambda/alpha is 5.7885050125128155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3645369086970757
the lambda is 2.0
the regulation term lambda/alpha is 5.486412904384307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3404849152466725
the lambda is 2.0
the regulation term lambda/alpha is 5.873975352332574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31460267075173187
the lambda is 2.0
the regulation term lambda/alpha is 6.357225115797877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2772048188999814
the lambda is 2.0
the regulation term lambda/alpha is 7.214881790065931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3398446000959227
the lambda is 2.0
the regulation term lambda/alpha is 5.885042750231991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33115069167670824
the lambda is 2.0
the regulation term lambda/alpha is 6.039546497316501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28120013079694817
the lambda is 2.0
the regulation term lambda/alpha is 7.112372225189967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37644831493009
the lambda is 2.0
the regulation term lambda/alpha is 5.312814324514691
430
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4286540392290572
the lambda is 2.0
the regulation term lambda/alpha is 4.6657673017546735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30089486959041123
the lambda is 2.0
the regulation term lambda/alpha is 6.646839817250693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28392593751999556
the lambda is 2.0
the regulation term lambda/alpha is 7.044090502859216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32125757994698606
the lambda is 2.0
the regulation term lambda/alpha is 6.225534041344768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31661569182241484
the lambda is 2.0
the regulation term lambda/alpha is 6.316806310161566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2858867788972977
the lambda is 2.0
the regulation term lambda/alpha is 6.9957764668735605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30808182248186733
the lambda is 2.0
the regulation term lambda/alpha is 6.49178190354841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30317075871413646
the lambda is 2.0
the regulation term lambda/alpha is 6.596942292465037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3058792736387225
the lambda is 2.0
the regulation term lambda/alpha is 6.538527361491719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3898835117137726
the lambda is 2.0
the regulation term lambda/alpha is 5.129737318741172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31684785189410225
the lambda is 2.0
the regulation term lambda/alpha is 6.312177873525384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3744238845925697
the lambda is 2.0
the regulation term lambda/alpha is 5.341539582006915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3347521063272861
the lambda is 2.0
the regulation term lambda/alpha is 5.974570322926083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3406699955165829
the lambda is 2.0
the regulation term lambda/alpha is 5.870784120471934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36791372418857715
the lambda is 2.0
the regulation term lambda/alpha is 5.436057065854069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30499270702930803
the lambda is 2.0
the regulation term lambda/alpha is 6.5575338488595785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.363054647566404
the lambda is 2.0
the regulation term lambda/alpha is 5.508812553168577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32726999639874044
the lambda is 2.0
the regulation term lambda/alpha is 6.111162104708287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3449416594511874
the lambda is 2.0
the regulation term lambda/alpha is 5.7980819225548474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3408160960823971
the lambda is 2.0
the regulation term lambda/alpha is 5.868267440973421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36868068466179443
the lambda is 2.0
the regulation term lambda/alpha is 5.424748524145441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2982783860375333
the lambda is 2.0
the regulation term lambda/alpha is 6.705145574136014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28098606234725915
the lambda is 2.0
the regulation term lambda/alpha is 7.117790766177868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3513246697020876
the lambda is 2.0
the regulation term lambda/alpha is 5.692739999431119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3122872969742032
the lambda is 2.0
the regulation term lambda/alpha is 6.404359125005369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34002676393121256
the lambda is 2.0
the regulation term lambda/alpha is 5.881889933830621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3641770148137045
the lambda is 2.0
the regulation term lambda/alpha is 5.49183479089998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3308471704783126
the lambda is 2.0
the regulation term lambda/alpha is 6.045087213859374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33843322584449803
the lambda is 2.0
the regulation term lambda/alpha is 5.9095852512984415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30326346296227463
the lambda is 2.0
the regulation term lambda/alpha is 6.5949256810036365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2993928867479397
the lambda is 2.0
the regulation term lambda/alpha is 6.680185430336592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3190844622970022
the lambda is 2.0
the regulation term lambda/alpha is 6.267932902788636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29484961346217353
the lambda is 2.0
the regulation term lambda/alpha is 6.783118948387502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.327325343625063
the lambda is 2.0
the regulation term lambda/alpha is 6.110128772341299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2848917442153438
the lambda is 2.0
the regulation term lambda/alpha is 7.02021045049393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2808723120279117
the lambda is 2.0
the regulation term lambda/alpha is 7.120673396248648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30492729546498765
the lambda is 2.0
the regulation term lambda/alpha is 6.558940540072589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3089581355943558
the lambda is 2.0
the regulation term lambda/alpha is 6.473368944153277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3673956034346179
the lambda is 2.0
the regulation term lambda/alpha is 5.443723281669379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28199974293711727
the lambda is 2.0
the regulation term lambda/alpha is 7.092205046605228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3434193207937356
the lambda is 2.0
the regulation term lambda/alpha is 5.823784158030058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3323733260292964
the lambda is 2.0
the regulation term lambda/alpha is 6.01733004237444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3758422395648347
the lambda is 2.0
the regulation term lambda/alpha is 5.321381658207658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3047465855784053
the lambda is 2.0
the regulation term lambda/alpha is 6.5628298876721605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32219578296129947
the lambda is 2.0
the regulation term lambda/alpha is 6.207405887246606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28900058709554655
the lambda is 2.0
the regulation term lambda/alpha is 6.920401166308979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2781783667838609
the lambda is 2.0
the regulation term lambda/alpha is 7.189631685320665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2924692144221707
the lambda is 2.0
the regulation term lambda/alpha is 6.83832657037557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28438435831726483
the lambda is 2.0
the regulation term lambda/alpha is 7.032735597113117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3649672372656943
the lambda is 2.0
the regulation term lambda/alpha is 5.479943939581651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.42683741051865304
the lambda is 2.0
the regulation term lambda/alpha is 4.685624902395004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3075726343867079
the lambda is 2.0
the regulation term lambda/alpha is 6.502529082237598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3062434576812443
the lambda is 2.0
the regulation term lambda/alpha is 6.5307517592154225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3612454314775227
the lambda is 2.0
the regulation term lambda/alpha is 5.536402195648095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28914926759031534
the lambda is 2.0
the regulation term lambda/alpha is 6.9168426974324015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3811247974941877
the lambda is 2.0
the regulation term lambda/alpha is 5.247624959460952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3102287578725167
the lambda is 2.0
the regulation term lambda/alpha is 6.4468555839747985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.268102589887674
the lambda is 2.0
the regulation term lambda/alpha is 7.459830958134098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31531676445576545
the lambda is 2.0
the regulation term lambda/alpha is 6.342827992200117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3701275318100733
the lambda is 2.0
the regulation term lambda/alpha is 5.403542909167528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2928438266842333
the lambda is 2.0
the regulation term lambda/alpha is 6.829578832667535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3460705972131784
the lambda is 2.0
the regulation term lambda/alpha is 5.779167649911634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3411350389047176
the lambda is 2.0
the regulation term lambda/alpha is 5.862780928108121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37048107841460926
the lambda is 2.0
the regulation term lambda/alpha is 5.398386359051187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32708259468086204
the lambda is 2.0
the regulation term lambda/alpha is 6.11466349027658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28795130688645193
the lambda is 2.0
the regulation term lambda/alpha is 6.945618763205203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3361791727895903
the lambda is 2.0
the regulation term lambda/alpha is 5.949208522955618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.351166553265982
the lambda is 2.0
the regulation term lambda/alpha is 5.695303215523353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3248988637466009
the lambda is 2.0
the regulation term lambda/alpha is 6.155761755940965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31977552027770373
the lambda is 2.0
the regulation term lambda/alpha is 6.254387447366619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124888738183148
the lambda is 2.0
the regulation term lambda/alpha is 6.400227872314029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32552923889142527
the lambda is 2.0
the regulation term lambda/alpha is 6.143841354499852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37713175733690885
the lambda is 2.0
the regulation term lambda/alpha is 5.3031863827190495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33067979502176914
the lambda is 2.0
the regulation term lambda/alpha is 6.048146969089348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30838874770783076
the lambda is 2.0
the regulation term lambda/alpha is 6.485320929720857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3593722731208978
the lambda is 2.0
the regulation term lambda/alpha is 5.565259619589996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2963670054682547
the lambda is 2.0
the regulation term lambda/alpha is 6.748389541001823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27621281333872233
the lambda is 2.0
the regulation term lambda/alpha is 7.240793704770609
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28938824212631925
the lambda is 2.0
the regulation term lambda/alpha is 6.911130823093328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3212053425472693
the lambda is 2.0
the regulation term lambda/alpha is 6.226546495582263
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3238220651994154
the lambda is 2.0
the regulation term lambda/alpha is 6.1762313780821705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25839311051908853
the lambda is 2.0
the regulation term lambda/alpha is 7.7401444488290725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3120292386382185
the lambda is 2.0
the regulation term lambda/alpha is 6.409655738444738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34097672019326286
the lambda is 2.0
the regulation term lambda/alpha is 5.865503072662603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2985909897429266
the lambda is 2.0
the regulation term lambda/alpha is 6.69812575966177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2474357598544604
the lambda is 2.0
the regulation term lambda/alpha is 8.082906048731125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35875812044854655
the lambda is 2.0
the regulation term lambda/alpha is 5.574786704477793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3541178676477052
the lambda is 2.0
the regulation term lambda/alpha is 5.647837013380256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4221384799717256
the lambda is 2.0
the regulation term lambda/alpha is 4.737781782257704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3437875341135725
the lambda is 2.0
the regulation term lambda/alpha is 5.81754659940429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3314476906277701
the lambda is 2.0
the regulation term lambda/alpha is 6.034134666052283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33881285746362605
the lambda is 2.0
the regulation term lambda/alpha is 5.902963703833802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33297852361911257
the lambda is 2.0
the regulation term lambda/alpha is 6.0063933801561324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3419919026469291
the lambda is 2.0
the regulation term lambda/alpha is 5.848091678547112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31510908128956494
the lambda is 2.0
the regulation term lambda/alpha is 6.3470084448696955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33013453866270637
the lambda is 2.0
the regulation term lambda/alpha is 6.058136201384766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3240999601945976
the lambda is 2.0
the regulation term lambda/alpha is 6.170935654540503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31377736570519926
the lambda is 2.0
the regulation term lambda/alpha is 6.3739460477179355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28482442463074814
the lambda is 2.0
the regulation term lambda/alpha is 7.0218697100602885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26882580450339444
the lambda is 2.0
the regulation term lambda/alpha is 7.439761981535319
440
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30777159704458545
the lambda is 2.0
the regulation term lambda/alpha is 6.498325443950142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37670795586962263
the lambda is 2.0
the regulation term lambda/alpha is 5.309152538026549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33626795832746464
the lambda is 2.0
the regulation term lambda/alpha is 5.9476377408886485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3568933184145491
the lambda is 2.0
the regulation term lambda/alpha is 5.603915503054899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27530556519219684
the lambda is 2.0
the regulation term lambda/alpha is 7.26465517906896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30056258533827046
the lambda is 2.0
the regulation term lambda/alpha is 6.654188170989695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35128392188331464
the lambda is 2.0
the regulation term lambda/alpha is 5.693400339183006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2940240939685808
the lambda is 2.0
the regulation term lambda/alpha is 6.802163635656738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3224344890255567
the lambda is 2.0
the regulation term lambda/alpha is 6.202810394273538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3476990638132591
the lambda is 2.0
the regulation term lambda/alpha is 5.752100618465146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31150354816519144
the lambda is 2.0
the regulation term lambda/alpha is 6.420472613491365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3151933896980119
the lambda is 2.0
the regulation term lambda/alpha is 6.345310737373675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2976050571770293
the lambda is 2.0
the regulation term lambda/alpha is 6.72031590783858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.276359321944001
the lambda is 2.0
the regulation term lambda/alpha is 7.23695508416851
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27490311324769
the lambda is 2.0
the regulation term lambda/alpha is 7.275290470057294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.44854044725564873
the lambda is 2.0
the regulation term lambda/alpha is 4.458906687762065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.286409469456141
the lambda is 2.0
the regulation term lambda/alpha is 6.9830093390339805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3507451316288394
the lambda is 2.0
the regulation term lambda/alpha is 5.702146144444314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2955393049747611
the lambda is 2.0
the regulation term lambda/alpha is 6.767289380242668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33352722446379407
the lambda is 2.0
the regulation term lambda/alpha is 5.996511988535165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35396425821607835
the lambda is 2.0
the regulation term lambda/alpha is 5.650287998228045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2936100838321731
the lambda is 2.0
the regulation term lambda/alpha is 6.811755147834758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25608590659925773
the lambda is 2.0
the regulation term lambda/alpha is 7.809879218108432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28688535812774807
the lambda is 2.0
the regulation term lambda/alpha is 6.9714258442893895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2998357396853094
the lambda is 2.0
the regulation term lambda/alpha is 6.670318895602928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3994761015743418
the lambda is 2.0
the regulation term lambda/alpha is 5.006557318743142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33689339046536915
the lambda is 2.0
the regulation term lambda/alpha is 5.936596135760608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34739872963755325
the lambda is 2.0
the regulation term lambda/alpha is 5.757073441479284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32723949491048887
the lambda is 2.0
the regulation term lambda/alpha is 6.111731716695957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28215484084201453
the lambda is 2.0
the regulation term lambda/alpha is 7.088306527123699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35393001440298855
the lambda is 2.0
the regulation term lambda/alpha is 5.650834680900441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34883838981610665
the lambda is 2.0
the regulation term lambda/alpha is 5.73331393099916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2928062432705021
the lambda is 2.0
the regulation term lambda/alpha is 6.830455449518361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30422724150072206
the lambda is 2.0
the regulation term lambda/alpha is 6.5740332461163025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2663610631499034
the lambda is 2.0
the regulation term lambda/alpha is 7.50860496030696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3675065319780509
the lambda is 2.0
the regulation term lambda/alpha is 5.442080142726413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34079930158083077
the lambda is 2.0
the regulation term lambda/alpha is 5.868556627677361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31214051519632097
the lambda is 2.0
the regulation term lambda/alpha is 6.407370727706074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30375190817921754
the lambda is 2.0
the regulation term lambda/alpha is 6.58432077674381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3098520818153335
the lambda is 2.0
the regulation term lambda/alpha is 6.45469279497036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3345819666374588
the lambda is 2.0
the regulation term lambda/alpha is 5.977608476930047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.41640462862251426
the lambda is 2.0
the regulation term lambda/alpha is 4.803020577883806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3575666600857399
the lambda is 2.0
the regulation term lambda/alpha is 5.59336264605997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23403754832876664
the lambda is 2.0
the regulation term lambda/alpha is 8.54563728889554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29739525030788705
the lambda is 2.0
the regulation term lambda/alpha is 6.72505696687974
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2599408634996093
the lambda is 2.0
the regulation term lambda/alpha is 7.694057690944794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3019867193698204
the lambda is 2.0
the regulation term lambda/alpha is 6.622807798215624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3060342438454904
the lambda is 2.0
the regulation term lambda/alpha is 6.535216369478423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3300666531127602
the lambda is 2.0
the regulation term lambda/alpha is 6.059382191865177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30977014486157767
the lambda is 2.0
the regulation term lambda/alpha is 6.456400118525657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29795733799052176
the lambda is 2.0
the regulation term lambda/alpha is 6.712370346333345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3183043506635801
the lambda is 2.0
the regulation term lambda/alpha is 6.283294575869072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2907473602618713
the lambda is 2.0
the regulation term lambda/alpha is 6.878824276164135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27351193247848005
the lambda is 2.0
the regulation term lambda/alpha is 7.3122952328866315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2946107309947399
the lambda is 2.0
the regulation term lambda/alpha is 6.788618979516088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28683803114543166
the lambda is 2.0
the regulation term lambda/alpha is 6.972576098132422
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3143493237241878
the lambda is 2.0
the regulation term lambda/alpha is 6.362348664553876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2903890706612547
the lambda is 2.0
the regulation term lambda/alpha is 6.887311548763639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41496351204032456
the lambda is 2.0
the regulation term lambda/alpha is 4.819700870002391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3373546682401255
the lambda is 2.0
the regulation term lambda/alpha is 5.928478803727184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3449314583783477
the lambda is 2.0
the regulation term lambda/alpha is 5.798253396204426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2857095013912312
the lambda is 2.0
the regulation term lambda/alpha is 7.000117217877665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28462495564477314
the lambda is 2.0
the regulation term lambda/alpha is 7.026790730522255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34893048367918705
the lambda is 2.0
the regulation term lambda/alpha is 5.731800726928851
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38938614873053656
the lambda is 2.0
the regulation term lambda/alpha is 5.136289532949058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36686954082687023
the lambda is 2.0
the regulation term lambda/alpha is 5.451529160726434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27520590909990883
the lambda is 2.0
the regulation term lambda/alpha is 7.267285817158577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31035441802489344
the lambda is 2.0
the regulation term lambda/alpha is 6.444245300995137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25811198337353897
the lambda is 2.0
the regulation term lambda/alpha is 7.748574761465473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25528267400895815
the lambda is 2.0
the regulation term lambda/alpha is 7.834452564257525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39123437878205536
the lambda is 2.0
the regulation term lambda/alpha is 5.112025191206774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2771670609691665
the lambda is 2.0
the regulation term lambda/alpha is 7.215864659410197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.43883488067417675
the lambda is 2.0
the regulation term lambda/alpha is 4.557522859002056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3695206223984371
the lambda is 2.0
the regulation term lambda/alpha is 5.4124178158681815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28676587961421085
the lambda is 2.0
the regulation term lambda/alpha is 6.9743304283292735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.299037496106018
the lambda is 2.0
the regulation term lambda/alpha is 6.688124486204695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3476026453299213
the lambda is 2.0
the regulation term lambda/alpha is 5.753696143772822
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33770279224496924
the lambda is 2.0
the regulation term lambda/alpha is 5.922367377256395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30270389491500127
the lambda is 2.0
the regulation term lambda/alpha is 6.607116834626778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34006606041240295
the lambda is 2.0
the regulation term lambda/alpha is 5.881210249486736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35084874686484974
the lambda is 2.0
the regulation term lambda/alpha is 5.700462144647246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3414915374856013
the lambda is 2.0
the regulation term lambda/alpha is 5.856660503876552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2680292276485507
the lambda is 2.0
the regulation term lambda/alpha is 7.461872787330753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3261060113109224
the lambda is 2.0
the regulation term lambda/alpha is 6.132974954862518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34937396827459816
the lambda is 2.0
the regulation term lambda/alpha is 5.724524954956163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3044130716003195
the lambda is 2.0
the regulation term lambda/alpha is 6.5700201029011955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3643541421088275
the lambda is 2.0
the regulation term lambda/alpha is 5.489164987735004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27462977789417636
the lambda is 2.0
the regulation term lambda/alpha is 7.2825314695869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27443888943711275
the lambda is 2.0
the regulation term lambda/alpha is 7.2875969003594765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33835302863644906
the lambda is 2.0
the regulation term lambda/alpha is 5.91098595469924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31634307373686565
the lambda is 2.0
the regulation term lambda/alpha is 6.322250006534365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31347137151105703
the lambda is 2.0
the regulation term lambda/alpha is 6.380167957154117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2784857874002322
the lambda is 2.0
the regulation term lambda/alpha is 7.18169504688458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34361809036084096
the lambda is 2.0
the regulation term lambda/alpha is 5.820415327667282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29202582242718356
the lambda is 2.0
the regulation term lambda/alpha is 6.848709416780082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2848690411752744
the lambda is 2.0
the regulation term lambda/alpha is 7.020769936068408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3459842395890959
the lambda is 2.0
the regulation term lambda/alpha is 5.780610129453516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3372443323360021
the lambda is 2.0
the regulation term lambda/alpha is 5.930418418440215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32630058903278203
the lambda is 2.0
the regulation term lambda/alpha is 6.129317773922463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4250893840954716
the lambda is 2.0
the regulation term lambda/alpha is 4.704892840962635
450
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26845295061632035
the lambda is 2.0
the regulation term lambda/alpha is 7.450095055421648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35447413128348815
the lambda is 2.0
the regulation term lambda/alpha is 5.642160664188254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30999321539103525
the lambda is 2.0
the regulation term lambda/alpha is 6.451754105254003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26647468656162754
the lambda is 2.0
the regulation term lambda/alpha is 7.5054033304490275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33896125312564923
the lambda is 2.0
the regulation term lambda/alpha is 5.900379413745624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2925458457176649
the lambda is 2.0
the regulation term lambda/alpha is 6.836535296181214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3423599174750292
the lambda is 2.0
the regulation term lambda/alpha is 5.841805357211171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3250784486855648
the lambda is 2.0
the regulation term lambda/alpha is 6.152361093412621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3586462841943855
the lambda is 2.0
the regulation term lambda/alpha is 5.5765250837396225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34786597232891453
the lambda is 2.0
the regulation term lambda/alpha is 5.749340720537502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2738098743635754
the lambda is 2.0
the regulation term lambda/alpha is 7.304338474456631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27275851513761945
the lambda is 2.0
the regulation term lambda/alpha is 7.3324933558569425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3121572655469549
the lambda is 2.0
the regulation term lambda/alpha is 6.407026908361865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3101048975715032
the lambda is 2.0
the regulation term lambda/alpha is 6.449430549670196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31995628426311096
the lambda is 2.0
the regulation term lambda/alpha is 6.250853939644242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.4036425875871785
the lambda is 2.0
the regulation term lambda/alpha is 4.954878552224227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3248922006742505
the lambda is 2.0
the regulation term lambda/alpha is 6.155888001772247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2835172051908455
the lambda is 2.0
the regulation term lambda/alpha is 7.054245609728443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2823355333298282
the lambda is 2.0
the regulation term lambda/alpha is 7.083770067523074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3678871805225039
the lambda is 2.0
the regulation term lambda/alpha is 5.436449286325862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34507158971082186
the lambda is 2.0
the regulation term lambda/alpha is 5.795898763140852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2484388993880344
the lambda is 2.0
the regulation term lambda/alpha is 8.050269120200129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2962063117637658
the lambda is 2.0
the regulation term lambda/alpha is 6.7520505828892174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010695657528097
the lambda is 2.0
the regulation term lambda/alpha is 6.642982976373244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2818494016056728
the lambda is 2.0
the regulation term lambda/alpha is 7.095988100759359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3012999490955032
the lambda is 2.0
the regulation term lambda/alpha is 6.637903544305144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32937212026246987
the lambda is 2.0
the regulation term lambda/alpha is 6.072159350968264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3220810759229458
the lambda is 2.0
the regulation term lambda/alpha is 6.209616613670518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30580074946902497
the lambda is 2.0
the regulation term lambda/alpha is 6.540206338515149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3744321473202828
the lambda is 2.0
the regulation term lambda/alpha is 5.341421708348228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3478561918169406
the lambda is 2.0
the regulation term lambda/alpha is 5.749502372096629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3233190971947414
the lambda is 2.0
the regulation term lambda/alpha is 6.185839368453268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2631073749926384
the lambda is 2.0
the regulation term lambda/alpha is 7.60145929035991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3372448947226689
the lambda is 2.0
the regulation term lambda/alpha is 5.930408528925803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.22896513544120178
the lambda is 2.0
the regulation term lambda/alpha is 8.734954324579254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33136055430568156
the lambda is 2.0
the regulation term lambda/alpha is 6.035721433985143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2882720087499372
the lambda is 2.0
the regulation term lambda/alpha is 6.937891780311243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3530146356839637
the lambda is 2.0
the regulation term lambda/alpha is 5.665487483613852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2874806003535498
the lambda is 2.0
the regulation term lambda/alpha is 6.956991176240614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31874141568421205
the lambda is 2.0
the regulation term lambda/alpha is 6.274678788468042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3113898048065293
the lambda is 2.0
the regulation term lambda/alpha is 6.422817860856514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35684936539549217
the lambda is 2.0
the regulation term lambda/alpha is 5.604605735485679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3595771447298184
the lambda is 2.0
the regulation term lambda/alpha is 5.562088773753332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37320642123555425
the lambda is 2.0
the regulation term lambda/alpha is 5.358964600283962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3434944174006322
the lambda is 2.0
the regulation term lambda/alpha is 5.8225109308467005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30120336579014767
the lambda is 2.0
the regulation term lambda/alpha is 6.640032041983973
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35322619373661474
the lambda is 2.0
the regulation term lambda/alpha is 5.662094248568984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32411761260947985
the lambda is 2.0
the regulation term lambda/alpha is 6.170599566922466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3717818009900698
the lambda is 2.0
the regulation term lambda/alpha is 5.379499466283503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.309187486786194
the lambda is 2.0
the regulation term lambda/alpha is 6.4685670846149685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33989845988993833
the lambda is 2.0
the regulation term lambda/alpha is 5.884110215290811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2917838177186025
the lambda is 2.0
the regulation term lambda/alpha is 6.8543897178314666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2972829924205558
the lambda is 2.0
the regulation term lambda/alpha is 6.7275964350179525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31430950807265
the lambda is 2.0
the regulation term lambda/alpha is 6.3631546250828555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3094647240526041
the lambda is 2.0
the regulation term lambda/alpha is 6.462772149952806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.299933926729538
the lambda is 2.0
the regulation term lambda/alpha is 6.668135285020548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34846600574556186
the lambda is 2.0
the regulation term lambda/alpha is 5.739440769038265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3647741759153671
the lambda is 2.0
the regulation term lambda/alpha is 5.482844269283001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3477745391719904
the lambda is 2.0
the regulation term lambda/alpha is 5.750852275620178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2952147983554864
the lambda is 2.0
the regulation term lambda/alpha is 6.774728134026927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30309886482770715
the lambda is 2.0
the regulation term lambda/alpha is 6.598507061835667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30140715091335174
the lambda is 2.0
the regulation term lambda/alpha is 6.635542633741156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.387407510054459
the lambda is 2.0
the regulation term lambda/alpha is 5.162522532717174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28384300332067675
the lambda is 2.0
the regulation term lambda/alpha is 7.046148668813457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3049901658106741
the lambda is 2.0
the regulation term lambda/alpha is 6.557588487103946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3419250274891979
the lambda is 2.0
the regulation term lambda/alpha is 5.849235473303235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30261196623906006
the lambda is 2.0
the regulation term lambda/alpha is 6.609123971059434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3133255896222792
the lambda is 2.0
the regulation term lambda/alpha is 6.383136476056882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31936343992989397
the lambda is 2.0
the regulation term lambda/alpha is 6.262457595143126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3582222843457134
the lambda is 2.0
the regulation term lambda/alpha is 5.583125582633599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3155627258226123
the lambda is 2.0
the regulation term lambda/alpha is 6.337884155317706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2944272861867983
the lambda is 2.0
the regulation term lambda/alpha is 6.792848672086416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34353165708883754
the lambda is 2.0
the regulation term lambda/alpha is 5.821879756143693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3345403628672961
the lambda is 2.0
the regulation term lambda/alpha is 5.978351858228092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2300158112700372
the lambda is 2.0
the regulation term lambda/alpha is 8.695054435418841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34789405673500096
the lambda is 2.0
the regulation term lambda/alpha is 5.748876594127754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2916992790882265
the lambda is 2.0
the regulation term lambda/alpha is 6.856376218177371
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.347526262973547
the lambda is 2.0
the regulation term lambda/alpha is 5.754960741347586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3335531942750548
the lambda is 2.0
the regulation term lambda/alpha is 5.9960451116254605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39827177923559254
the lambda is 2.0
the regulation term lambda/alpha is 5.021696500411408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32723886365421967
the lambda is 2.0
the regulation term lambda/alpha is 6.111743506459919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31620867218283505
the lambda is 2.0
the regulation term lambda/alpha is 6.324937220075924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38189668578030284
the lambda is 2.0
the regulation term lambda/alpha is 5.237018477689953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3444930474046139
the lambda is 2.0
the regulation term lambda/alpha is 5.805632407004605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30212668232908735
the lambda is 2.0
the regulation term lambda/alpha is 6.619739721702327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2792038914708199
the lambda is 2.0
the regulation term lambda/alpha is 7.163223941701484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3445770157032691
the lambda is 2.0
the regulation term lambda/alpha is 5.80421766065294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2788067138782547
the lambda is 2.0
the regulation term lambda/alpha is 7.17342840199082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32382635077616945
the lambda is 2.0
the regulation term lambda/alpha is 6.176149640714109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3677922110926177
the lambda is 2.0
the regulation term lambda/alpha is 5.437853058547666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3632715786060776
the lambda is 2.0
the regulation term lambda/alpha is 5.5055229139429835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26640830962561884
the lambda is 2.0
the regulation term lambda/alpha is 7.507273338472744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2763722817973836
the lambda is 2.0
the regulation term lambda/alpha is 7.236615723519832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2789873287063365
the lambda is 2.0
the regulation term lambda/alpha is 7.168784364773821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3052209581045013
the lambda is 2.0
the regulation term lambda/alpha is 6.552629978034608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3591526745122149
the lambda is 2.0
the regulation term lambda/alpha is 5.568662415548793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3539952910337536
the lambda is 2.0
the regulation term lambda/alpha is 5.6497926685959765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29186709843836695
the lambda is 2.0
the regulation term lambda/alpha is 6.852433901255014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25498614309476525
the lambda is 2.0
the regulation term lambda/alpha is 7.8435634804543195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35713218650190576
the lambda is 2.0
the regulation term lambda/alpha is 5.60016732064929
460
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24562940299797742
the lambda is 2.0
the regulation term lambda/alpha is 8.14234768146413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33882957506282246
the lambda is 2.0
the regulation term lambda/alpha is 5.902672455995553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3262801246658225
the lambda is 2.0
the regulation term lambda/alpha is 6.129702206189876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3289748112679705
the lambda is 2.0
the regulation term lambda/alpha is 6.079492810684752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31148079449145144
the lambda is 2.0
the regulation term lambda/alpha is 6.420941629050872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32512325717849244
the lambda is 2.0
the regulation term lambda/alpha is 6.151513174900316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3139655255815919
the lambda is 2.0
the regulation term lambda/alpha is 6.370126135011754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30156239786604694
the lambda is 2.0
the regulation term lambda/alpha is 6.632126598517079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30098058195344346
the lambda is 2.0
the regulation term lambda/alpha is 6.644946949798129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24107686278037235
the lambda is 2.0
the regulation term lambda/alpha is 8.296109286199128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3308423463321911
the lambda is 2.0
the regulation term lambda/alpha is 6.045175359722078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3253532147671491
the lambda is 2.0
the regulation term lambda/alpha is 6.147165324404042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33419344124291467
the lambda is 2.0
the regulation term lambda/alpha is 5.9845579032362375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3439328207163972
the lambda is 2.0
the regulation term lambda/alpha is 5.815089109071029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3305124085502849
the lambda is 2.0
the regulation term lambda/alpha is 6.051210024980698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3616860795863561
the lambda is 2.0
the regulation term lambda/alpha is 5.529657105651699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26515712969155997
the lambda is 2.0
the regulation term lambda/alpha is 7.542697427470533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29104745148371286
the lambda is 2.0
the regulation term lambda/alpha is 6.871731704931012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3750082685503922
the lambda is 2.0
the regulation term lambda/alpha is 5.333215738765097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31290406255781755
the lambda is 2.0
the regulation term lambda/alpha is 6.391735484835533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.313513042721768
the lambda is 2.0
the regulation term lambda/alpha is 6.379319924418363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3143166035011657
the lambda is 2.0
the regulation term lambda/alpha is 6.363010982309061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3490497419308682
the lambda is 2.0
the regulation term lambda/alpha is 5.729842368415543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25976834196927423
the lambda is 2.0
the regulation term lambda/alpha is 7.699167592317939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3240685735801234
the lambda is 2.0
the regulation term lambda/alpha is 6.171533320572091
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3186890250143743
the lambda is 2.0
the regulation term lambda/alpha is 6.27571031010494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36710273366335044
the lambda is 2.0
the regulation term lambda/alpha is 5.44806621307835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27984137537648013
the lambda is 2.0
the regulation term lambda/alpha is 7.146905983110367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.38308700331045836
the lambda is 2.0
the regulation term lambda/alpha is 5.220746156139303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3169892118647002
the lambda is 2.0
the regulation term lambda/alpha is 6.3093629850521715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33704216944270776
the lambda is 2.0
the regulation term lambda/alpha is 5.933975571386092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3166963955779951
the lambda is 2.0
the regulation term lambda/alpha is 6.315196598148353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3270095917050025
the lambda is 2.0
the regulation term lambda/alpha is 6.116028553083584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3203687799136475
the lambda is 2.0
the regulation term lambda/alpha is 6.242805558453861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3182039235386347
the lambda is 2.0
the regulation term lambda/alpha is 6.28527762247146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3283138543579974
the lambda is 2.0
the regulation term lambda/alpha is 6.091731961512583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2934112172248747
the lambda is 2.0
the regulation term lambda/alpha is 6.81637198099066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25751785058107873
the lambda is 2.0
the regulation term lambda/alpha is 7.766451900274408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37255137541779487
the lambda is 2.0
the regulation term lambda/alpha is 5.368387105690095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3448142639639677
the lambda is 2.0
the regulation term lambda/alpha is 5.800224088783622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2979376632265525
the lambda is 2.0
the regulation term lambda/alpha is 6.712813607855933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2609326438895335
the lambda is 2.0
the regulation term lambda/alpha is 7.664813302726143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23326926383494104
the lambda is 2.0
the regulation term lambda/alpha is 8.573782791268977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2860766364704593
the lambda is 2.0
the regulation term lambda/alpha is 6.991133651022645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35099618817254125
the lambda is 2.0
the regulation term lambda/alpha is 5.698067578491332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3336818941648904
the lambda is 2.0
the regulation term lambda/alpha is 5.993732458889996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32365238212286734
the lambda is 2.0
the regulation term lambda/alpha is 6.179469426060782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3697471438366376
the lambda is 2.0
the regulation term lambda/alpha is 5.409101958833911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33853139895834305
the lambda is 2.0
the regulation term lambda/alpha is 5.90787148888988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3054005265120103
the lambda is 2.0
the regulation term lambda/alpha is 6.5487771839887365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3215180882351278
the lambda is 2.0
the regulation term lambda/alpha is 6.220489836134476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3479106902286911
the lambda is 2.0
the regulation term lambda/alpha is 5.748601742261343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3300274261811297
the lambda is 2.0
the regulation term lambda/alpha is 6.060102407677887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30995388565816967
the lambda is 2.0
the regulation term lambda/alpha is 6.452572761761358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3539299617831485
the lambda is 2.0
the regulation term lambda/alpha is 5.650835521027158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34824044737847804
the lambda is 2.0
the regulation term lambda/alpha is 5.743158254751323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2954405971706178
the lambda is 2.0
the regulation term lambda/alpha is 6.7695503568353335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31676334019329977
the lambda is 2.0
the regulation term lambda/alpha is 6.313861947470095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3408214230389051
the lambda is 2.0
the regulation term lambda/alpha is 5.868175721370948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3151379618672363
the lambda is 2.0
the regulation term lambda/alpha is 6.346426778131462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33746194054226863
the lambda is 2.0
the regulation term lambda/alpha is 5.926594260633344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2852500361151506
the lambda is 2.0
the regulation term lambda/alpha is 7.011392626757228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2914592511439574
the lambda is 2.0
the regulation term lambda/alpha is 6.862022708663865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31915137053620585
the lambda is 2.0
the regulation term lambda/alpha is 6.266618866902569
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35897684854405704
the lambda is 2.0
the regulation term lambda/alpha is 5.571389932558676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2876133530725572
the lambda is 2.0
the regulation term lambda/alpha is 6.953780061440518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3377976522193973
the lambda is 2.0
the regulation term lambda/alpha is 5.920704264400907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3429434140327136
the lambda is 2.0
the regulation term lambda/alpha is 5.831865894381102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29007973119555913
the lambda is 2.0
the regulation term lambda/alpha is 6.894656140768715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32421993792505444
the lambda is 2.0
the regulation term lambda/alpha is 6.168652097090689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27395644840930095
the lambda is 2.0
the regulation term lambda/alpha is 7.3004304575153744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3084653278422496
the lambda is 2.0
the regulation term lambda/alpha is 6.483710872759119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27455594250224225
the lambda is 2.0
the regulation term lambda/alpha is 7.284489935903196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.290612896669082
the lambda is 2.0
the regulation term lambda/alpha is 6.882007037276738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31651563322004705
the lambda is 2.0
the regulation term lambda/alpha is 6.318803212508515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3145695248603261
the lambda is 2.0
the regulation term lambda/alpha is 6.357894970557088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3180330660858527
the lambda is 2.0
the regulation term lambda/alpha is 6.288654273012297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35484803092650813
the lambda is 2.0
the regulation term lambda/alpha is 5.636215578759168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36327105883430155
the lambda is 2.0
the regulation term lambda/alpha is 5.505530791298896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32807835509932787
the lambda is 2.0
the regulation term lambda/alpha is 6.096104692412539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3500223760677677
the lambda is 2.0
the regulation term lambda/alpha is 5.713920414084558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3424162579447977
the lambda is 2.0
the regulation term lambda/alpha is 5.840844158522485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33058507621389166
the lambda is 2.0
the regulation term lambda/alpha is 6.049879876325637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36023687066130655
the lambda is 2.0
the regulation term lambda/alpha is 5.551902547700046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2943917640966118
the lambda is 2.0
the regulation term lambda/alpha is 6.79366831520345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3317127793865874
the lambda is 2.0
the regulation term lambda/alpha is 6.029312478399103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3428285421079918
the lambda is 2.0
the regulation term lambda/alpha is 5.83381998389736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3210713113031034
the lambda is 2.0
the regulation term lambda/alpha is 6.229145767906759
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3308425991814475
the lambda is 2.0
the regulation term lambda/alpha is 6.045170739645649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2703638473023995
the lambda is 2.0
the regulation term lambda/alpha is 7.397438747655556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32266079156295707
the lambda is 2.0
the regulation term lambda/alpha is 6.198459968786642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3499778674349484
the lambda is 2.0
the regulation term lambda/alpha is 5.714647085138168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3118174980968429
the lambda is 2.0
the regulation term lambda/alpha is 6.414008233042935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33037859795158
the lambda is 2.0
the regulation term lambda/alpha is 6.053660898134565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30270454765985644
the lambda is 2.0
the regulation term lambda/alpha is 6.6071025871978755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3041379450415407
the lambda is 2.0
the regulation term lambda/alpha is 6.57596341596518
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29847491957293387
the lambda is 2.0
the regulation term lambda/alpha is 6.700730509825265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29707798027283255
the lambda is 2.0
the regulation term lambda/alpha is 6.732239118372981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3199082029044163
the lambda is 2.0
the regulation term lambda/alpha is 6.251793426496068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3127299959154936
the lambda is 2.0
the regulation term lambda/alpha is 6.395293147832366
470
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3259790397428574
the lambda is 2.0
the regulation term lambda/alpha is 6.135363800008931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28602532985846807
the lambda is 2.0
the regulation term lambda/alpha is 6.9923877056260935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34503783797637444
the lambda is 2.0
the regulation term lambda/alpha is 5.796465720194273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27323235637764043
the lambda is 2.0
the regulation term lambda/alpha is 7.319777300590843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32975100958613435
the lambda is 2.0
the regulation term lambda/alpha is 6.06518234018501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3247567599217393
the lambda is 2.0
the regulation term lambda/alpha is 6.158455332791117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32854050869615314
the lambda is 2.0
the regulation term lambda/alpha is 6.08752938241073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32752754208530305
the lambda is 2.0
the regulation term lambda/alpha is 6.1063566968029495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39660012216565055
the lambda is 2.0
the regulation term lambda/alpha is 5.042862793583929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30029778736193097
the lambda is 2.0
the regulation term lambda/alpha is 6.660055731910937
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3367845131897007
the lambda is 2.0
the regulation term lambda/alpha is 5.938515346379539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26221693853285205
the lambda is 2.0
the regulation term lambda/alpha is 7.62727233103375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31134686876455425
the lambda is 2.0
the regulation term lambda/alpha is 6.423703594438375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28624974674754955
the lambda is 2.0
the regulation term lambda/alpha is 6.9869057448069904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38615959852370285
the lambda is 2.0
the regulation term lambda/alpha is 5.179205716097817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3018165438784801
the lambda is 2.0
the regulation term lambda/alpha is 6.626541985734409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2670422224860874
the lambda is 2.0
the regulation term lambda/alpha is 7.489452347200255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3095625013891855
the lambda is 2.0
the regulation term lambda/alpha is 6.460730841186663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3500146266522638
the lambda is 2.0
the regulation term lambda/alpha is 5.714046921779017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124764766956217
the lambda is 2.0
the regulation term lambda/alpha is 6.400481793540472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33150579997165486
the lambda is 2.0
the regulation term lambda/alpha is 6.0330769481891675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34184738609557025
the lambda is 2.0
the regulation term lambda/alpha is 5.850563969036347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31821264002485766
the lambda is 2.0
the regulation term lambda/alpha is 6.285105456036463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36924659480667976
the lambda is 2.0
the regulation term lambda/alpha is 5.416434513220376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3362752249770415
the lambda is 2.0
the regulation term lambda/alpha is 5.947509217000883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3030849779954324
the lambda is 2.0
the regulation term lambda/alpha is 6.598809394077396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24361185570449032
the lambda is 2.0
the regulation term lambda/alpha is 8.209781064292986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29362384946396536
the lambda is 2.0
the regulation term lambda/alpha is 6.811435800093097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2978944233268148
the lambda is 2.0
the regulation term lambda/alpha is 6.713787984563359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3306625692914757
the lambda is 2.0
the regulation term lambda/alpha is 6.048462044813486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.339958613896916
the lambda is 2.0
the regulation term lambda/alpha is 5.883069050888795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3216813472982354
the lambda is 2.0
the regulation term lambda/alpha is 6.217332825784801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29059092074113985
the lambda is 2.0
the regulation term lambda/alpha is 6.882527488811711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32201345532440084
the lambda is 2.0
the regulation term lambda/alpha is 6.2109205902131395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2906050208094973
the lambda is 2.0
the regulation term lambda/alpha is 6.882193550644386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3183095203020135
the lambda is 2.0
the regulation term lambda/alpha is 6.283192529404685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3981679392018262
the lambda is 2.0
the regulation term lambda/alpha is 5.023006131556529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3407501023518733
the lambda is 2.0
the regulation term lambda/alpha is 5.869403959664004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3479591035906324
the lambda is 2.0
the regulation term lambda/alpha is 5.747801909367383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3010516314082561
the lambda is 2.0
the regulation term lambda/alpha is 6.643378714290375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31007068162490503
the lambda is 2.0
the regulation term lambda/alpha is 6.45014223698652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27684999816772954
the lambda is 2.0
the regulation term lambda/alpha is 7.22412863730019
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.41902960276470924
the lambda is 2.0
the regulation term lambda/alpha is 4.7729324773338915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32461321029969714
the lambda is 2.0
the regulation term lambda/alpha is 6.161178709127433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36139913784760397
the lambda is 2.0
the regulation term lambda/alpha is 5.534047512983738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32506283399337305
the lambda is 2.0
the regulation term lambda/alpha is 6.15265662773608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.327141099150512
the lambda is 2.0
the regulation term lambda/alpha is 6.113569970857848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3181100094634864
the lambda is 2.0
the regulation term lambda/alpha is 6.287133194498131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31963036882624135
the lambda is 2.0
the regulation term lambda/alpha is 6.257227707568824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2855540186149734
the lambda is 2.0
the regulation term lambda/alpha is 7.003928747704646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3682781157355131
the lambda is 2.0
the regulation term lambda/alpha is 5.430678377415028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28156239856926796
the lambda is 2.0
the regulation term lambda/alpha is 7.103221204829929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38949439533598945
the lambda is 2.0
the regulation term lambda/alpha is 5.134862077475442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3401890100790405
the lambda is 2.0
the regulation term lambda/alpha is 5.879084687466283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4369912893764126
the lambda is 2.0
the regulation term lambda/alpha is 4.576750266244446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31164478134016593
the lambda is 2.0
the regulation term lambda/alpha is 6.417562942653494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36109878225209946
the lambda is 2.0
the regulation term lambda/alpha is 5.538650636057003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31862469871425103
the lambda is 2.0
the regulation term lambda/alpha is 6.276977296708689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2678622296924255
the lambda is 2.0
the regulation term lambda/alpha is 7.466524870999963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3681422512785916
the lambda is 2.0
the regulation term lambda/alpha is 5.432682592269204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3404626574792315
the lambda is 2.0
the regulation term lambda/alpha is 5.874359363837139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32715344503574206
the lambda is 2.0
the regulation term lambda/alpha is 6.113339261279968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3218877797767055
the lambda is 2.0
the regulation term lambda/alpha is 6.213345537340392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3235332722938547
the lambda is 2.0
the regulation term lambda/alpha is 6.181744417876951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3555997584808554
the lambda is 2.0
the regulation term lambda/alpha is 5.624300782835529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2953221211235914
the lambda is 2.0
the regulation term lambda/alpha is 6.772266135671584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3140678836790306
the lambda is 2.0
the regulation term lambda/alpha is 6.368050042467727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26902115958163786
the lambda is 2.0
the regulation term lambda/alpha is 7.434359450053128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28289080734700633
the lambda is 2.0
the regulation term lambda/alpha is 7.0698656444736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.339656195586316
the lambda is 2.0
the regulation term lambda/alpha is 5.888307135241833
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30702197056957226
the lambda is 2.0
the regulation term lambda/alpha is 6.514191789889489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2893173371654306
the lambda is 2.0
the regulation term lambda/alpha is 6.912824580769618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29157227797880686
the lambda is 2.0
the regulation term lambda/alpha is 6.859362672830548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2824643065819117
the lambda is 2.0
the regulation term lambda/alpha is 7.080540632556068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3775396878906929
the lambda is 2.0
the regulation term lambda/alpha is 5.297456304988654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25110527966638124
the lambda is 2.0
the regulation term lambda/alpha is 7.964786732709094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3153353494301741
the lambda is 2.0
the regulation term lambda/alpha is 6.342454163842064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33618965815220064
the lambda is 2.0
the regulation term lambda/alpha is 5.949022974093257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28798078551738243
the lambda is 2.0
the regulation term lambda/alpha is 6.944907787534598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33046201466267217
the lambda is 2.0
the regulation term lambda/alpha is 6.052132805767564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2845369746210431
the lambda is 2.0
the regulation term lambda/alpha is 7.02896346832841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4746060342853899
the lambda is 2.0
the regulation term lambda/alpha is 4.2140214315045155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3080244128471303
the lambda is 2.0
the regulation term lambda/alpha is 6.49299184280105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31258555766560203
the lambda is 2.0
the regulation term lambda/alpha is 6.398248258608164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28868983618290545
the lambda is 2.0
the regulation term lambda/alpha is 6.92785041012964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36561501125454726
the lambda is 2.0
the regulation term lambda/alpha is 5.470234914965148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3058788006683065
the lambda is 2.0
the regulation term lambda/alpha is 6.538537471803384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3374698176547364
the lambda is 2.0
the regulation term lambda/alpha is 5.9264559239670715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4206744208412958
the lambda is 2.0
the regulation term lambda/alpha is 4.754270525886152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31489997159257066
the lambda is 2.0
the regulation term lambda/alpha is 6.351223183302394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2975956123191817
the lambda is 2.0
the regulation term lambda/alpha is 6.72052919199269
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3852579123972662
the lambda is 2.0
the regulation term lambda/alpha is 5.191327512405926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27402503726407385
the lambda is 2.0
the regulation term lambda/alpha is 7.298603149436413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37823961417510427
the lambda is 2.0
the regulation term lambda/alpha is 5.287653447832963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31148692802173966
the lambda is 2.0
the regulation term lambda/alpha is 6.4208151934402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35162369885599354
the lambda is 2.0
the regulation term lambda/alpha is 5.68789875798188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35404262388323854
the lambda is 2.0
the regulation term lambda/alpha is 5.649037333594019
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28067616172932003
the lambda is 2.0
the regulation term lambda/alpha is 7.125649672838161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2993253045092977
the lambda is 2.0
the regulation term lambda/alpha is 6.681693695355034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28163349236018337
the lambda is 2.0
the regulation term lambda/alpha is 7.101428112257983
480
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.37005684384718057
the lambda is 2.0
the regulation term lambda/alpha is 5.404575089620351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189145899827843
the lambda is 2.0
the regulation term lambda/alpha is 6.271271565556045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3158979246124881
the lambda is 2.0
the regulation term lambda/alpha is 6.331159036430516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3603217229359359
the lambda is 2.0
the regulation term lambda/alpha is 5.550595128441906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27447913336724494
the lambda is 2.0
the regulation term lambda/alpha is 7.2865283982227504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3025823622668602
the lambda is 2.0
the regulation term lambda/alpha is 6.609770592762163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3912844016682493
the lambda is 2.0
the regulation term lambda/alpha is 5.111371655688185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3567581166747998
the lambda is 2.0
the regulation term lambda/alpha is 5.60603923644738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32342583929627894
the lambda is 2.0
the regulation term lambda/alpha is 6.183797820086573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2968898819051063
the lambda is 2.0
the regulation term lambda/alpha is 6.736504414250304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2966099067447414
the lambda is 2.0
the regulation term lambda/alpha is 6.742863115901161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33586176810404006
the lambda is 2.0
the regulation term lambda/alpha is 5.954830796283009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3380990826696606
the lambda is 2.0
the regulation term lambda/alpha is 5.915425691805553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2908681992288139
the lambda is 2.0
the regulation term lambda/alpha is 6.875966521272005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282905612234331
the lambda is 2.0
the regulation term lambda/alpha is 6.092164186952695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3791618266146822
the lambda is 2.0
the regulation term lambda/alpha is 5.27479260730662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3714483204813589
the lambda is 2.0
the regulation term lambda/alpha is 5.38432909700118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30985373899108765
the lambda is 2.0
the regulation term lambda/alpha is 6.454658273649318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29352576002184155
the lambda is 2.0
the regulation term lambda/alpha is 6.813712022587652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3315867986622953
the lambda is 2.0
the regulation term lambda/alpha is 6.031603212397188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2946782526864176
the lambda is 2.0
the regulation term lambda/alpha is 6.787063455708432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3204221555097129
the lambda is 2.0
the regulation term lambda/alpha is 6.24176563826709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3109106052067986
the lambda is 2.0
the regulation term lambda/alpha is 6.432717207152593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33430976172731314
the lambda is 2.0
the regulation term lambda/alpha is 5.982475622806798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2949191696739519
the lambda is 2.0
the regulation term lambda/alpha is 6.781519160694443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3373805057231661
the lambda is 2.0
the regulation term lambda/alpha is 5.928024785288212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32852660450852494
the lambda is 2.0
the regulation term lambda/alpha is 6.087787024104168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28537284397627505
the lambda is 2.0
the regulation term lambda/alpha is 7.008375331488351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35977017682000856
the lambda is 2.0
the regulation term lambda/alpha is 5.55910447518998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33172853934636537
the lambda is 2.0
the regulation term lambda/alpha is 6.02902603418078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32955492732459557
the lambda is 2.0
the regulation term lambda/alpha is 6.068791069933229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3585970198785316
the lambda is 2.0
the regulation term lambda/alpha is 5.577291190756311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.294734029806775
the lambda is 2.0
the regulation term lambda/alpha is 6.785779033765399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.370019189108027
the lambda is 2.0
the regulation term lambda/alpha is 5.405125082353771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2719876019760676
the lambda is 2.0
the regulation term lambda/alpha is 7.353276345941612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3268445289746738
the lambda is 2.0
the regulation term lambda/alpha is 6.119117264327756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32029594164830644
the lambda is 2.0
the regulation term lambda/alpha is 6.244225230290472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2849021220688429
the lambda is 2.0
the regulation term lambda/alpha is 7.019954732091206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3011162689517839
the lambda is 2.0
the regulation term lambda/alpha is 6.641952648265076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2896390362745017
the lambda is 2.0
the regulation term lambda/alpha is 6.905146577357499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28634987097294007
the lambda is 2.0
the regulation term lambda/alpha is 6.984462724584217
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3231981162401066
the lambda is 2.0
the regulation term lambda/alpha is 6.18815487932542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29623065515461944
the lambda is 2.0
the regulation term lambda/alpha is 6.751495718618614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28468421177146175
the lambda is 2.0
the regulation term lambda/alpha is 7.0253281260485085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2713796986825661
the lambda is 2.0
the regulation term lambda/alpha is 7.369748030929196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31568612314215133
the lambda is 2.0
the regulation term lambda/alpha is 6.335406764457028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30626423908672423
the lambda is 2.0
the regulation term lambda/alpha is 6.530308618348562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3268438649384645
the lambda is 2.0
the regulation term lambda/alpha is 6.11912969630482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3351891433142792
the lambda is 2.0
the regulation term lambda/alpha is 5.966780368315107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30104274699982025
the lambda is 2.0
the regulation term lambda/alpha is 6.643574774452859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33506879149426283
the lambda is 2.0
the regulation term lambda/alpha is 5.968923548746093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28505052085696586
the lambda is 2.0
the regulation term lambda/alpha is 7.016300107038115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30822251675231926
the lambda is 2.0
the regulation term lambda/alpha is 6.488818601163897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3780076044771037
the lambda is 2.0
the regulation term lambda/alpha is 5.290898850478396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.361390005047005
the lambda is 2.0
the regulation term lambda/alpha is 5.5341873656408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30222726496940006
the lambda is 2.0
the regulation term lambda/alpha is 6.6175366415154375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.315585441827726
the lambda is 2.0
the regulation term lambda/alpha is 6.337427951102301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3325795897997192
the lambda is 2.0
the regulation term lambda/alpha is 6.013598132117513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3247867783071363
the lambda is 2.0
the regulation term lambda/alpha is 6.157886138174903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30068356593310863
the lambda is 2.0
the regulation term lambda/alpha is 6.6515108459400425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31939339880488554
the lambda is 2.0
the regulation term lambda/alpha is 6.261870181048361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2799421187879754
the lambda is 2.0
the regulation term lambda/alpha is 7.144334009684246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33240457955080793
the lambda is 2.0
the regulation term lambda/alpha is 6.0167642777445565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3216381636295914
the lambda is 2.0
the regulation term lambda/alpha is 6.2181675751117105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3320888018916109
the lambda is 2.0
the regulation term lambda/alpha is 6.022485517752483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2719870404381415
the lambda is 2.0
the regulation term lambda/alpha is 7.353291527339751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2892190164396372
the lambda is 2.0
the regulation term lambda/alpha is 6.915174612722671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34258491944720026
the lambda is 2.0
the regulation term lambda/alpha is 5.837968592509056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4234695409286918
the lambda is 2.0
the regulation term lambda/alpha is 4.722889857943244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33645491847901576
the lambda is 2.0
the regulation term lambda/alpha is 5.944332777304123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29290724538647034
the lambda is 2.0
the regulation term lambda/alpha is 6.8281001289713465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3711900556996077
the lambda is 2.0
the regulation term lambda/alpha is 5.38807537887959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31912721795110155
the lambda is 2.0
the regulation term lambda/alpha is 6.267093144986622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3119082351310468
the lambda is 2.0
the regulation term lambda/alpha is 6.412142337824807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.282940948247896
the lambda is 2.0
the regulation term lambda/alpha is 7.068612770208571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324034839523664
the lambda is 2.0
the regulation term lambda/alpha is 6.172175815847547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3584183381043121
the lambda is 2.0
the regulation term lambda/alpha is 5.580071629643935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32625548616273486
the lambda is 2.0
the regulation term lambda/alpha is 6.130165115453134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.300113896181189
the lambda is 2.0
the regulation term lambda/alpha is 6.664136600967427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31696082617584626
the lambda is 2.0
the regulation term lambda/alpha is 6.3099280252709296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31688831025968345
the lambda is 2.0
the regulation term lambda/alpha is 6.311371973175789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3334090099575771
the lambda is 2.0
the regulation term lambda/alpha is 5.998638129948796
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3567019266448161
the lambda is 2.0
the regulation term lambda/alpha is 5.606922336563348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34727527931424085
the lambda is 2.0
the regulation term lambda/alpha is 5.759119980982721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3119738818632752
the lambda is 2.0
the regulation term lambda/alpha is 6.410793070416434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2944397121790751
the lambda is 2.0
the regulation term lambda/alpha is 6.7925619991899095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3681592526829657
the lambda is 2.0
the regulation term lambda/alpha is 5.4324317137895415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32872851923788093
the lambda is 2.0
the regulation term lambda/alpha is 6.084047726180767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27609252176211885
the lambda is 2.0
the regulation term lambda/alpha is 7.243948467837165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32417601855345235
the lambda is 2.0
the regulation term lambda/alpha is 6.169487826164496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35218066448013957
the lambda is 2.0
the regulation term lambda/alpha is 5.678903476862471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3196507865036232
the lambda is 2.0
the regulation term lambda/alpha is 6.25682802747407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.289704377380167
the lambda is 2.0
the regulation term lambda/alpha is 6.903589162463648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29457360438844404
the lambda is 2.0
the regulation term lambda/alpha is 6.789474583617713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32877910004988553
the lambda is 2.0
the regulation term lambda/alpha is 6.083111729719257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3172311615230856
the lambda is 2.0
the regulation term lambda/alpha is 6.30455088459037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35080693275287866
the lambda is 2.0
the regulation term lambda/alpha is 5.701141606026566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32958695693919576
the lambda is 2.0
the regulation term lambda/alpha is 6.068201298296438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3043314787942073
the lambda is 2.0
the regulation term lambda/alpha is 6.571781558464495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2910377031278053
the lambda is 2.0
the regulation term lambda/alpha is 6.871961874718778
490
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27846753625212367
the lambda is 2.0
the regulation term lambda/alpha is 7.1821657451273095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2980699740146319
the lambda is 2.0
the regulation term lambda/alpha is 6.709833845598356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2994610197065509
the lambda is 2.0
the regulation term lambda/alpha is 6.67866556375133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2741639749800586
the lambda is 2.0
the regulation term lambda/alpha is 7.29490444594506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2779579748851022
the lambda is 2.0
the regulation term lambda/alpha is 7.195332318947596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27802663170903763
the lambda is 2.0
the regulation term lambda/alpha is 7.193555479581013
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3350819803415842
the lambda is 2.0
the regulation term lambda/alpha is 5.968688611548703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3119546245975035
the lambda is 2.0
the regulation term lambda/alpha is 6.411188814977438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30981862556329204
the lambda is 2.0
the regulation term lambda/alpha is 6.45538981513371
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.288473777359606
the lambda is 2.0
the regulation term lambda/alpha is 6.933039177099406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32678534270348747
the lambda is 2.0
the regulation term lambda/alpha is 6.1202255384346405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245880774754085
the lambda is 2.0
the regulation term lambda/alpha is 6.161655768614989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3103401350992187
the lambda is 2.0
the regulation term lambda/alpha is 6.444541887437733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32396251824171185
the lambda is 2.0
the regulation term lambda/alpha is 6.173553690269128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3294541162026509
the lambda is 2.0
the regulation term lambda/alpha is 6.070648086150418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3243808469071527
the lambda is 2.0
the regulation term lambda/alpha is 6.1655921398234055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316005115206262
the lambda is 2.0
the regulation term lambda/alpha is 6.329011474053404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34451968649062753
the lambda is 2.0
the regulation term lambda/alpha is 5.805183501623815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3662258268760847
the lambda is 2.0
the regulation term lambda/alpha is 5.461111295890978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3258808810055812
the lambda is 2.0
the regulation term lambda/alpha is 6.137211835897015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3054085863248589
the lambda is 2.0
the regulation term lambda/alpha is 6.548604360037958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3766445772019476
the lambda is 2.0
the regulation term lambda/alpha is 5.310045918775167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.336213415352478
the lambda is 2.0
the regulation term lambda/alpha is 5.9486026097538325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189161140616893
the lambda is 2.0
the regulation term lambda/alpha is 6.271241595566198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2863736760220821
the lambda is 2.0
the regulation term lambda/alpha is 6.983882135332094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2696062619760348
the lambda is 2.0
the regulation term lambda/alpha is 7.4182253236305735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35639221982189956
the lambda is 2.0
the regulation term lambda/alpha is 5.61179478328529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31606595642242946
the lambda is 2.0
the regulation term lambda/alpha is 6.327793168989556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3004498549017028
the lambda is 2.0
the regulation term lambda/alpha is 6.656684858957025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36794843085878276
the lambda is 2.0
the regulation term lambda/alpha is 5.435544310739546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27162779459136766
the lambda is 2.0
the regulation term lambda/alpha is 7.363016745060154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34325153750672516
the lambda is 2.0
the regulation term lambda/alpha is 5.826630856564816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3328752377531841
the lambda is 2.0
the regulation term lambda/alpha is 6.008257068021783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3300535052429528
the lambda is 2.0
the regulation term lambda/alpha is 6.059623570814064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2763439911328589
the lambda is 2.0
the regulation term lambda/alpha is 7.237356570704129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31410338613349653
the lambda is 2.0
the regulation term lambda/alpha is 6.367330274975079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2632315507172508
the lambda is 2.0
the regulation term lambda/alpha is 7.597873410502728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3010216115626485
the lambda is 2.0
the regulation term lambda/alpha is 6.6440412355036536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40938331707214304
the lambda is 2.0
the regulation term lambda/alpha is 4.885396928980261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27551308978204414
the lambda is 2.0
the regulation term lambda/alpha is 7.259183226401989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32641076931775465
the lambda is 2.0
the regulation term lambda/alpha is 6.127248816515114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2886719705255036
the lambda is 2.0
the regulation term lambda/alpha is 6.928279168771268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36241776256734304
the lambda is 2.0
the regulation term lambda/alpha is 5.518493315096188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28779772120220426
the lambda is 2.0
the regulation term lambda/alpha is 6.949325351310954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31357141214061424
the lambda is 2.0
the regulation term lambda/alpha is 6.378132452658483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3334254880756527
the lambda is 2.0
the regulation term lambda/alpha is 5.998341673106314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33372984010321927
the lambda is 2.0
the regulation term lambda/alpha is 5.992871357806722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046249908414121
the lambda is 2.0
the regulation term lambda/alpha is 6.565449520329082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2825748268248616
the lambda is 2.0
the regulation term lambda/alpha is 7.077771302111032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.286375352820922
the lambda is 2.0
the regulation term lambda/alpha is 6.983841242967065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.339212149886895
the lambda is 2.0
the regulation term lambda/alpha is 5.896015224298035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3495219803809495
the lambda is 2.0
the regulation term lambda/alpha is 5.722100789827778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3256003362533832
the lambda is 2.0
the regulation term lambda/alpha is 6.142499799028444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3021029919404116
the lambda is 2.0
the regulation term lambda/alpha is 6.62025883012271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3628986004607061
the lambda is 2.0
the regulation term lambda/alpha is 5.511181353306309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31367461843302274
the lambda is 2.0
the regulation term lambda/alpha is 6.376033897773113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2993760480249916
the lambda is 2.0
the regulation term lambda/alpha is 6.680561164442394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30941181667212353
the lambda is 2.0
the regulation term lambda/alpha is 6.463877241376832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28946953810525333
the lambda is 2.0
the regulation term lambda/alpha is 6.909189868789526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3592481749907059
the lambda is 2.0
the regulation term lambda/alpha is 5.567182074207453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3119322052380848
the lambda is 2.0
the regulation term lambda/alpha is 6.411649603392133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3011534448820454
the lambda is 2.0
the regulation term lambda/alpha is 6.641132731466354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3593388920075846
the lambda is 2.0
the regulation term lambda/alpha is 5.565776609445842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.354588230341716
the lambda is 2.0
the regulation term lambda/alpha is 5.6403451351800475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3074245764888182
the lambda is 2.0
the regulation term lambda/alpha is 6.505660747239396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3064090046294409
the lambda is 2.0
the regulation term lambda/alpha is 6.527223318448889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3154508859303262
the lambda is 2.0
the regulation term lambda/alpha is 6.340131187463968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32971126593802924
the lambda is 2.0
the regulation term lambda/alpha is 6.06591344190195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3196675454837329
the lambda is 2.0
the regulation term lambda/alpha is 6.256500005258667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3432433389767861
the lambda is 2.0
the regulation term lambda/alpha is 5.82677002840618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29326884278882137
the lambda is 2.0
the regulation term lambda/alpha is 6.8196811532419455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30081056562328023
the lambda is 2.0
the regulation term lambda/alpha is 6.648702634018174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3079321421564648
the lambda is 2.0
the regulation term lambda/alpha is 6.494937443015516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3288092437011899
the lambda is 2.0
the regulation term lambda/alpha is 6.082554059269479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3209186470299396
the lambda is 2.0
the regulation term lambda/alpha is 6.23210903607422
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3350935352818661
the lambda is 2.0
the regulation term lambda/alpha is 5.968482794864088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3062705604233803
the lambda is 2.0
the regulation term lambda/alpha is 6.530173834648858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29500867248024754
the lambda is 2.0
the regulation term lambda/alpha is 6.779461712719348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3072688344422083
the lambda is 2.0
the regulation term lambda/alpha is 6.508958201474102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28447529568695884
the lambda is 2.0
the regulation term lambda/alpha is 7.030487463490791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34304690575055824
the lambda is 2.0
the regulation term lambda/alpha is 5.830106514513417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3038910904082792
the lambda is 2.0
the regulation term lambda/alpha is 6.581305155452204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31798732281112113
the lambda is 2.0
the regulation term lambda/alpha is 6.289558911717889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35283048925876115
the lambda is 2.0
the regulation term lambda/alpha is 5.668444368857326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38411398527624585
the lambda is 2.0
the regulation term lambda/alpha is 5.206787767859185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3290875548125783
the lambda is 2.0
the regulation term lambda/alpha is 6.077410010655185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.291490137301679
the lambda is 2.0
the regulation term lambda/alpha is 6.861295611968138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2846393900142409
the lambda is 2.0
the regulation term lambda/alpha is 7.026434394410195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36086604231926694
the lambda is 2.0
the regulation term lambda/alpha is 5.542222779251009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30632471179983756
the lambda is 2.0
the regulation term lambda/alpha is 6.529019445570766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35673565583861316
the lambda is 2.0
the regulation term lambda/alpha is 5.6063922046098975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2994466871869057
the lambda is 2.0
the regulation term lambda/alpha is 6.67898522701525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3192746699279678
the lambda is 2.0
the regulation term lambda/alpha is 6.264198786741284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3438253353881136
the lambda is 2.0
the regulation term lambda/alpha is 5.816906999428588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33727209468911296
the lambda is 2.0
the regulation term lambda/alpha is 5.929930259553606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3500727054648691
the lambda is 2.0
the regulation term lambda/alpha is 5.7130989328178465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2947007294763717
the lambda is 2.0
the regulation term lambda/alpha is 6.786545807177428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2826590524625879
the lambda is 2.0
the regulation term lambda/alpha is 7.075662295530816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2825029125846797
the lambda is 2.0
the regulation term lambda/alpha is 7.079573027058629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.344018172396613
the lambda is 2.0
the regulation term lambda/alpha is 5.813646372419631
500
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.280357168626981
the lambda is 2.0
the regulation term lambda/alpha is 7.133757306063491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25707361235574483
the lambda is 2.0
the regulation term lambda/alpha is 7.779872783023527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3968099075570448
the lambda is 2.0
the regulation term lambda/alpha is 5.040196733778586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.317573679358522
the lambda is 2.0
the regulation term lambda/alpha is 6.297751136176867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31127131816431164
the lambda is 2.0
the regulation term lambda/alpha is 6.425262731544879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30435592023331215
the lambda is 2.0
the regulation term lambda/alpha is 6.5712538085897805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31925358266239506
the lambda is 2.0
the regulation term lambda/alpha is 6.264612548185447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30750493490004543
the lambda is 2.0
the regulation term lambda/alpha is 6.503960662127587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32796512001121564
the lambda is 2.0
the regulation term lambda/alpha is 6.098209467920261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2722569826263522
the lambda is 2.0
the regulation term lambda/alpha is 7.346000755267376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3406925290141944
the lambda is 2.0
the regulation term lambda/alpha is 5.870395825194844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3319904014026803
the lambda is 2.0
the regulation term lambda/alpha is 6.024270555865092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35370127010434355
the lambda is 2.0
the regulation term lambda/alpha is 5.654489166550039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3072864864663848
the lambda is 2.0
the regulation term lambda/alpha is 6.508584295387775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2521632248180745
the lambda is 2.0
the regulation term lambda/alpha is 7.931370648685662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28215043988442445
the lambda is 2.0
the regulation term lambda/alpha is 7.08841708990157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32383909856901133
the lambda is 2.0
the regulation term lambda/alpha is 6.175906519125245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3187821383959923
the lambda is 2.0
the regulation term lambda/alpha is 6.273877231840364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28700450761132495
the lambda is 2.0
the regulation term lambda/alpha is 6.968531667483405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28926644439432714
the lambda is 2.0
the regulation term lambda/alpha is 6.914040804793819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2881393220749222
the lambda is 2.0
the regulation term lambda/alpha is 6.941086643772829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3397931359533853
the lambda is 2.0
the regulation term lambda/alpha is 5.8859340827719695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38761860439752277
the lambda is 2.0
the regulation term lambda/alpha is 5.159711059557135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2818929082544718
the lambda is 2.0
the regulation term lambda/alpha is 7.0948929236437195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.312127018734951
the lambda is 2.0
the regulation term lambda/alpha is 6.407647784244979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3285418776248287
the lambda is 2.0
the regulation term lambda/alpha is 6.087504017627417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3122248741363417
the lambda is 2.0
the regulation term lambda/alpha is 6.405639542756751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31120979538060833
the lambda is 2.0
the regulation term lambda/alpha is 6.426532935937984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3311880856352827
the lambda is 2.0
the regulation term lambda/alpha is 6.0388645810238435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3581893824271106
the lambda is 2.0
the regulation term lambda/alpha is 5.583638427381325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096985806628496
the lambda is 2.0
the regulation term lambda/alpha is 6.457892043674817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2971399236798751
the lambda is 2.0
the regulation term lambda/alpha is 6.730835679135155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280131629315039
the lambda is 2.0
the regulation term lambda/alpha is 6.097316284888367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3162065625083249
the lambda is 2.0
the regulation term lambda/alpha is 6.324979418943417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31427315379834775
the lambda is 2.0
the regulation term lambda/alpha is 6.363890697718625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3671198030183176
the lambda is 2.0
the regulation term lambda/alpha is 5.447812903463039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30035098599927645
the lambda is 2.0
the regulation term lambda/alpha is 6.658876092402167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3115250756417711
the lambda is 2.0
the regulation term lambda/alpha is 6.420028936289674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3016026416595639
the lambda is 2.0
the regulation term lambda/alpha is 6.631241652908047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26262265005957014
the lambda is 2.0
the regulation term lambda/alpha is 7.615489370571595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32105698165001423
the lambda is 2.0
the regulation term lambda/alpha is 6.2294237917560995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34385996964988386
the lambda is 2.0
the regulation term lambda/alpha is 5.816321108957196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3102861998631007
the lambda is 2.0
the regulation term lambda/alpha is 6.4456621044777584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31030482782672636
the lambda is 2.0
the regulation term lambda/alpha is 6.445275163803756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32239427750414984
the lambda is 2.0
the regulation term lambda/alpha is 6.203584057022402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31267565097696104
the lambda is 2.0
the regulation term lambda/alpha is 6.396404688855566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32979855294148297
the lambda is 2.0
the regulation term lambda/alpha is 6.064307990929437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.342523098759869
the lambda is 2.0
the regulation term lambda/alpha is 5.839022265187815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33527764530646537
the lambda is 2.0
the regulation term lambda/alpha is 5.965205339508607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26926926004892826
the lambda is 2.0
the regulation term lambda/alpha is 7.427509548013705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2931315530296134
the lambda is 2.0
the regulation term lambda/alpha is 6.822875188048935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27959056422079787
the lambda is 2.0
the regulation term lambda/alpha is 7.153317228619214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.326146566801933
the lambda is 2.0
the regulation term lambda/alpha is 6.132212335120452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30558240747020166
the lambda is 2.0
the regulation term lambda/alpha is 6.544879388042084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2825364502505363
the lambda is 2.0
the regulation term lambda/alpha is 7.0787326669763155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36939967387954503
the lambda is 2.0
the regulation term lambda/alpha is 5.4141899449867035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3536229819621461
the lambda is 2.0
the regulation term lambda/alpha is 5.65574100671458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2892919811123511
the lambda is 2.0
the regulation term lambda/alpha is 6.913430480547155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3983264981173924
the lambda is 2.0
the regulation term lambda/alpha is 5.021006660246268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30770103605898064
the lambda is 2.0
the regulation term lambda/alpha is 6.49981561848442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3058221425418238
the lambda is 2.0
the regulation term lambda/alpha is 6.539748833675386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2857882947457841
the lambda is 2.0
the regulation term lambda/alpha is 6.998187248288285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3281153608369096
the lambda is 2.0
the regulation term lambda/alpha is 6.0954171572421565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25168058661395626
the lambda is 2.0
the regulation term lambda/alpha is 7.946580333856769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.369266611820049
the lambda is 2.0
the regulation term lambda/alpha is 5.416140901941711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3150711324411172
the lambda is 2.0
the regulation term lambda/alpha is 6.347772912435178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28736521292733136
the lambda is 2.0
the regulation term lambda/alpha is 6.959784657392605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2893720777736911
the lambda is 2.0
the regulation term lambda/alpha is 6.911516879538522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28079022477180093
the lambda is 2.0
the regulation term lambda/alpha is 7.122755080328762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3432575774060762
the lambda is 2.0
the regulation term lambda/alpha is 5.826528332203386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27475615648330354
the lambda is 2.0
the regulation term lambda/alpha is 7.279181750096787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31573782220871605
the lambda is 2.0
the regulation term lambda/alpha is 6.3343694018321175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30483586796243145
the lambda is 2.0
the regulation term lambda/alpha is 6.560907721812066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2943283333467265
the lambda is 2.0
the regulation term lambda/alpha is 6.795132419833831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33134450969245577
the lambda is 2.0
the regulation term lambda/alpha is 6.036013700231041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35802608177820033
the lambda is 2.0
the regulation term lambda/alpha is 5.586185202113331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28627063547311365
the lambda is 2.0
the regulation term lambda/alpha is 6.986395921099769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29893476224478643
the lambda is 2.0
the regulation term lambda/alpha is 6.690422970488374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3706670894046235
the lambda is 2.0
the regulation term lambda/alpha is 5.395677299574827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3075337851947485
the lambda is 2.0
the regulation term lambda/alpha is 6.50335051393941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31378008800995594
the lambda is 2.0
the regulation term lambda/alpha is 6.373890748403837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2985652571157788
the lambda is 2.0
the regulation term lambda/alpha is 6.698703055139574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2856978622394192
the lambda is 2.0
the regulation term lambda/alpha is 7.000402398264953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34883847442852745
the lambda is 2.0
the regulation term lambda/alpha is 5.733312540356768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3158104077203161
the lambda is 2.0
the regulation term lambda/alpha is 6.332913517439279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2864172902445129
the lambda is 2.0
the regulation term lambda/alpha is 6.982818663959186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3528793353374524
the lambda is 2.0
the regulation term lambda/alpha is 5.667659734417247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3224410033662145
the lambda is 2.0
the regulation term lambda/alpha is 6.20268507764345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3793121555210991
the lambda is 2.0
the regulation term lambda/alpha is 5.272702102711156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2606519916758579
the lambda is 2.0
the regulation term lambda/alpha is 7.673066248759625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32233418096040495
the lambda is 2.0
the regulation term lambda/alpha is 6.204740663993301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30699948612653294
the lambda is 2.0
the regulation term lambda/alpha is 6.514668885066732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3002784509734281
the lambda is 2.0
the regulation term lambda/alpha is 6.6604846052605415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3422197527537318
the lambda is 2.0
the regulation term lambda/alpha is 5.8441980157680735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33148219538674917
the lambda is 2.0
the regulation term lambda/alpha is 6.033506558826022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30144413145743376
the lambda is 2.0
the regulation term lambda/alpha is 6.634728599061864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28701973287757443
the lambda is 2.0
the regulation term lambda/alpha is 6.968162014327709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30513023848641574
the lambda is 2.0
the regulation term lambda/alpha is 6.554578169377464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32222779099711774
the lambda is 2.0
the regulation term lambda/alpha is 6.206789283478933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37871118711922513
the lambda is 2.0
the regulation term lambda/alpha is 5.281069236991839
510
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077300522776979
the lambda is 2.0
the regulation term lambda/alpha is 6.499202743433017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3182650688415047
the lambda is 2.0
the regulation term lambda/alpha is 6.284070090632522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33886845184942554
the lambda is 2.0
the regulation term lambda/alpha is 5.901995270095812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29355441223105516
the lambda is 2.0
the regulation term lambda/alpha is 6.813046974152821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29338958784136443
the lambda is 2.0
the regulation term lambda/alpha is 6.816874500268219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37970578415516093
the lambda is 2.0
the regulation term lambda/alpha is 5.2672360639698095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3606742676034674
the lambda is 2.0
the regulation term lambda/alpha is 5.545169643759673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31503305771298074
the lambda is 2.0
the regulation term lambda/alpha is 6.348540100899993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35504317203290703
the lambda is 2.0
the regulation term lambda/alpha is 5.633117765787173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3923866871251131
the lambda is 2.0
the regulation term lambda/alpha is 5.097012884543397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3714868322343839
the lambda is 2.0
the regulation term lambda/alpha is 5.383770907761626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25651116776464555
the lambda is 2.0
the regulation term lambda/alpha is 7.796931484227004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3333642325418565
the lambda is 2.0
the regulation term lambda/alpha is 5.999443865798903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143504165788571
the lambda is 2.0
the regulation term lambda/alpha is 6.36232654553612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33344319511830905
the lambda is 2.0
the regulation term lambda/alpha is 5.998023139414735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36500463021040047
the lambda is 2.0
the regulation term lambda/alpha is 5.4793825460436905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3502461484794828
the lambda is 2.0
the regulation term lambda/alpha is 5.710269787926472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27842489465812065
the lambda is 2.0
the regulation term lambda/alpha is 7.183265714999409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31656720208204636
the lambda is 2.0
the regulation term lambda/alpha is 6.317773878172161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29975735440322293
the lambda is 2.0
the regulation term lambda/alpha is 6.672063155820594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.281423942800576
the lambda is 2.0
the regulation term lambda/alpha is 7.106715868227495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.302736085125191
the lambda is 2.0
the regulation term lambda/alpha is 6.606414293733555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3472497075203942
the lambda is 2.0
the regulation term lambda/alpha is 5.759544087974613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35699765972821024
the lambda is 2.0
the regulation term lambda/alpha is 5.602277621434946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26726477010426636
the lambda is 2.0
the regulation term lambda/alpha is 7.483215985480437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3354787707702934
the lambda is 2.0
the regulation term lambda/alpha is 5.961629093274058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34293465727840383
the lambda is 2.0
the regulation term lambda/alpha is 5.832014809679457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2869648489916875
the lambda is 2.0
the regulation term lambda/alpha is 6.969494720441993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28398069403098125
the lambda is 2.0
the regulation term lambda/alpha is 7.042732277363219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28237565322778624
the lambda is 2.0
the regulation term lambda/alpha is 7.0827636063462025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3070412892697214
the lambda is 2.0
the regulation term lambda/alpha is 6.513781924108238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.341287668366688
the lambda is 2.0
the regulation term lambda/alpha is 5.86015899599147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29892277350211716
the lambda is 2.0
the regulation term lambda/alpha is 6.69069129985787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29968815962753415
the lambda is 2.0
the regulation term lambda/alpha is 6.673603663507058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3492295800564695
the lambda is 2.0
the regulation term lambda/alpha is 5.726891747476275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3256601433753355
the lambda is 2.0
the regulation term lambda/alpha is 6.141371735794285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2572810765006942
the lambda is 2.0
the regulation term lambda/alpha is 7.773599314812427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3051458425486254
the lambda is 2.0
the regulation term lambda/alpha is 6.554242991795955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3553353951709832
the lambda is 2.0
the regulation term lambda/alpha is 5.628485164101436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3136189705912936
the lambda is 2.0
the regulation term lambda/alpha is 6.377165246825544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30688791940316473
the lambda is 2.0
the regulation term lambda/alpha is 6.517037242422568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33126660619676435
the lambda is 2.0
the regulation term lambda/alpha is 6.0374331809710045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28707806444866896
the lambda is 2.0
the regulation term lambda/alpha is 6.966746149138853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35131519045086773
the lambda is 2.0
the regulation term lambda/alpha is 5.692893601991016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31532380830663165
the lambda is 2.0
the regulation term lambda/alpha is 6.342686303138683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32260240044482086
the lambda is 2.0
the regulation term lambda/alpha is 6.1995818916483465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30493537821872835
the lambda is 2.0
the regulation term lambda/alpha is 6.558766685856345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3386194970521863
the lambda is 2.0
the regulation term lambda/alpha is 5.9063344473982555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2704966838755075
the lambda is 2.0
the regulation term lambda/alpha is 7.393805984403392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2993596242764682
the lambda is 2.0
the regulation term lambda/alpha is 6.680927679655745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3005590227658439
the lambda is 2.0
the regulation term lambda/alpha is 6.6542670441077965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29952289844770713
the lambda is 2.0
the regulation term lambda/alpha is 6.677285811419104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31738057929805463
the lambda is 2.0
the regulation term lambda/alpha is 6.3015828013905795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3020032882723198
the lambda is 2.0
the regulation term lambda/alpha is 6.622444449004069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40408627028012595
the lambda is 2.0
the regulation term lambda/alpha is 4.949438145011792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30325716446967527
the lambda is 2.0
the regulation term lambda/alpha is 6.595062654158641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2993317528411948
the lambda is 2.0
the regulation term lambda/alpha is 6.681549755468358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35627174192559585
the lambda is 2.0
the regulation term lambda/alpha is 5.613692484254567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31633548590155375
the lambda is 2.0
the regulation term lambda/alpha is 6.32240165626697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3082692323264915
the lambda is 2.0
the regulation term lambda/alpha is 6.487835276021893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3114595741610685
the lambda is 2.0
the regulation term lambda/alpha is 6.42137909995895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2945476384560407
the lambda is 2.0
the regulation term lambda/alpha is 6.790073111716653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28315502040319446
the lambda is 2.0
the regulation term lambda/alpha is 7.063268725209707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33948362975161117
the lambda is 2.0
the regulation term lambda/alpha is 5.891300271130402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4195520420985715
the lambda is 2.0
the regulation term lambda/alpha is 4.766989072430997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3173586682790257
the lambda is 2.0
the regulation term lambda/alpha is 6.302017874115778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2682381062331625
the lambda is 2.0
the regulation term lambda/alpha is 7.45606218328102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29842759401629615
the lambda is 2.0
the regulation term lambda/alpha is 6.701793132074732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.313429247465901
the lambda is 2.0
the regulation term lambda/alpha is 6.381025434512415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34135385812364727
the lambda is 2.0
the regulation term lambda/alpha is 5.859022689808146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31226529888622
the lambda is 2.0
the regulation term lambda/alpha is 6.404810291548723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3451445687360147
the lambda is 2.0
the regulation term lambda/alpha is 5.794673250471193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32796049187649645
the lambda is 2.0
the regulation term lambda/alpha is 6.098295525038916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32965257916774743
the lambda is 2.0
the regulation term lambda/alpha is 6.066993332948496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32237262749522827
the lambda is 2.0
the regulation term lambda/alpha is 6.204000679398885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3060725544408749
the lambda is 2.0
the regulation term lambda/alpha is 6.534398367254934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37517719796815785
the lambda is 2.0
the regulation term lambda/alpha is 5.330814374731123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124784867745467
the lambda is 2.0
the regulation term lambda/alpha is 6.400440621190669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31911448496124317
the lambda is 2.0
the regulation term lambda/alpha is 6.2673432083250695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29842993457352035
the lambda is 2.0
the regulation term lambda/alpha is 6.7017405705568915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32838971435270586
the lambda is 2.0
the regulation term lambda/alpha is 6.090324734872502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33781599792086564
the lambda is 2.0
the regulation term lambda/alpha is 5.920382729975108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33363830586691035
the lambda is 2.0
the regulation term lambda/alpha is 5.994515512249987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29340735841432236
the lambda is 2.0
the regulation term lambda/alpha is 6.816461627986124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31063356013166055
the lambda is 2.0
the regulation term lambda/alpha is 6.438454361313406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2943502521650425
the lambda is 2.0
the regulation term lambda/alpha is 6.794626419679769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3336766693696783
the lambda is 2.0
the regulation term lambda/alpha is 5.993826310296248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2921564571949151
the lambda is 2.0
the regulation term lambda/alpha is 6.845647086505022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33496275879760756
the lambda is 2.0
the regulation term lambda/alpha is 5.970813015689447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23101564695036356
the lambda is 2.0
the regulation term lambda/alpha is 8.657422241315643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.42087331710821074
the lambda is 2.0
the regulation term lambda/alpha is 4.752023753232567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2801085251978407
the lambda is 2.0
the regulation term lambda/alpha is 7.14008971553936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3782503428226812
the lambda is 2.0
the regulation term lambda/alpha is 5.287503469461688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3666009529903634
the lambda is 2.0
the regulation term lambda/alpha is 5.455523188595128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2998513494807213
the lambda is 2.0
the regulation term lambda/alpha is 6.669971649164075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34418244847698054
the lambda is 2.0
the regulation term lambda/alpha is 5.810871556205351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3035665468758207
the lambda is 2.0
the regulation term lambda/alpha is 6.588341240440225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3186759448506626
the lambda is 2.0
the regulation term lambda/alpha is 6.2759678987921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32973809868526194
the lambda is 2.0
the regulation term lambda/alpha is 6.065419822502884
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27606183180468113
the lambda is 2.0
the regulation term lambda/alpha is 7.244753781881144
520
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3477324327369374
the lambda is 2.0
the regulation term lambda/alpha is 5.751548638297473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3254137561356599
the lambda is 2.0
the regulation term lambda/alpha is 6.146021679446862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32149668702098894
the lambda is 2.0
the regulation term lambda/alpha is 6.2209039182709525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38633700212791583
the lambda is 2.0
the regulation term lambda/alpha is 5.176827456298897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2824275058932409
the lambda is 2.0
the regulation term lambda/alpha is 7.0814632366438515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.334650114904865
the lambda is 2.0
the regulation term lambda/alpha is 5.976391194631933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3055940507489104
the lambda is 2.0
the regulation term lambda/alpha is 6.544630025023912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322853882689822
the lambda is 2.0
the regulation term lambda/alpha is 6.194752819254387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29063704348617164
the lambda is 2.0
the regulation term lambda/alpha is 6.881435263757625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25797357393304005
the lambda is 2.0
the regulation term lambda/alpha is 7.7527320706078315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3247265537441905
the lambda is 2.0
the regulation term lambda/alpha is 6.159028194459077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3322441844344971
the lambda is 2.0
the regulation term lambda/alpha is 6.019668947416311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34572496556604443
the lambda is 2.0
the regulation term lambda/alpha is 5.784945257642774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28537944669399584
the lambda is 2.0
the regulation term lambda/alpha is 7.008213181324661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31997779739646
the lambda is 2.0
the regulation term lambda/alpha is 6.250433674690101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27947187146813557
the lambda is 2.0
the regulation term lambda/alpha is 7.156355269292399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32479876507298133
the lambda is 2.0
the regulation term lambda/alpha is 6.157658880108753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2987080782246332
the lambda is 2.0
the regulation term lambda/alpha is 6.695500208387295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.41354377885672927
the lambda is 2.0
the regulation term lambda/alpha is 4.83624733886492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2704564717226346
the lambda is 2.0
the regulation term lambda/alpha is 7.394905314194482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909691124252047
the lambda is 2.0
the regulation term lambda/alpha is 6.873581815369189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3216404592830532
the lambda is 2.0
the regulation term lambda/alpha is 6.218123194010056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3454008007974186
the lambda is 2.0
the regulation term lambda/alpha is 5.7903745312189425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2836600907275367
the lambda is 2.0
the regulation term lambda/alpha is 7.050692238271386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29858702357113404
the lambda is 2.0
the regulation term lambda/alpha is 6.6982147317715865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28433933178362364
the lambda is 2.0
the regulation term lambda/alpha is 7.0338492654331715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3138514356178571
the lambda is 2.0
the regulation term lambda/alpha is 6.372441776672908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38533143125423586
the lambda is 2.0
the regulation term lambda/alpha is 5.19033703918233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30469790396012936
the lambda is 2.0
the regulation term lambda/alpha is 6.563878431739084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3348759527316401
the lambda is 2.0
the regulation term lambda/alpha is 5.972360761307761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3962372556493563
the lambda is 2.0
the regulation term lambda/alpha is 5.047480951084184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3483746777965489
the lambda is 2.0
the regulation term lambda/alpha is 5.740945388596819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31666636537918885
the lambda is 2.0
the regulation term lambda/alpha is 6.3157954827476575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3542201483675088
the lambda is 2.0
the regulation term lambda/alpha is 5.6462062059919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3662624969196301
the lambda is 2.0
the regulation term lambda/alpha is 5.460564531778598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33033104305023897
the lambda is 2.0
the regulation term lambda/alpha is 6.054532391301252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31736057696552017
the lambda is 2.0
the regulation term lambda/alpha is 6.301979972191981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3210586736053883
the lambda is 2.0
the regulation term lambda/alpha is 6.229390963155197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2949315141744682
the lambda is 2.0
the regulation term lambda/alpha is 6.781235316945106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3544140107718634
the lambda is 2.0
the regulation term lambda/alpha is 5.643117764007929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31869858535522194
the lambda is 2.0
the regulation term lambda/alpha is 6.275522050939752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37054282983284653
the lambda is 2.0
the regulation term lambda/alpha is 5.397486711326215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3820858584438758
the lambda is 2.0
the regulation term lambda/alpha is 5.234425603044866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.326901274506295
the lambda is 2.0
the regulation term lambda/alpha is 6.118055070358824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3480043453943855
the lambda is 2.0
the regulation term lambda/alpha is 5.747054674657711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3505735402614921
the lambda is 2.0
the regulation term lambda/alpha is 5.704937111078617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30142996760128715
the lambda is 2.0
the regulation term lambda/alpha is 6.6350403575183865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.42584986860500157
the lambda is 2.0
the regulation term lambda/alpha is 4.696490823283796
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38342067739265695
the lambda is 2.0
the regulation term lambda/alpha is 5.2162027713279056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3470436572637503
the lambda is 2.0
the regulation term lambda/alpha is 5.76296370251774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30468793622528273
the lambda is 2.0
the regulation term lambda/alpha is 6.564093166200132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35290535180637334
the lambda is 2.0
the regulation term lambda/alpha is 5.66724190994227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3958623459465336
the lambda is 2.0
the regulation term lambda/alpha is 5.052261273342038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32281726431203017
the lambda is 2.0
the regulation term lambda/alpha is 6.195455513391722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28162285709428636
the lambda is 2.0
the regulation term lambda/alpha is 7.101696292110292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3317827777776845
the lambda is 2.0
the regulation term lambda/alpha is 6.028040434757367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34212800243164415
the lambda is 2.0
the regulation term lambda/alpha is 5.845765286048435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191939620438026
the lambda is 2.0
the regulation term lambda/alpha is 6.26578268333767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3554014265535731
the lambda is 2.0
the regulation term lambda/alpha is 5.62743942643832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32081018806696887
the lambda is 2.0
the regulation term lambda/alpha is 6.234215976901898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3447356338324526
the lambda is 2.0
the regulation term lambda/alpha is 5.8015470514778125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3030069291156905
the lambda is 2.0
the regulation term lambda/alpha is 6.600509123130923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3273464776002106
the lambda is 2.0
the regulation term lambda/alpha is 6.109734293345924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28786447640897356
the lambda is 2.0
the regulation term lambda/alpha is 6.94771381640911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2930572531570975
the lambda is 2.0
the regulation term lambda/alpha is 6.824605016439813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35688630280585104
the lambda is 2.0
the regulation term lambda/alpha is 5.60402566384851
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23973009525855724
the lambda is 2.0
the regulation term lambda/alpha is 8.342715577044803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31075427233745245
the lambda is 2.0
the regulation term lambda/alpha is 6.435953349752089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3565790190995793
the lambda is 2.0
the regulation term lambda/alpha is 5.608854960256297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3521179882479735
the lambda is 2.0
the regulation term lambda/alpha is 5.679914309267073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32184885271016395
the lambda is 2.0
the regulation term lambda/alpha is 6.214097030822941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3341895088171489
the lambda is 2.0
the regulation term lambda/alpha is 5.98462832384812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29531900687434476
the lambda is 2.0
the regulation term lambda/alpha is 6.772337551747828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2749883943196037
the lambda is 2.0
the regulation term lambda/alpha is 7.273034212765762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.310682730590959
the lambda is 2.0
the regulation term lambda/alpha is 6.437435374009168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3318377710064072
the lambda is 2.0
the regulation term lambda/alpha is 6.027041448399144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29476815720855926
the lambda is 2.0
the regulation term lambda/alpha is 6.784993395962125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3528637062274508
the lambda is 2.0
the regulation term lambda/alpha is 5.667910767538188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3823423638409747
the lambda is 2.0
the regulation term lambda/alpha is 5.230913937728982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.306037761165393
the lambda is 2.0
the regulation term lambda/alpha is 6.535141259640615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30714591289587007
the lambda is 2.0
the regulation term lambda/alpha is 6.511563123674215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046992274867191
the lambda is 2.0
the regulation term lambda/alpha is 6.563849920122209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33667094264881864
the lambda is 2.0
the regulation term lambda/alpha is 5.940518609252832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35862488886065597
the lambda is 2.0
the regulation term lambda/alpha is 5.576857775694151
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3488001515438107
the lambda is 2.0
the regulation term lambda/alpha is 5.733942462891367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33456257750539603
the lambda is 2.0
the regulation term lambda/alpha is 5.977954901330059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37132596519730215
the lambda is 2.0
the regulation term lambda/alpha is 5.386103282428176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30272975694289334
the lambda is 2.0
the regulation term lambda/alpha is 6.606552392460309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3207706437377515
the lambda is 2.0
the regulation term lambda/alpha is 6.23498452568844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36758801501608224
the lambda is 2.0
the regulation term lambda/alpha is 5.440873799741536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.296121877336043
the lambda is 2.0
the regulation term lambda/alpha is 6.7539758223617286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3306478985998577
the lambda is 2.0
the regulation term lambda/alpha is 6.048730412227276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2866112385765336
the lambda is 2.0
the regulation term lambda/alpha is 6.978093426946835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3377032395181308
the lambda is 2.0
the regulation term lambda/alpha is 5.92235953333999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2923233552937278
the lambda is 2.0
the regulation term lambda/alpha is 6.841738656120689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3439168511185335
the lambda is 2.0
the regulation term lambda/alpha is 5.81535912967139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3635465734471183
the lambda is 2.0
the regulation term lambda/alpha is 5.501358412035538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087215251206177
the lambda is 2.0
the regulation term lambda/alpha is 6.478330266147133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2732667120012552
the lambda is 2.0
the regulation term lambda/alpha is 7.3188570439227645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2978090941547685
the lambda is 2.0
the regulation term lambda/alpha is 6.715711639620445
530
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3543940348794951
the lambda is 2.0
the regulation term lambda/alpha is 5.643435845865921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3252032725257549
the lambda is 2.0
the regulation term lambda/alpha is 6.149999612447342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3185651144640995
the lambda is 2.0
the regulation term lambda/alpha is 6.278151339215106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.320269165862577
the lambda is 2.0
the regulation term lambda/alpha is 6.244747272543158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34233217507620933
the lambda is 2.0
the regulation term lambda/alpha is 5.842278773693311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29852492544160997
the lambda is 2.0
the regulation term lambda/alpha is 6.699608071390978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3425237722311449
the lambda is 2.0
the regulation term lambda/alpha is 5.839010784484595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32463874986253166
the lambda is 2.0
the regulation term lambda/alpha is 6.160694004788093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3411726311569393
the lambda is 2.0
the regulation term lambda/alpha is 5.862134935085108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3193456090234962
the lambda is 2.0
the regulation term lambda/alpha is 6.2628072642540955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30527210463693605
the lambda is 2.0
the regulation term lambda/alpha is 6.55153212370526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.330789348121807
the lambda is 2.0
the regulation term lambda/alpha is 6.046143902020501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3027309687382078
the lambda is 2.0
the regulation term lambda/alpha is 6.606525947233158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32872050088099364
the lambda is 2.0
the regulation term lambda/alpha is 6.084196132093562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30091106771808906
the lambda is 2.0
the regulation term lambda/alpha is 6.646482015987913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34608586401423386
the lambda is 2.0
the regulation term lambda/alpha is 5.778912714902865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.294232889910347
the lambda is 2.0
the regulation term lambda/alpha is 6.797336628850029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3453829745812659
the lambda is 2.0
the regulation term lambda/alpha is 5.790673389227575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2844705272607457
the lambda is 2.0
the regulation term lambda/alpha is 7.030605311765039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2733697675155012
the lambda is 2.0
the regulation term lambda/alpha is 7.316097965685221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30690462936446017
the lambda is 2.0
the regulation term lambda/alpha is 6.5166824108896995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2641103540301332
the lambda is 2.0
the regulation term lambda/alpha is 7.572592173996379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046228291911208
the lambda is 2.0
the regulation term lambda/alpha is 6.56549610976529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2869314640586439
the lambda is 2.0
the regulation term lambda/alpha is 6.970305632258002
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30638064036902574
the lambda is 2.0
the regulation term lambda/alpha is 6.527827598999282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35945774043779166
the lambda is 2.0
the regulation term lambda/alpha is 5.563936382519278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35109779250788015
the lambda is 2.0
the regulation term lambda/alpha is 5.696418612358867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3771245552305295
the lambda is 2.0
the regulation term lambda/alpha is 5.303287659901741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3861919824072633
the lambda is 2.0
the regulation term lambda/alpha is 5.1787714170898465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968899480158575
the lambda is 2.0
the regulation term lambda/alpha is 6.736502914181439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.310614304753036
the lambda is 2.0
the regulation term lambda/alpha is 6.438853489346426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31025878891136893
the lambda is 2.0
the regulation term lambda/alpha is 6.446231570159762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.278779694380774
the lambda is 2.0
the regulation term lambda/alpha is 7.1741236550330685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3565494275942481
the lambda is 2.0
the regulation term lambda/alpha is 5.609320462227728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40540548732347664
the lambda is 2.0
the regulation term lambda/alpha is 4.9333323364816275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2947246379834826
the lambda is 2.0
the regulation term lambda/alpha is 6.785995272346682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28877761420472997
the lambda is 2.0
the regulation term lambda/alpha is 6.92574459245339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2730873149904787
the lambda is 2.0
the regulation term lambda/alpha is 7.323664960672855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26664623730449527
the lambda is 2.0
the regulation term lambda/alpha is 7.500574619832758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30224572228053953
the lambda is 2.0
the regulation term lambda/alpha is 6.617132526837328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28940849790636974
the lambda is 2.0
the regulation term lambda/alpha is 6.910647111153749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2747163555241107
the lambda is 2.0
the regulation term lambda/alpha is 7.280236359369103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27624591739406035
the lambda is 2.0
the regulation term lambda/alpha is 7.239926000958893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3460055276690521
the lambda is 2.0
the regulation term lambda/alpha is 5.780254475913931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2977348081068727
the lambda is 2.0
the regulation term lambda/alpha is 6.717387237041142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31109455147820936
the lambda is 2.0
the regulation term lambda/alpha is 6.4289136228735595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27141245338750186
the lambda is 2.0
the regulation term lambda/alpha is 7.368858632085513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2852559374217649
the lambda is 2.0
the regulation term lambda/alpha is 7.011247576743343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27647650146318914
the lambda is 2.0
the regulation term lambda/alpha is 7.233887832837344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280948571210393
the lambda is 2.0
the regulation term lambda/alpha is 6.09579807970647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2946291669924494
the lambda is 2.0
the regulation term lambda/alpha is 6.788194191416409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30452097967544395
the lambda is 2.0
the regulation term lambda/alpha is 6.56769199327936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32525527184141995
the lambda is 2.0
the regulation term lambda/alpha is 6.149016397726864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33860193962629453
the lambda is 2.0
the regulation term lambda/alpha is 5.9066407068055895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.275421502098078
the lambda is 2.0
the regulation term lambda/alpha is 7.261597169300882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3563758654760115
the lambda is 2.0
the regulation term lambda/alpha is 5.612052312601468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27410066958547696
the lambda is 2.0
the regulation term lambda/alpha is 7.296589253228036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3408177328544685
the lambda is 2.0
the regulation term lambda/alpha is 5.868239258706687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35946523420231347
the lambda is 2.0
the regulation term lambda/alpha is 5.563820391249197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3421305839875554
the lambda is 2.0
the regulation term lambda/alpha is 5.8457211766626145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29112166511432747
the lambda is 2.0
the regulation term lambda/alpha is 6.869979941941362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909693120173644
the lambda is 2.0
the regulation term lambda/alpha is 6.873577100394162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34447100517481405
the lambda is 2.0
the regulation term lambda/alpha is 5.806003901504073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3695375361761681
the lambda is 2.0
the regulation term lambda/alpha is 5.41217008885005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31890070059101466
the lambda is 2.0
the regulation term lambda/alpha is 6.271544704334061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29983043817001254
the lambda is 2.0
the regulation term lambda/alpha is 6.670436838257036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2942995568638419
the lambda is 2.0
the regulation term lambda/alpha is 6.79579684493138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3224372126672935
the lambda is 2.0
the regulation term lambda/alpha is 6.2027579988532455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3690805869822383
the lambda is 2.0
the regulation term lambda/alpha is 5.418870757611124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2815499862711152
the lambda is 2.0
the regulation term lambda/alpha is 7.1035343545501854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31088437624385895
the lambda is 2.0
the regulation term lambda/alpha is 6.4332599282222915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33327896516664723
the lambda is 2.0
the regulation term lambda/alpha is 6.000978786644856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32845310194319016
the lambda is 2.0
the regulation term lambda/alpha is 6.089149373738975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3129606213599139
the lambda is 2.0
the regulation term lambda/alpha is 6.390580358990089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29662423775274743
the lambda is 2.0
the regulation term lambda/alpha is 6.742537343381594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26855311966486495
the lambda is 2.0
the regulation term lambda/alpha is 7.4473162050616155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31174871944543353
the lambda is 2.0
the regulation term lambda/alpha is 6.415423304890486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.354417361915555
the lambda is 2.0
the regulation term lambda/alpha is 5.643064406298833
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30973095663852385
the lambda is 2.0
the regulation term lambda/alpha is 6.457217004414996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3270939220355874
the lambda is 2.0
the regulation term lambda/alpha is 6.1144517377562355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243586248339366
the lambda is 2.0
the regulation term lambda/alpha is 6.16601454955591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2989503584045086
the lambda is 2.0
the regulation term lambda/alpha is 6.6900739329230285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29992912130310606
the lambda is 2.0
the regulation term lambda/alpha is 6.668242121040375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124587744452955
the lambda is 2.0
the regulation term lambda/alpha is 6.4008444107565134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30606014344968185
the lambda is 2.0
the regulation term lambda/alpha is 6.53466334249697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3838117568466756
the lambda is 2.0
the regulation term lambda/alpha is 5.210887796746039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33048970836937974
the lambda is 2.0
the regulation term lambda/alpha is 6.051625661409862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35606914477963264
the lambda is 2.0
the regulation term lambda/alpha is 5.616886577571271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3139886309669433
the lambda is 2.0
the regulation term lambda/alpha is 6.369657378488204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3193948768333994
the lambda is 2.0
the regulation term lambda/alpha is 6.261841203681005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32478973298516206
the lambda is 2.0
the regulation term lambda/alpha is 6.157830118636692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3247495752471792
the lambda is 2.0
the regulation term lambda/alpha is 6.158591580844177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2700626881982611
the lambda is 2.0
the regulation term lambda/alpha is 7.405687965794593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2929424131674738
the lambda is 2.0
the regulation term lambda/alpha is 6.827280414518226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2746311692953616
the lambda is 2.0
the regulation term lambda/alpha is 7.282494573108819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28725235387026615
the lambda is 2.0
the regulation term lambda/alpha is 6.962519098810499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2882928993987815
the lambda is 2.0
the regulation term lambda/alpha is 6.937389037922497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.305770283406251
the lambda is 2.0
the regulation term lambda/alpha is 6.540857985675377
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36742229842679036
the lambda is 2.0
the regulation term lambda/alpha is 5.443327769064359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3012673611950812
the lambda is 2.0
the regulation term lambda/alpha is 6.638621562144364
540
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2900300912771384
the lambda is 2.0
the regulation term lambda/alpha is 6.895836191317469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38754569090709207
the lambda is 2.0
the regulation term lambda/alpha is 5.160681816171885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28373743098521387
the lambda is 2.0
the regulation term lambda/alpha is 7.048770382728334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33042755032221655
the lambda is 2.0
the regulation term lambda/alpha is 6.05276405690052
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2738310939746523
the lambda is 2.0
the regulation term lambda/alpha is 7.303772449541958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33018840396445165
the lambda is 2.0
the regulation term lambda/alpha is 6.057147907033469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2920277072315452
the lambda is 2.0
the regulation term lambda/alpha is 6.848665213860082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30595340016461403
the lambda is 2.0
the regulation term lambda/alpha is 6.536943204173993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2776347166978792
the lambda is 2.0
the regulation term lambda/alpha is 7.203710053942536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3478902069944634
the lambda is 2.0
the regulation term lambda/alpha is 5.748940210989698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29078062442602537
the lambda is 2.0
the regulation term lambda/alpha is 6.878037365618218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33499486567357134
the lambda is 2.0
the regulation term lambda/alpha is 5.970240755716112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3390666813616552
the lambda is 2.0
the regulation term lambda/alpha is 5.898544769920229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31105257577233786
the lambda is 2.0
the regulation term lambda/alpha is 6.429781187421569
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3359973792042611
the lambda is 2.0
the regulation term lambda/alpha is 5.952427381239039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28570655831560915
the lambda is 2.0
the regulation term lambda/alpha is 7.000189326388077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3046617177701418
the lambda is 2.0
the regulation term lambda/alpha is 6.564658056280443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30920968692385503
the lambda is 2.0
the regulation term lambda/alpha is 6.468102664883567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3258953235836808
the lambda is 2.0
the regulation term lambda/alpha is 6.136939855433231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3608903981741284
the lambda is 2.0
the regulation term lambda/alpha is 5.541848744435165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32354101106781713
the lambda is 2.0
the regulation term lambda/alpha is 6.181596556798736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3440394088878175
the lambda is 2.0
the regulation term lambda/alpha is 5.8132875139666025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3236597079973735
the lambda is 2.0
the regulation term lambda/alpha is 6.1793295568821005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096621182425131
the lambda is 2.0
the regulation term lambda/alpha is 6.45865245432989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33044634282936675
the lambda is 2.0
the regulation term lambda/alpha is 6.05241983577571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2918438719026526
the lambda is 2.0
the regulation term lambda/alpha is 6.852979255521664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35377549689801885
the lambda is 2.0
the regulation term lambda/alpha is 5.65330277969062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3508945935211726
the lambda is 2.0
the regulation term lambda/alpha is 5.699717342265982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25800104260870577
the lambda is 2.0
the regulation term lambda/alpha is 7.751906658118728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2976831046919871
the lambda is 2.0
the regulation term lambda/alpha is 6.718553953773767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3335278670706158
the lambda is 2.0
the regulation term lambda/alpha is 5.996500435079244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2868045314530226
the lambda is 2.0
the regulation term lambda/alpha is 6.973390517463256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33414792727614223
the lambda is 2.0
the regulation term lambda/alpha is 5.98537305409405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33480960745742205
the lambda is 2.0
the regulation term lambda/alpha is 5.973544233656262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2636768159060682
the lambda is 2.0
the regulation term lambda/alpha is 7.585043050248593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280602711233189
the lambda is 2.0
the regulation term lambda/alpha is 6.096440733746127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2796586531831139
the lambda is 2.0
the regulation term lambda/alpha is 7.151575598450899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3625154681617141
the lambda is 2.0
the regulation term lambda/alpha is 5.517005964302252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35420963547136847
the lambda is 2.0
the regulation term lambda/alpha is 5.646373784661384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30971572881439113
the lambda is 2.0
the regulation term lambda/alpha is 6.457534487047559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3349834625546422
the lambda is 2.0
the regulation term lambda/alpha is 5.970443987734953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27633187225222455
the lambda is 2.0
the regulation term lambda/alpha is 7.237673974048426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32905271565144306
the lambda is 2.0
the regulation term lambda/alpha is 6.078053469458516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143067067040342
the lambda is 2.0
the regulation term lambda/alpha is 6.363211338927275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3098387704704586
the lambda is 2.0
the regulation term lambda/alpha is 6.454970102557546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31153682796804133
the lambda is 2.0
the regulation term lambda/alpha is 6.4197867489527365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36028134868099176
the lambda is 2.0
the regulation term lambda/alpha is 5.551217145495045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27149369705232135
the lambda is 2.0
the regulation term lambda/alpha is 7.366653523505434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2704932049890772
the lambda is 2.0
the regulation term lambda/alpha is 7.393901078146352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29495442689583856
the lambda is 2.0
the regulation term lambda/alpha is 6.78070853537753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34381109228870144
the lambda is 2.0
the regulation term lambda/alpha is 5.817147977065792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32023948459787965
the lambda is 2.0
the regulation term lambda/alpha is 6.245326064371396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32605301641603723
the lambda is 2.0
the regulation term lambda/alpha is 6.133971775461323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2932688684665106
the lambda is 2.0
the regulation term lambda/alpha is 6.819680556132356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36032067723655775
the lambda is 2.0
the regulation term lambda/alpha is 5.550611237020294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32966081190466096
the lambda is 2.0
the regulation term lambda/alpha is 6.066841819762328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3321680932475461
the lambda is 2.0
the regulation term lambda/alpha is 6.021047899111469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2940067786253589
the lambda is 2.0
the regulation term lambda/alpha is 6.802564244780629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30145114420531294
the lambda is 2.0
the regulation term lambda/alpha is 6.634574253391575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3202160180630911
the lambda is 2.0
the regulation term lambda/alpha is 6.245783743416442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3369666815418126
the lambda is 2.0
the regulation term lambda/alpha is 5.935304911598002
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2745127165664238
the lambda is 2.0
the regulation term lambda/alpha is 7.285636982562374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3898847071364708
the lambda is 2.0
the regulation term lambda/alpha is 5.129721590490449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262635587849583
the lambda is 2.0
the regulation term lambda/alpha is 6.1300134389762135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.24534785609915702
the lambda is 2.0
the regulation term lambda/alpha is 8.151691365062112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31781523089621877
the lambda is 2.0
the regulation term lambda/alpha is 6.292964608272948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3413050258522725
the lambda is 2.0
the regulation term lambda/alpha is 5.8598609704202325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2930655159837459
the lambda is 2.0
the regulation term lambda/alpha is 6.824412600324238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31048932740528945
the lambda is 2.0
the regulation term lambda/alpha is 6.441445239724295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3351129653746435
the lambda is 2.0
the regulation term lambda/alpha is 5.968136737902922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212545558058714
the lambda is 2.0
the regulation term lambda/alpha is 6.225592645629485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.292314151625166
the lambda is 2.0
the regulation term lambda/alpha is 6.841954071948583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34152976910671
the lambda is 2.0
the regulation term lambda/alpha is 5.8560048959454125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2839844355654924
the lambda is 2.0
the regulation term lambda/alpha is 7.042639488384076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3845294834798366
the lambda is 2.0
the regulation term lambda/alpha is 5.201161642797341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26620798657644595
the lambda is 2.0
the regulation term lambda/alpha is 7.512922605068678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2924520511970375
the lambda is 2.0
the regulation term lambda/alpha is 6.838727893388972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280089727531282
the lambda is 2.0
the regulation term lambda/alpha is 6.097394175571151
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3161271143819957
the lambda is 2.0
the regulation term lambda/alpha is 6.326568993962593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32035170781177325
the lambda is 2.0
the regulation term lambda/alpha is 6.243138248462611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191894611040834
the lambda is 2.0
the regulation term lambda/alpha is 6.265871038103688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2819796185088862
the lambda is 2.0
the regulation term lambda/alpha is 7.092711205781608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3405753318557904
the lambda is 2.0
the regulation term lambda/alpha is 5.872415917800114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.34949803450105926
the lambda is 2.0
the regulation term lambda/alpha is 5.722492839924507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28810047548860795
the lambda is 2.0
the regulation term lambda/alpha is 6.942022558651014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3027210407609618
the lambda is 2.0
the regulation term lambda/alpha is 6.6067426135049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4140227668102734
the lambda is 2.0
the regulation term lambda/alpha is 4.830652225742222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34264409000530666
the lambda is 2.0
the regulation term lambda/alpha is 5.836960444784047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2879619271276256
the lambda is 2.0
the regulation term lambda/alpha is 6.945362603833368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3922730940840629
the lambda is 2.0
the regulation term lambda/alpha is 5.098488859323617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3073944233646078
the lambda is 2.0
the regulation term lambda/alpha is 6.506298904543732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33082861991055457
the lambda is 2.0
the regulation term lambda/alpha is 6.045426180300652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28626451574952366
the lambda is 2.0
the regulation term lambda/alpha is 6.986545275314403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3424968407343974
the lambda is 2.0
the regulation term lambda/alpha is 5.839469922442229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34285790072110656
the lambda is 2.0
the regulation term lambda/alpha is 5.833320439148564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31747136805072396
the lambda is 2.0
the regulation term lambda/alpha is 6.299780708666774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27148089760726657
the lambda is 2.0
the regulation term lambda/alpha is 7.3670008373600835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3058015984765798
the lambda is 2.0
the regulation term lambda/alpha is 6.540188180714081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28056853499267626
the lambda is 2.0
the regulation term lambda/alpha is 7.128383088475001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33099399738230956
the lambda is 2.0
the regulation term lambda/alpha is 6.042405650305285
550
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3375200906729178
the lambda is 2.0
the regulation term lambda/alpha is 5.925573188880627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30923457573878405
the lambda is 2.0
the regulation term lambda/alpha is 6.467582078174323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33106803776691657
the lambda is 2.0
the regulation term lambda/alpha is 6.041054320707545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31629476841537796
the lambda is 2.0
the regulation term lambda/alpha is 6.323215556235428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3943070668133042
the lambda is 2.0
the regulation term lambda/alpha is 5.072189083912504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32021892028344306
the lambda is 2.0
the regulation term lambda/alpha is 6.245727136390604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3506118170244353
the lambda is 2.0
the regulation term lambda/alpha is 5.704314295432357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3059213749566386
the lambda is 2.0
the regulation term lambda/alpha is 6.537627520415926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3324612144684567
the lambda is 2.0
the regulation term lambda/alpha is 6.015739319239466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3205681974727399
the lambda is 2.0
the regulation term lambda/alpha is 6.2389220632844395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32408434878771425
the lambda is 2.0
the regulation term lambda/alpha is 6.1712329135340775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4034174411175194
the lambda is 2.0
the regulation term lambda/alpha is 4.957643860066478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38444237180147794
the lambda is 2.0
the regulation term lambda/alpha is 5.202340185937619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31928575313753854
the lambda is 2.0
the regulation term lambda/alpha is 6.263981340684691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3308128993235404
the lambda is 2.0
the regulation term lambda/alpha is 6.045713465495695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38930317043831336
the lambda is 2.0
the regulation term lambda/alpha is 5.137384310916903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31259066253415746
the lambda is 2.0
the regulation term lambda/alpha is 6.398143769830155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2553326511069062
the lambda is 2.0
the regulation term lambda/alpha is 7.8329191011399955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31856810666631197
the lambda is 2.0
the regulation term lambda/alpha is 6.278092370668243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33681774476060705
the lambda is 2.0
the regulation term lambda/alpha is 5.937929432493227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3831674516930466
the lambda is 2.0
the regulation term lambda/alpha is 5.219650028108831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3066761295475165
the lambda is 2.0
the regulation term lambda/alpha is 6.521537893904193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968682608268986
the lambda is 2.0
the regulation term lambda/alpha is 6.736995037560392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2875251177099405
the lambda is 2.0
the regulation term lambda/alpha is 6.955914029109724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31220404839309224
the lambda is 2.0
the regulation term lambda/alpha is 6.406066834475589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2863500993193381
the lambda is 2.0
the regulation term lambda/alpha is 6.984457154909511
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2849051406449244
the lambda is 2.0
the regulation term lambda/alpha is 7.019880355520114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34075034496417134
the lambda is 2.0
the regulation term lambda/alpha is 5.869399780681932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2860208012993053
the lambda is 2.0
the regulation term lambda/alpha is 6.992498415900556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31887388792228216
the lambda is 2.0
the regulation term lambda/alpha is 6.272072050275411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28543821069645886
the lambda is 2.0
the regulation term lambda/alpha is 7.00677037990139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34382158294631987
the lambda is 2.0
the regulation term lambda/alpha is 5.8169704846954176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28848532989331044
the lambda is 2.0
the regulation term lambda/alpha is 6.932761540212992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3061762161226739
the lambda is 2.0
the regulation term lambda/alpha is 6.532186024529976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.35114442541704627
the lambda is 2.0
the regulation term lambda/alpha is 5.695662112888864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35193263975770556
the lambda is 2.0
the regulation term lambda/alpha is 5.682905687227352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28531335631950766
the lambda is 2.0
the regulation term lambda/alpha is 7.0098365733719925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3469268897438458
the lambda is 2.0
the regulation term lambda/alpha is 5.7649033820258335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2654426209878555
the lambda is 2.0
the regulation term lambda/alpha is 7.534585035955865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3493253867050003
the lambda is 2.0
the regulation term lambda/alpha is 5.725321079194762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29787247829494246
the lambda is 2.0
the regulation term lambda/alpha is 6.7142826065980925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.378218873900188
the lambda is 2.0
the regulation term lambda/alpha is 5.287943405298701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33103495856112625
the lambda is 2.0
the regulation term lambda/alpha is 6.041657982870398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3397897798162079
the lambda is 2.0
the regulation term lambda/alpha is 5.885992218723585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29894108217649545
the lambda is 2.0
the regulation term lambda/alpha is 6.690281527847001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31088640944873425
the lambda is 2.0
the regulation term lambda/alpha is 6.433217854541833
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2801501557578618
the lambda is 2.0
the regulation term lambda/alpha is 7.139028691915601
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31979587746346033
the lambda is 2.0
the regulation term lambda/alpha is 6.253989313006446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30803175257364634
the lambda is 2.0
the regulation term lambda/alpha is 6.492837128931461
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3303711495830553
the lambda is 2.0
the regulation term lambda/alpha is 6.053797380685628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3192056457192476
the lambda is 2.0
the regulation term lambda/alpha is 6.265553340992813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3525526759778097
the lambda is 2.0
the regulation term lambda/alpha is 5.672911131515233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149189169877561
the lambda is 2.0
the regulation term lambda/alpha is 6.350841096274185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3159286368488426
the lambda is 2.0
the regulation term lambda/alpha is 6.330543568156845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.374487845124948
the lambda is 2.0
the regulation term lambda/alpha is 5.340627275453224
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3473157697606942
the lambda is 2.0
the regulation term lambda/alpha is 5.758448576573502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3124016963365529
the lambda is 2.0
the regulation term lambda/alpha is 6.402013892541043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3170445387419274
the lambda is 2.0
the regulation term lambda/alpha is 6.308261949366015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3215873995558896
the lambda is 2.0
the regulation term lambda/alpha is 6.2191491419190825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3211978432810397
the lambda is 2.0
the regulation term lambda/alpha is 6.226691871807036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3404799234547868
the lambda is 2.0
the regulation term lambda/alpha is 5.874061470956555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33841813457293846
the lambda is 2.0
the regulation term lambda/alpha is 5.909848780780821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.323298272986716
the lambda is 2.0
the regulation term lambda/alpha is 6.186237809201591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33199790531366885
the lambda is 2.0
the regulation term lambda/alpha is 6.024134393590275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3811878537112937
the lambda is 2.0
the regulation term lambda/alpha is 5.246756895655893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3572097812271647
the lambda is 2.0
the regulation term lambda/alpha is 5.5989508269599035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28139621858430225
the lambda is 2.0
the regulation term lambda/alpha is 7.107416048666016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3546949196634495
the lambda is 2.0
the regulation term lambda/alpha is 5.638648565639705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33191905620794043
the lambda is 2.0
the regulation term lambda/alpha is 6.0255654581852065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3749127213348482
the lambda is 2.0
the regulation term lambda/alpha is 5.334574918874858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4069207442533892
the lambda is 2.0
the regulation term lambda/alpha is 4.914962012245318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2606818517838753
the lambda is 2.0
the regulation term lambda/alpha is 7.672187328399635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33775568340726875
the lambda is 2.0
the regulation term lambda/alpha is 5.921439958682746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36683030498568375
the lambda is 2.0
the regulation term lambda/alpha is 5.45211225140751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249690960859004
the lambda is 2.0
the regulation term lambda/alpha is 6.1544313723645026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3254392172501412
the lambda is 2.0
the regulation term lambda/alpha is 6.145540838314969
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3049880131999675
the lambda is 2.0
the regulation term lambda/alpha is 6.557634770677647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.327555043195596
the lambda is 2.0
the regulation term lambda/alpha is 6.105844014759136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3150407091248665
the lambda is 2.0
the regulation term lambda/alpha is 6.3483859135401435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31101840800268715
the lambda is 2.0
the regulation term lambda/alpha is 6.430487548449931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3734836300700126
the lambda is 2.0
the regulation term lambda/alpha is 5.354987043542131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245372566169809
the lambda is 2.0
the regulation term lambda/alpha is 6.162620652088648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3390973107569137
the lambda is 2.0
the regulation term lambda/alpha is 5.898011976372547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31997886087921346
the lambda is 2.0
the regulation term lambda/alpha is 6.250412900728982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3285468755377392
the lambda is 2.0
the regulation term lambda/alpha is 6.087411413444612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3158010609030958
the lambda is 2.0
the regulation term lambda/alpha is 6.333100953747917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3377803520212627
the lambda is 2.0
the regulation term lambda/alpha is 5.921007506896385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29544320572751537
the lambda is 2.0
the regulation term lambda/alpha is 6.769490586439757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32567857528927435
the lambda is 2.0
the regulation term lambda/alpha is 6.141024162315741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30870146407407706
the lambda is 2.0
the regulation term lambda/alpha is 6.478751262158164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3579191705802619
the lambda is 2.0
the regulation term lambda/alpha is 5.5878538072089885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.302374020433899
the lambda is 2.0
the regulation term lambda/alpha is 6.614324858762837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3507996053947636
the lambda is 2.0
the regulation term lambda/alpha is 5.701260689131476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32048768298728125
the lambda is 2.0
the regulation term lambda/alpha is 6.240489435843221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2629323856315238
the lambda is 2.0
the regulation term lambda/alpha is 7.60651828870872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35714453653163136
the lambda is 2.0
the regulation term lambda/alpha is 5.599973667307844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2713157975381237
the lambda is 2.0
the regulation term lambda/alpha is 7.371483777014392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3275559101922136
the lambda is 2.0
the regulation term lambda/alpha is 6.105827853407917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3154925661732504
the lambda is 2.0
the regulation term lambda/alpha is 6.339293582282743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32645595810517175
the lambda is 2.0
the regulation term lambda/alpha is 6.126400668587816
560
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3303676733541383
the lambda is 2.0
the regulation term lambda/alpha is 6.053861080578837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2991842292110628
the lambda is 2.0
the regulation term lambda/alpha is 6.684844335792439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.282531617697316
the lambda is 2.0
the regulation term lambda/alpha is 7.07885374493787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.379019293123725
the lambda is 2.0
the regulation term lambda/alpha is 5.276776238794606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3236963307902982
the lambda is 2.0
the regulation term lambda/alpha is 6.178630431543786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30542604784726535
the lambda is 2.0
the regulation term lambda/alpha is 6.548229969567434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32101559604792945
the lambda is 2.0
the regulation term lambda/alpha is 6.230226894338768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29268097460700043
the lambda is 2.0
the regulation term lambda/alpha is 6.833378912604466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033473692713084
the lambda is 2.0
the regulation term lambda/alpha is 6.593101515283741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33704942730592036
the lambda is 2.0
the regulation term lambda/alpha is 5.933847791958167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.306259953773703
the lambda is 2.0
the regulation term lambda/alpha is 6.530399993065401
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3166933132704945
the lambda is 2.0
the regulation term lambda/alpha is 6.315258062590534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2880418374099636
the lambda is 2.0
the regulation term lambda/alpha is 6.9434357799677695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30319926770681416
the lambda is 2.0
the regulation term lambda/alpha is 6.596322000137376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38089364302140677
the lambda is 2.0
the regulation term lambda/alpha is 5.250809606942159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29850357070233613
the lambda is 2.0
the regulation term lambda/alpha is 6.700087356725035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33983690712003045
the lambda is 2.0
the regulation term lambda/alpha is 5.885175971465629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33716393892172597
the lambda is 2.0
the regulation term lambda/alpha is 5.931832468193784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33635572116086965
the lambda is 2.0
the regulation term lambda/alpha is 5.946085867359026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31403637710740556
the lambda is 2.0
the regulation term lambda/alpha is 6.36868893477257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2796722250787606
the lambda is 2.0
the regulation term lambda/alpha is 7.151228547764315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29216301591335736
the lambda is 2.0
the regulation term lambda/alpha is 6.8454934097240825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2785669360184728
the lambda is 2.0
the regulation term lambda/alpha is 7.179602965756756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2931259809100918
the lambda is 2.0
the regulation term lambda/alpha is 6.823004886125888
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31285887883807945
the lambda is 2.0
the regulation term lambda/alpha is 6.392658592358834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2870156415634717
the lambda is 2.0
the regulation term lambda/alpha is 6.968261343198303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2572165787601891
the lambda is 2.0
the regulation term lambda/alpha is 7.7755485654937555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38486392232478644
the lambda is 2.0
the regulation term lambda/alpha is 5.196641940140601
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3105652348220218
the lambda is 2.0
the regulation term lambda/alpha is 6.439870841133125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29236046264561183
the lambda is 2.0
the regulation term lambda/alpha is 6.840870280138814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3474245937063014
the lambda is 2.0
the regulation term lambda/alpha is 5.75664485540341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33133595080223477
the lambda is 2.0
the regulation term lambda/alpha is 6.0361696192567535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3133624987347673
the lambda is 2.0
the regulation term lambda/alpha is 6.382384644222592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3131309173609219
the lambda is 2.0
the regulation term lambda/alpha is 6.3871048469313365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2871927896693824
the lambda is 2.0
the regulation term lambda/alpha is 6.963963135364258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30824718695324826
the lambda is 2.0
the regulation term lambda/alpha is 6.488299276201794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3254689345195254
the lambda is 2.0
the regulation term lambda/alpha is 6.144979713509391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3074966218916874
the lambda is 2.0
the regulation term lambda/alpha is 6.504136493260338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25654965754100395
the lambda is 2.0
the regulation term lambda/alpha is 7.795761721803674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.254283322774874
the lambda is 2.0
the regulation term lambda/alpha is 7.865242510499482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3351737792291179
the lambda is 2.0
the regulation term lambda/alpha is 5.967053880526977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3092599453868699
the lambda is 2.0
the regulation term lambda/alpha is 6.467051520358035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2671124319989671
the lambda is 2.0
the regulation term lambda/alpha is 7.4874837724053735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3430793873914823
the lambda is 2.0
the regulation term lambda/alpha is 5.829554538984391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3447501548441603
the lambda is 2.0
the regulation term lambda/alpha is 5.801302688041064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32018800175941187
the lambda is 2.0
the regulation term lambda/alpha is 6.246330246636765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3125158957197868
the lambda is 2.0
the regulation term lambda/alpha is 6.3996744722171615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31218768596045
the lambda is 2.0
the regulation term lambda/alpha is 6.406402590310283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35489844935485343
the lambda is 2.0
the regulation term lambda/alpha is 5.63541487328465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168489197790188
the lambda is 2.0
the regulation term lambda/alpha is 6.3121565994129565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2914893189180186
the lambda is 2.0
the regulation term lambda/alpha is 6.861314875700471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29639857537624437
the lambda is 2.0
the regulation term lambda/alpha is 6.7476707587451354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3271909994154603
the lambda is 2.0
the regulation term lambda/alpha is 6.112637583469836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31497217367454716
the lambda is 2.0
the regulation term lambda/alpha is 6.349767272033846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29143936127178394
the lambda is 2.0
the regulation term lambda/alpha is 6.862491021365111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33059193155995
the lambda is 2.0
the regulation term lambda/alpha is 6.049754422507185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242688563592555
the lambda is 2.0
the regulation term lambda/alpha is 6.1677215087970465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3244677587082939
the lambda is 2.0
the regulation term lambda/alpha is 6.163940626834542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2925602485851151
the lambda is 2.0
the regulation term lambda/alpha is 6.836198730594585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3449388534117773
the lambda is 2.0
the regulation term lambda/alpha is 5.798129089309814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3840980593527847
the lambda is 2.0
the regulation term lambda/alpha is 5.207003657790025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2922985581438948
the lambda is 2.0
the regulation term lambda/alpha is 6.842319075058269
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3159858623038199
the lambda is 2.0
the regulation term lambda/alpha is 6.32939709839614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29030849270470516
the lambda is 2.0
the regulation term lambda/alpha is 6.88922318932761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34123177908063124
the lambda is 2.0
the regulation term lambda/alpha is 5.861118813108584
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29219186190745516
the lambda is 2.0
the regulation term lambda/alpha is 6.844817603556161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3265443210893035
the lambda is 2.0
the regulation term lambda/alpha is 6.124742862862524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322124848702437
the lambda is 2.0
the regulation term lambda/alpha is 6.208772803638943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3242720620289254
the lambda is 2.0
the regulation term lambda/alpha is 6.167660536298677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29354825681661184
the lambda is 2.0
the regulation term lambda/alpha is 6.8131898369591015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3625712381803265
the lambda is 2.0
the regulation term lambda/alpha is 5.5161573489326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31367830212996783
the lambda is 2.0
the regulation term lambda/alpha is 6.375959020497792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.310536600285102
the lambda is 2.0
the regulation term lambda/alpha is 6.440464660731813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33024787251294907
the lambda is 2.0
the regulation term lambda/alpha is 6.056057181478375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3555894416774104
the lambda is 2.0
the regulation term lambda/alpha is 5.624463962049789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33863460734809164
the lambda is 2.0
the regulation term lambda/alpha is 5.906070899434523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29419300669003556
the lambda is 2.0
the regulation term lambda/alpha is 6.798258131632674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37963940816738984
the lambda is 2.0
the regulation term lambda/alpha is 5.268156985215202
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031160907369576
the lambda is 2.0
the regulation term lambda/alpha is 6.598132072558261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31331870860570504
the lambda is 2.0
the regulation term lambda/alpha is 6.383276660688953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30451833195327144
the lambda is 2.0
the regulation term lambda/alpha is 6.567749097965312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28415257197442967
the lambda is 2.0
the regulation term lambda/alpha is 7.038472276013662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36260192957053083
the lambda is 2.0
the regulation term lambda/alpha is 5.515690449769032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056254784050911
the lambda is 2.0
the regulation term lambda/alpha is 6.5439570366875675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4130228341192556
the lambda is 2.0
the regulation term lambda/alpha is 4.84234728635493
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39014149671326637
the lambda is 2.0
the regulation term lambda/alpha is 5.126345228202925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31633921083379407
the lambda is 2.0
the regulation term lambda/alpha is 6.322327209227339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34259946641108163
the lambda is 2.0
the regulation term lambda/alpha is 5.837720709115817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3331757680269838
the lambda is 2.0
the regulation term lambda/alpha is 6.002837516796902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3154435728018062
the lambda is 2.0
the regulation term lambda/alpha is 6.340278174748559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29482911447178634
the lambda is 2.0
the regulation term lambda/alpha is 6.783590567651995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37609133001408657
the lambda is 2.0
the regulation term lambda/alpha is 5.317857234106114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3609052331754594
the lambda is 2.0
the regulation term lambda/alpha is 5.541620946869647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32151858887888124
the lambda is 2.0
the regulation term lambda/alpha is 6.220480150071251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.41408350071290667
the lambda is 2.0
the regulation term lambda/alpha is 4.829943710765343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322025758477711
the lambda is 2.0
the regulation term lambda/alpha is 6.21068329892135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24177322882399224
the lambda is 2.0
the regulation term lambda/alpha is 8.272214461990636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114684110121447
the lambda is 2.0
the regulation term lambda/alpha is 6.421196915285308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2706382975110591
the lambda is 2.0
the regulation term lambda/alpha is 7.389937116783237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33391240391696375
the lambda is 2.0
the regulation term lambda/alpha is 5.989594805520772
570
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3001238882219007
the lambda is 2.0
the regulation term lambda/alpha is 6.663914731510051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28718108406347215
the lambda is 2.0
the regulation term lambda/alpha is 6.964246989045993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29621023222250975
the lambda is 2.0
the regulation term lambda/alpha is 6.751961216848251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3519088705821216
the lambda is 2.0
the regulation term lambda/alpha is 5.683289530870973
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.25638504905274717
the lambda is 2.0
the regulation term lambda/alpha is 7.800766883206718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28859616732127447
the lambda is 2.0
the regulation term lambda/alpha is 6.930098963419484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29776552992633304
the lambda is 2.0
the regulation term lambda/alpha is 6.716694173750731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25081603294181354
the lambda is 2.0
the regulation term lambda/alpha is 7.973971904993718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29246757045630223
the lambda is 2.0
the regulation term lambda/alpha is 6.838365008741444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3288743924527519
the lambda is 2.0
the regulation term lambda/alpha is 6.081349128717378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3129070343568923
the lambda is 2.0
the regulation term lambda/alpha is 6.391674780052597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3477345803715227
the lambda is 2.0
the regulation term lambda/alpha is 5.75151311630607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2931956227240087
the lambda is 2.0
the regulation term lambda/alpha is 6.821384239704844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31871294251371657
the lambda is 2.0
the regulation term lambda/alpha is 6.275239355596377
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167353795704958
the lambda is 2.0
the regulation term lambda/alpha is 6.314419319723832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2693296732623897
the lambda is 2.0
the regulation term lambda/alpha is 7.425843486809324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30899311034667987
the lambda is 2.0
the regulation term lambda/alpha is 6.472636227248133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30222225220279
the lambda is 2.0
the regulation term lambda/alpha is 6.6176464023503065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3535606103023134
the lambda is 2.0
the regulation term lambda/alpha is 5.65673873650657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3176596032773787
the lambda is 2.0
the regulation term lambda/alpha is 6.2960476540468715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3319558939679549
the lambda is 2.0
the regulation term lambda/alpha is 6.0248967900328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39084286582609323
the lambda is 2.0
the regulation term lambda/alpha is 5.117145980834933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2966283540294897
the lambda is 2.0
the regulation term lambda/alpha is 6.742443777984781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3951295344416577
the lambda is 2.0
the regulation term lambda/alpha is 5.0616312517010975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2823502805777485
the lambda is 2.0
the regulation term lambda/alpha is 7.0834000798850845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28683326167889034
the lambda is 2.0
the regulation term lambda/alpha is 6.972692038202315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.39309475976152325
the lambda is 2.0
the regulation term lambda/alpha is 5.08783175133988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2839084688250461
the lambda is 2.0
the regulation term lambda/alpha is 7.044523920955901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3079872125360004
the lambda is 2.0
the regulation term lambda/alpha is 6.493776100415927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2937716217452166
the lambda is 2.0
the regulation term lambda/alpha is 6.808009528349093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34733304585965824
the lambda is 2.0
the regulation term lambda/alpha is 5.758162155431967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34907794592360664
the lambda is 2.0
the regulation term lambda/alpha is 5.729379421860373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3003224991111288
the lambda is 2.0
the regulation term lambda/alpha is 6.6595077156038744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26036141650694966
the lambda is 2.0
the regulation term lambda/alpha is 7.6816297392767305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3760597640448742
the lambda is 2.0
the regulation term lambda/alpha is 5.318303608150287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184641460932122
the lambda is 2.0
the regulation term lambda/alpha is 6.28014181356106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.347747600979256
the lambda is 2.0
the regulation term lambda/alpha is 5.751297764148501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3428125515563933
the lambda is 2.0
the regulation term lambda/alpha is 5.834092103453792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3440373400625883
the lambda is 2.0
the regulation term lambda/alpha is 5.813322471439158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37430645413764324
the lambda is 2.0
the regulation term lambda/alpha is 5.343215373103192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2822077970335222
the lambda is 2.0
the regulation term lambda/alpha is 7.086976408955946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29534994252020563
the lambda is 2.0
the regulation term lambda/alpha is 6.771628201224976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2949797356410264
the lambda is 2.0
the regulation term lambda/alpha is 6.780126762449494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35953259605826493
the lambda is 2.0
the regulation term lambda/alpha is 5.56277795651075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3410309264721473
the lambda is 2.0
the regulation term lambda/alpha is 5.864570761043117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35661708613350834
the lambda is 2.0
the regulation term lambda/alpha is 5.6082562439289605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34053847879853116
the lambda is 2.0
the regulation term lambda/alpha is 5.873051430359025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32096497179257544
the lambda is 2.0
the regulation term lambda/alpha is 6.231209557946734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34385280623726966
the lambda is 2.0
the regulation term lambda/alpha is 5.816442279141775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37632271605195033
the lambda is 2.0
the regulation term lambda/alpha is 5.314587492836615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996958689876364
the lambda is 2.0
the regulation term lambda/alpha is 6.673431992092316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213278644508541
the lambda is 2.0
the regulation term lambda/alpha is 6.224172321370196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2953429156699324
the lambda is 2.0
the regulation term lambda/alpha is 6.7717893129867655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089392456511045
the lambda is 2.0
the regulation term lambda/alpha is 6.47376475521879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37460139127967745
the lambda is 2.0
the regulation term lambda/alpha is 5.339008467554782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29666636769494314
the lambda is 2.0
the regulation term lambda/alpha is 6.7415798276687875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36522051803444494
the lambda is 2.0
the regulation term lambda/alpha is 5.476143593365624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34122946556894723
the lambda is 2.0
the regulation term lambda/alpha is 5.861158551080312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2779260160488156
the lambda is 2.0
the regulation term lambda/alpha is 7.196159713413497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32162864044747097
the lambda is 2.0
the regulation term lambda/alpha is 6.2183516903764176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3193140457526921
the lambda is 2.0
the regulation term lambda/alpha is 6.263426324656557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.354206535449554
the lambda is 2.0
the regulation term lambda/alpha is 5.64642320182384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3472429541642895
the lambda is 2.0
the regulation term lambda/alpha is 5.759656102492864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3084390174657825
the lambda is 2.0
the regulation term lambda/alpha is 6.484263944401507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35059032163457937
the lambda is 2.0
the regulation term lambda/alpha is 5.704664038286265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3584071246894336
the lambda is 2.0
the regulation term lambda/alpha is 5.580246212273367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28212368892903794
the lambda is 2.0
the regulation term lambda/alpha is 7.0890892132884895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30712801453225735
the lambda is 2.0
the regulation term lambda/alpha is 6.511942595161543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36668717198876377
the lambda is 2.0
the regulation term lambda/alpha is 5.454240433753939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3154195178135903
the lambda is 2.0
the regulation term lambda/alpha is 6.340761706388695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35735034587241293
the lambda is 2.0
the regulation term lambda/alpha is 5.596748465759349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31578926084924597
the lambda is 2.0
the regulation term lambda/alpha is 6.333337601859666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3390865478597065
the lambda is 2.0
the regulation term lambda/alpha is 5.898199184319984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2848523568953816
the lambda is 2.0
the regulation term lambda/alpha is 7.021181154328819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30438650095071973
the lambda is 2.0
the regulation term lambda/alpha is 6.570593616186024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948391718260743
the lambda is 2.0
the regulation term lambda/alpha is 6.783359170401552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2953942697122366
the lambda is 2.0
the regulation term lambda/alpha is 6.770612043179898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28245758647138547
the lambda is 2.0
the regulation term lambda/alpha is 7.080709089761379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35301480619750336
the lambda is 2.0
the regulation term lambda/alpha is 5.6654847470648235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3046468415839824
the lambda is 2.0
the regulation term lambda/alpha is 6.564978614585955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33903209640685766
the lambda is 2.0
the regulation term lambda/alpha is 5.899146485528871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31157160516705407
the lambda is 2.0
the regulation term lambda/alpha is 6.419070181082991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4385345471411399
the lambda is 2.0
the regulation term lambda/alpha is 4.560644111252451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3145471280987867
the lambda is 2.0
the regulation term lambda/alpha is 6.358347673013501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3306725574940199
the lambda is 2.0
the regulation term lambda/alpha is 6.048279346665074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804288174191549
the lambda is 2.0
the regulation term lambda/alpha is 7.1319346506768415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3468331255960781
the lambda is 2.0
the regulation term lambda/alpha is 5.766461887291586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3255050796002395
the lambda is 2.0
the regulation term lambda/alpha is 6.144297356146477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3279171580633521
the lambda is 2.0
the regulation term lambda/alpha is 6.099101406622977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.281839410224061
the lambda is 2.0
the regulation term lambda/alpha is 7.096239657931477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29264879586841047
the lambda is 2.0
the regulation term lambda/alpha is 6.834130289397466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3743868889320541
the lambda is 2.0
the regulation term lambda/alpha is 5.342067415087743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33661082302598255
the lambda is 2.0
the regulation term lambda/alpha is 5.941579602286355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27970194252271496
the lambda is 2.0
the regulation term lambda/alpha is 7.150468752420543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28950199596782167
the lambda is 2.0
the regulation term lambda/alpha is 6.908415236702897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30524030713677475
the lambda is 2.0
the regulation term lambda/alpha is 6.552214610057454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3487151378465502
the lambda is 2.0
the regulation term lambda/alpha is 5.7353403478574725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31525582981371797
the lambda is 2.0
the regulation term lambda/alpha is 6.3440539741383475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3547368362071349
the lambda is 2.0
the regulation term lambda/alpha is 5.637982289587137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3121397684212311
the lambda is 2.0
the regulation term lambda/alpha is 6.407386056944239
580
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30523854606262585
the lambda is 2.0
the regulation term lambda/alpha is 6.552252413067318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35580536283354464
the lambda is 2.0
the regulation term lambda/alpha is 5.621050745476408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3086834209152722
the lambda is 2.0
the regulation term lambda/alpha is 6.479129958032189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35465619096257706
the lambda is 2.0
the regulation term lambda/alpha is 5.6392643099554345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.289811842877623
the lambda is 2.0
the regulation term lambda/alpha is 6.901029233800246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.267317931209197
the lambda is 2.0
the regulation term lambda/alpha is 7.481727809852176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2997990940126576
the lambda is 2.0
the regulation term lambda/alpha is 6.671134236034614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3011985110726986
the lambda is 2.0
the regulation term lambda/alpha is 6.640139066017066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3363282880683374
the lambda is 2.0
the regulation term lambda/alpha is 5.946570868263174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26847846909869133
the lambda is 2.0
the regulation term lambda/alpha is 7.4493869348786035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30410665350846533
the lambda is 2.0
the regulation term lambda/alpha is 6.576640060077891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34448079666280856
the lambda is 2.0
the regulation term lambda/alpha is 5.805838872225087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31507755188311315
the lambda is 2.0
the regulation term lambda/alpha is 6.34764358186316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34111128137250424
the lambda is 2.0
the regulation term lambda/alpha is 5.863189255872007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3597719388786252
the lambda is 2.0
the regulation term lambda/alpha is 5.559077248308496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30130886203108576
the lambda is 2.0
the regulation term lambda/alpha is 6.637707190283908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2880536778997197
the lambda is 2.0
the regulation term lambda/alpha is 6.943150368995674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2975466760406221
the lambda is 2.0
the regulation term lambda/alpha is 6.7216344898000235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3179682245505086
the lambda is 2.0
the regulation term lambda/alpha is 6.289936684167961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33490481607644756
the lambda is 2.0
the regulation term lambda/alpha is 5.971846041006072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31370936547402467
the lambda is 2.0
the regulation term lambda/alpha is 6.375327676232864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3357471294085069
the lambda is 2.0
the regulation term lambda/alpha is 5.956864034916528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32116862989399453
the lambda is 2.0
the regulation term lambda/alpha is 6.227258249537395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.41892987308421686
the lambda is 2.0
the regulation term lambda/alpha is 4.774068712922611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3216876240730007
the lambda is 2.0
the regulation term lambda/alpha is 6.217211513073749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34075635211837935
the lambda is 2.0
the regulation term lambda/alpha is 5.869296309713976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35954213483357594
the lambda is 2.0
the regulation term lambda/alpha is 5.562630374116668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2782387028165217
the lambda is 2.0
the regulation term lambda/alpha is 7.188072614466059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33400672493009115
the lambda is 2.0
the regulation term lambda/alpha is 5.987903388527903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30101637623202626
the lambda is 2.0
the regulation term lambda/alpha is 6.644156789856447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3264516345919734
the lambda is 2.0
the regulation term lambda/alpha is 6.126481806408375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3434378707212622
the lambda is 2.0
the regulation term lambda/alpha is 5.8234696010656934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.297945949436496
the lambda is 2.0
the regulation term lambda/alpha is 6.7126269170048865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32443300166815203
the lambda is 2.0
the regulation term lambda/alpha is 6.164600979914215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33363359757535366
the lambda is 2.0
the regulation term lambda/alpha is 5.994600107827225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2798004287768334
the lambda is 2.0
the regulation term lambda/alpha is 7.1479518767828045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38002036181900933
the lambda is 2.0
the regulation term lambda/alpha is 5.26287589019383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.318014186985258
the lambda is 2.0
the regulation term lambda/alpha is 6.28902760269847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025049346206588
the lambda is 2.0
the regulation term lambda/alpha is 6.611462396499416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3466702656287747
the lambda is 2.0
the regulation term lambda/alpha is 5.769170875882566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3126299353354738
the lambda is 2.0
the regulation term lambda/alpha is 6.397340030326463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213244968263542
the lambda is 2.0
the regulation term lambda/alpha is 6.2242375534810614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2844571662999198
the lambda is 2.0
the regulation term lambda/alpha is 7.030935539487458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34969656165990215
the lambda is 2.0
the regulation term lambda/alpha is 5.719244108396761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30468526182820155
the lambda is 2.0
the regulation term lambda/alpha is 6.564150783006075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32928068978839264
the lambda is 2.0
the regulation term lambda/alpha is 6.073845390949802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033660879058844
the lambda is 2.0
the regulation term lambda/alpha is 6.592694700339992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32021559838737923
the lambda is 2.0
the regulation term lambda/alpha is 6.24579192916302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3151681537189472
the lambda is 2.0
the regulation term lambda/alpha is 6.3458188157662345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3562605390411646
the lambda is 2.0
the regulation term lambda/alpha is 5.613869011097261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34822741797238294
the lambda is 2.0
the regulation term lambda/alpha is 5.743373142888522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28737672752113674
the lambda is 2.0
the regulation term lambda/alpha is 6.959505793150556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3015071416998967
the lambda is 2.0
the regulation term lambda/alpha is 6.633342045312771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30953246610141977
the lambda is 2.0
the regulation term lambda/alpha is 6.461357754131971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30095459394154156
the lambda is 2.0
the regulation term lambda/alpha is 6.64552075383334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30001049458164636
the lambda is 2.0
the regulation term lambda/alpha is 6.666433461899147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3321228084013721
the lambda is 2.0
the regulation term lambda/alpha is 6.021868867202248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2926595654590963
the lambda is 2.0
the regulation term lambda/alpha is 6.833878799972218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3094024833222217
the lambda is 2.0
the regulation term lambda/alpha is 6.464072228913352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3367665986083595
the lambda is 2.0
the regulation term lambda/alpha is 5.938831250678417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31752891355601126
the lambda is 2.0
the regulation term lambda/alpha is 6.298639004561722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008740946322323
the lambda is 2.0
the regulation term lambda/alpha is 6.647298772746327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27849756575936546
the lambda is 2.0
the regulation term lambda/alpha is 7.18139131502532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2815570414660645
the lambda is 2.0
the regulation term lambda/alpha is 7.103356355735312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3649629768742254
the lambda is 2.0
the regulation term lambda/alpha is 5.480007909649547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.36387747410025095
the lambda is 2.0
the regulation term lambda/alpha is 5.4963556206531905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2998175394374914
the lambda is 2.0
the regulation term lambda/alpha is 6.670723813397774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3102501072794771
the lambda is 2.0
the regulation term lambda/alpha is 6.446411953045275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3446796242219697
the lambda is 2.0
the regulation term lambda/alpha is 5.802489788929395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2766893928766746
the lambda is 2.0
the regulation term lambda/alpha is 7.2283219071265075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3138794820693469
the lambda is 2.0
the regulation term lambda/alpha is 6.371872372206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30451164383198415
the lambda is 2.0
the regulation term lambda/alpha is 6.567893348286906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34647461302212407
the lambda is 2.0
the regulation term lambda/alpha is 5.77242869991254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3082359960909303
the lambda is 2.0
the regulation term lambda/alpha is 6.4885348413687405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27636793429079054
the lambda is 2.0
the regulation term lambda/alpha is 7.236729561742961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2833341850802753
the lambda is 2.0
the regulation term lambda/alpha is 7.058802309482537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3422566700966796
the lambda is 2.0
the regulation term lambda/alpha is 5.843567634299271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31662337477575453
the lambda is 2.0
the regulation term lambda/alpha is 6.316653031117746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.320753843924119
the lambda is 2.0
the regulation term lambda/alpha is 6.235311089438235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3211026970019594
the lambda is 2.0
the regulation term lambda/alpha is 6.228536909447994
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2910925618109923
the lambda is 2.0
the regulation term lambda/alpha is 6.870666799444394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3848654229417121
the lambda is 2.0
the regulation term lambda/alpha is 5.1966216780739485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35669898363452435
the lambda is 2.0
the regulation term lambda/alpha is 5.606968597502959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2876104611099124
the lambda is 2.0
the regulation term lambda/alpha is 6.9538499826530495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968852630700932
the lambda is 2.0
the regulation term lambda/alpha is 6.736609218382825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34105312226750056
the lambda is 2.0
the regulation term lambda/alpha is 5.864189093777966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28611188048375047
the lambda is 2.0
the regulation term lambda/alpha is 6.990272464808006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132786393881244
the lambda is 2.0
the regulation term lambda/alpha is 6.384093099696394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30854299000563257
the lambda is 2.0
the regulation term lambda/alpha is 6.482078882957247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35475870576881136
the lambda is 2.0
the regulation term lambda/alpha is 5.637634728838359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3038667066352904
the lambda is 2.0
the regulation term lambda/alpha is 6.581833272048647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3830061890955509
the lambda is 2.0
the regulation term lambda/alpha is 5.2218477323379435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3533052277086595
the lambda is 2.0
the regulation term lambda/alpha is 5.660827644614498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31714443639181183
the lambda is 2.0
the regulation term lambda/alpha is 6.306274903492637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33327981671800155
the lambda is 2.0
the regulation term lambda/alpha is 6.000963453758325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087786716228431
the lambda is 2.0
the regulation term lambda/alpha is 6.4771313040782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30063253157418907
the lambda is 2.0
the regulation term lambda/alpha is 6.65263998386165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32350527639251775
the lambda is 2.0
the regulation term lambda/alpha is 6.182279381351869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.351286233151403
the lambda is 2.0
the regulation term lambda/alpha is 5.693362879774477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3485970028749949
the lambda is 2.0
the regulation term lambda/alpha is 5.737283979797123
590
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.349427939676999
the lambda is 2.0
the regulation term lambda/alpha is 5.723640765099499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3738231161808542
the lambda is 2.0
the regulation term lambda/alpha is 5.350123931427525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2964209495398943
the lambda is 2.0
the regulation term lambda/alpha is 6.747161437490864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35309872041749796
the lambda is 2.0
the regulation term lambda/alpha is 5.664138339655363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28329045692934945
the lambda is 2.0
the regulation term lambda/alpha is 7.05989189215359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2993380828166947
the lambda is 2.0
the regulation term lambda/alpha is 6.681408463569059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3195172746922416
the lambda is 2.0
the regulation term lambda/alpha is 6.259442472793985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3330297752083609
the lambda is 2.0
the regulation term lambda/alpha is 6.0054690267520225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29458366369170946
the lambda is 2.0
the regulation term lambda/alpha is 6.789242739858987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3385772809603152
the lambda is 2.0
the regulation term lambda/alpha is 5.907070888889384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32270341920110085
the lambda is 2.0
the regulation term lambda/alpha is 6.1976411807203355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31789676141846923
the lambda is 2.0
the regulation term lambda/alpha is 6.291350660748831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3164415996327388
the lambda is 2.0
the regulation term lambda/alpha is 6.3202815379557995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2751049951196456
the lambda is 2.0
the regulation term lambda/alpha is 7.26995160204264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31504090610624613
the lambda is 2.0
the regulation term lambda/alpha is 6.3483819441704785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33005135319486406
the lambda is 2.0
the regulation term lambda/alpha is 6.0596630816392665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2594182661176626
the lambda is 2.0
the regulation term lambda/alpha is 7.709557348952727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3539145388388492
the lambda is 2.0
the regulation term lambda/alpha is 5.651081774040021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31440926993624724
the lambda is 2.0
the regulation term lambda/alpha is 6.361135600122541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30946275644421556
the lambda is 2.0
the regulation term lambda/alpha is 6.462813241180847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29006099420282977
the lambda is 2.0
the regulation term lambda/alpha is 6.895101513033731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.32075076316984397
the lambda is 2.0
the regulation term lambda/alpha is 6.23537097849697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078031913467825
the lambda is 2.0
the regulation term lambda/alpha is 6.4976584266364075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34784251003634997
the lambda is 2.0
the regulation term lambda/alpha is 5.749728518779943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2920343479635782
the lambda is 2.0
the regulation term lambda/alpha is 6.848509478239303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305338744563121
the lambda is 2.0
the regulation term lambda/alpha is 6.550102257286746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31271478349708354
the lambda is 2.0
the regulation term lambda/alpha is 6.395604255206734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3187107060786121
the lambda is 2.0
the regulation term lambda/alpha is 6.2752833897794655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3170158437533001
the lambda is 2.0
the regulation term lambda/alpha is 6.308832947656674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.353463523931829
the lambda is 2.0
the regulation term lambda/alpha is 5.658292481647219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2894113024192396
the lambda is 2.0
the regulation term lambda/alpha is 6.9105801441811385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31253115170997264
the lambda is 2.0
the regulation term lambda/alpha is 6.3993620765714585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31671764679457387
the lambda is 2.0
the regulation term lambda/alpha is 6.314772859174529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3080350995650847
the lambda is 2.0
the regulation term lambda/alpha is 6.49276658024947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2722695962292123
the lambda is 2.0
the regulation term lambda/alpha is 7.345660432523227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30321692440000736
the lambda is 2.0
the regulation term lambda/alpha is 6.595937888221491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3435618619248809
the lambda is 2.0
the regulation term lambda/alpha is 5.821367915503077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2878616349696924
the lambda is 2.0
the regulation term lambda/alpha is 6.947782396256349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26312675276961983
the lambda is 2.0
the regulation term lambda/alpha is 7.600899486458135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243077661739549
the lambda is 2.0
the regulation term lambda/alpha is 6.166981517572488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31455716875960077
the lambda is 2.0
the regulation term lambda/alpha is 6.35814471463689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3405271598003368
the lambda is 2.0
the regulation term lambda/alpha is 5.873246648439646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30540129492526585
the lambda is 2.0
the regulation term lambda/alpha is 6.548760706759334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199139194409963
the lambda is 2.0
the regulation term lambda/alpha is 6.251681713301857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.273241699761126
the lambda is 2.0
the regulation term lambda/alpha is 7.31952700392526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208174344893032
the lambda is 2.0
the regulation term lambda/alpha is 6.234075162354322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3081550448506683
the lambda is 2.0
the regulation term lambda/alpha is 6.490239356520022
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.333166811506214
the lambda is 2.0
the regulation term lambda/alpha is 6.002998891030589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32288168422485464
the lambda is 2.0
the regulation term lambda/alpha is 6.194219423753999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2828677297323186
the lambda is 2.0
the regulation term lambda/alpha is 7.070442435737105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3205364041185046
the lambda is 2.0
the regulation term lambda/alpha is 6.239540889279414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2991593169874994
the lambda is 2.0
the regulation term lambda/alpha is 6.6854010102034405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30528536469885237
the lambda is 2.0
the regulation term lambda/alpha is 6.55124755807699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3158667675828052
the lambda is 2.0
the regulation term lambda/alpha is 6.331783540589453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26640972930313334
the lambda is 2.0
the regulation term lambda/alpha is 7.507233332774823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32179290486037404
the lambda is 2.0
the regulation term lambda/alpha is 6.215177431795148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3255774500109149
the lambda is 2.0
the regulation term lambda/alpha is 6.1429315818185515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3266070885689717
the lambda is 2.0
the regulation term lambda/alpha is 6.123565807352792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3228419034524839
the lambda is 2.0
the regulation term lambda/alpha is 6.194982679174921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30047117504333515
the lambda is 2.0
the regulation term lambda/alpha is 6.656212529243619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3604753109853868
the lambda is 2.0
the regulation term lambda/alpha is 5.548230181237231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3365838034521171
the lambda is 2.0
the regulation term lambda/alpha is 5.942056568044348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31435796740140537
the lambda is 2.0
the regulation term lambda/alpha is 6.362173723582419
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2669506265493114
the lambda is 2.0
the regulation term lambda/alpha is 7.492022123538856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3196467248137715
the lambda is 2.0
the regulation term lambda/alpha is 6.256907531792214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32781249780412286
the lambda is 2.0
the regulation term lambda/alpha is 6.101048658599514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38844836637256597
the lambda is 2.0
the regulation term lambda/alpha is 5.148689435037483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31269527417133486
the lambda is 2.0
the regulation term lambda/alpha is 6.39600328242934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31382820280267065
the lambda is 2.0
the regulation term lambda/alpha is 6.372913530838918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35447039084565835
the lambda is 2.0
the regulation term lambda/alpha is 5.642220201322343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30405451479931017
the lambda is 2.0
the regulation term lambda/alpha is 6.577767810223411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3025545177988548
the lambda is 2.0
the regulation term lambda/alpha is 6.6103788981582685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3371498249830306
the lambda is 2.0
the regulation term lambda/alpha is 5.932080789603447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31186099235249437
the lambda is 2.0
the regulation term lambda/alpha is 6.413113691818865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2972826045468651
the lambda is 2.0
the regulation term lambda/alpha is 6.727605212718426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4024642669393964
the lambda is 2.0
the regulation term lambda/alpha is 4.969385270422436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3350107372556447
the lambda is 2.0
the regulation term lambda/alpha is 5.9699579075694285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2998491116839092
the lambda is 2.0
the regulation term lambda/alpha is 6.670021427671703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2697553731934545
the lambda is 2.0
the regulation term lambda/alpha is 7.414124791374236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36813579004783764
the lambda is 2.0
the regulation term lambda/alpha is 5.432777942454627
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2994754231024848
the lambda is 2.0
the regulation term lambda/alpha is 6.678344350533136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34526233569444026
the lambda is 2.0
the regulation term lambda/alpha is 5.7926967213997385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3036484823724687
the lambda is 2.0
the regulation term lambda/alpha is 6.586563464350568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29315460242276675
the lambda is 2.0
the regulation term lambda/alpha is 6.822338736868071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35110880346522855
the lambda is 2.0
the regulation term lambda/alpha is 5.696239969665319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3325609883363812
the lambda is 2.0
the regulation term lambda/alpha is 6.013934496661483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4134752763610716
the lambda is 2.0
the regulation term lambda/alpha is 4.837048583900042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2975820847099098
the lambda is 2.0
the regulation term lambda/alpha is 6.720834696583459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30210601511868795
the lambda is 2.0
the regulation term lambda/alpha is 6.620192581118462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2801519571189749
the lambda is 2.0
the regulation term lambda/alpha is 7.138982788368101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30491625545509826
the lambda is 2.0
the regulation term lambda/alpha is 6.55917801763284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27832563042574193
the lambda is 2.0
the regulation term lambda/alpha is 7.185827611135531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33930380471808985
the lambda is 2.0
the regulation term lambda/alpha is 5.8944225563921915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29623091150369346
the lambda is 2.0
the regulation term lambda/alpha is 6.751489876082914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33314841116278526
the lambda is 2.0
the regulation term lambda/alpha is 6.003330446690158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3402627853221929
the lambda is 2.0
the regulation term lambda/alpha is 5.877809993550166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3283234121659656
the lambda is 2.0
the regulation term lambda/alpha is 6.091554625379598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27036524155589486
the lambda is 2.0
the regulation term lambda/alpha is 7.397400599612666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305842856477589
the lambda is 2.0
the regulation term lambda/alpha is 6.539305913612379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2927767201512003
the lambda is 2.0
the regulation term lambda/alpha is 6.8311442213271905
600
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3618135929695718
the lambda is 2.0
the regulation term lambda/alpha is 5.527708297482893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2934744511551446
the lambda is 2.0
the regulation term lambda/alpha is 6.814903280772147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30237000818392845
the lambda is 2.0
the regulation term lambda/alpha is 6.614412626477892
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3076697969582883
the lambda is 2.0
the regulation term lambda/alpha is 6.500475574049103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2794429115327164
the lambda is 2.0
the regulation term lambda/alpha is 7.15709691482314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27410200707204785
the lambda is 2.0
the regulation term lambda/alpha is 7.29655364936565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.23874125808957758
the lambda is 2.0
the regulation term lambda/alpha is 8.377270087307592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30452178900926585
the lambda is 2.0
the regulation term lambda/alpha is 6.5676745381892685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34512681985368215
the lambda is 2.0
the regulation term lambda/alpha is 5.794971253894171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34248643179855975
the lambda is 2.0
the regulation term lambda/alpha is 5.839647397115983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3575870087145442
the lambda is 2.0
the regulation term lambda/alpha is 5.593044353567573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028905115836728
the lambda is 2.0
the regulation term lambda/alpha is 6.6030460628922825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3332259187154915
the lambda is 2.0
the regulation term lambda/alpha is 6.001934086368597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2737298141281194
the lambda is 2.0
the regulation term lambda/alpha is 7.306474840420192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3381804334966967
the lambda is 2.0
the regulation term lambda/alpha is 5.914002709501926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32301143757813044
the lambda is 2.0
the regulation term lambda/alpha is 6.191731212354477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37309534298375024
the lambda is 2.0
the regulation term lambda/alpha is 5.360560075624176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.28902043525900345
the lambda is 2.0
the regulation term lambda/alpha is 6.919925915299779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32685609297321355
the lambda is 2.0
the regulation term lambda/alpha is 6.118900773142093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32660929794895954
the lambda is 2.0
the regulation term lambda/alpha is 6.123524383903325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3071404924181371
the lambda is 2.0
the regulation term lambda/alpha is 6.511678041061502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27782787487948585
the lambda is 2.0
the regulation term lambda/alpha is 7.198701717268454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2868646754835071
the lambda is 2.0
the regulation term lambda/alpha is 6.971928476829792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34479844618168737
the lambda is 2.0
the regulation term lambda/alpha is 5.800490176646922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28779240414741614
the lambda is 2.0
the regulation term lambda/alpha is 6.949453742272984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016142360188307
the lambda is 2.0
the regulation term lambda/alpha is 6.630986741206519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32322253936608064
the lambda is 2.0
the regulation term lambda/alpha is 6.187687294093087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2934134285100123
the lambda is 2.0
the regulation term lambda/alpha is 6.816320609987873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2600724668767688
the lambda is 2.0
the regulation term lambda/alpha is 7.690164299274587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2847875341472405
the lambda is 2.0
the regulation term lambda/alpha is 7.022779301027841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30648615122825223
the lambda is 2.0
the regulation term lambda/alpha is 6.5255803304160445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981157386826359
the lambda is 2.0
the regulation term lambda/alpha is 6.708803798276257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3156827216537906
the lambda is 2.0
the regulation term lambda/alpha is 6.335475028606099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3905184405707574
the lambda is 2.0
the regulation term lambda/alpha is 5.121397076862554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27399664927125345
the lambda is 2.0
the regulation term lambda/alpha is 7.2993593363983935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2693999932124809
the lambda is 2.0
the regulation term lambda/alpha is 7.423905161061239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3118388733616392
the lambda is 2.0
the regulation term lambda/alpha is 6.413568579311157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008943946910099
the lambda is 2.0
the regulation term lambda/alpha is 6.646850307908895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34343557638772504
the lambda is 2.0
the regulation term lambda/alpha is 5.823508504960709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33550604518232646
the lambda is 2.0
the regulation term lambda/alpha is 5.961144452443847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3545820158229184
the lambda is 2.0
the regulation term lambda/alpha is 5.640443989688465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.26647771234136397
the lambda is 2.0
the regulation term lambda/alpha is 7.505318108697792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2932021508688616
the lambda is 2.0
the regulation term lambda/alpha is 6.821232361608853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30279311240533896
the lambda is 2.0
the regulation term lambda/alpha is 6.605170058566812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3479501486095306
the lambda is 2.0
the regulation term lambda/alpha is 5.747949837045187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.349149911230543
the lambda is 2.0
the regulation term lambda/alpha is 5.728198506341317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28834392640606427
the lambda is 2.0
the regulation term lambda/alpha is 6.9361613574737575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36520393510164967
the lambda is 2.0
the regulation term lambda/alpha is 5.476392250382863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3395782070036716
the lambda is 2.0
the regulation term lambda/alpha is 5.889659462093737
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25701761815325674
the lambda is 2.0
the regulation term lambda/alpha is 7.781567716526819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2942000302703478
the lambda is 2.0
the regulation term lambda/alpha is 6.798095833512151
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36414828783752556
the lambda is 2.0
the regulation term lambda/alpha is 5.49226803145743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30455474219298556
the lambda is 2.0
the regulation term lambda/alpha is 6.566963908027644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2995371283204865
the lambda is 2.0
the regulation term lambda/alpha is 6.676968598898102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35473027354877834
the lambda is 2.0
the regulation term lambda/alpha is 5.638086594616468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3318560061502142
the lambda is 2.0
the regulation term lambda/alpha is 6.026710268714265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.293498167523913
the lambda is 2.0
the regulation term lambda/alpha is 6.814352596722936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34199015957379053
the lambda is 2.0
the regulation term lambda/alpha is 5.848121485403337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3093972397231822
the lambda is 2.0
the regulation term lambda/alpha is 6.4641817806435515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3309742963319466
the lambda is 2.0
the regulation term lambda/alpha is 6.042765320948442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3339502087040867
the lambda is 2.0
the regulation term lambda/alpha is 5.988916754270395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30122430045645077
the lambda is 2.0
the regulation term lambda/alpha is 6.63957056907216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2821272993143217
the lambda is 2.0
the regulation term lambda/alpha is 7.088998494157682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31373269150659094
the lambda is 2.0
the regulation term lambda/alpha is 6.37485367047885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.397907339748
the lambda is 2.0
the regulation term lambda/alpha is 5.026295823712693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086827067590438
the lambda is 2.0
the regulation term lambda/alpha is 6.479144947893664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27764148440820285
the lambda is 2.0
the regulation term lambda/alpha is 7.203534458343036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28033813654445644
the lambda is 2.0
the regulation term lambda/alpha is 7.134241614974982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213409897026175
the lambda is 2.0
the regulation term lambda/alpha is 6.223918093520794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37995505910539723
the lambda is 2.0
the regulation term lambda/alpha is 5.263780418423675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31592562997742907
the lambda is 2.0
the regulation term lambda/alpha is 6.330603820091734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3151284028073486
the lambda is 2.0
the regulation term lambda/alpha is 6.346619289733414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2847702913969475
the lambda is 2.0
the regulation term lambda/alpha is 7.023204528074021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32892470508600413
the lambda is 2.0
the regulation term lambda/alpha is 6.080418919816494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.43032948131343557
the lambda is 2.0
the regulation term lambda/alpha is 4.647601632813245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133587628108079
the lambda is 2.0
the regulation term lambda/alpha is 6.3824607362504535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3379107563750031
the lambda is 2.0
the regulation term lambda/alpha is 5.918722509621625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30919151849084603
the lambda is 2.0
the regulation term lambda/alpha is 6.468482737695835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3528009194565094
the lambda is 2.0
the regulation term lambda/alpha is 5.668919466199251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3533038242283199
the lambda is 2.0
the regulation term lambda/alpha is 5.660850131946251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3260532762368916
the lambda is 2.0
the regulation term lambda/alpha is 6.133966887506183
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26729567099444707
the lambda is 2.0
the regulation term lambda/alpha is 7.482350883421337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3178104341254736
the lambda is 2.0
the regulation term lambda/alpha is 6.293059589133525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2821133377850358
the lambda is 2.0
the regulation term lambda/alpha is 7.089349322164826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28901261626026536
the lambda is 2.0
the regulation term lambda/alpha is 6.920113128206605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34042917916466053
the lambda is 2.0
the regulation term lambda/alpha is 5.874937057121739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29931728759144016
the lambda is 2.0
the regulation term lambda/alpha is 6.681872657919929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128521740939504
the lambda is 2.0
the regulation term lambda/alpha is 6.3927955936128305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3412323894823277
the lambda is 2.0
the regulation term lambda/alpha is 5.861108328649967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31009623319555446
the lambda is 2.0
the regulation term lambda/alpha is 6.449610752732846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29390191736072624
the lambda is 2.0
the regulation term lambda/alpha is 6.80499133166682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3024324261886525
the lambda is 2.0
the regulation term lambda/alpha is 6.613047500245334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34795803013658444
the lambda is 2.0
the regulation term lambda/alpha is 5.747819641394502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184793691208559
the lambda is 2.0
the regulation term lambda/alpha is 6.279841628425998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2855742676336425
the lambda is 2.0
the regulation term lambda/alpha is 7.003432124934169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303909571449435
the lambda is 2.0
the regulation term lambda/alpha is 6.580904939786549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3093605719251841
the lambda is 2.0
the regulation term lambda/alpha is 6.464947965261975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28918881689532644
the lambda is 2.0
the regulation term lambda/alpha is 6.915896753794292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086393954033198
the lambda is 2.0
the regulation term lambda/alpha is 6.480054166080989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31870797183845245
the lambda is 2.0
the regulation term lambda/alpha is 6.2753372263112555
610
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32926137953983226
the lambda is 2.0
the regulation term lambda/alpha is 6.074201604801485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28617253031176837
the lambda is 2.0
the regulation term lambda/alpha is 6.988790985008645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.307860600278731
the lambda is 2.0
the regulation term lambda/alpha is 6.496446762558245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30464695990245505
the lambda is 2.0
the regulation term lambda/alpha is 6.56497606488632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32570860133149165
the lambda is 2.0
the regulation term lambda/alpha is 6.140458040788703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34032534360739003
the lambda is 2.0
the regulation term lambda/alpha is 5.876729540034675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3727036674808595
the lambda is 2.0
the regulation term lambda/alpha is 5.366193505736597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132790215533684
the lambda is 2.0
the regulation term lambda/alpha is 6.38408531181936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31299738929572624
the lambda is 2.0
the regulation term lambda/alpha is 6.389829654810186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38854331559312544
the lambda is 2.0
the regulation term lambda/alpha is 5.147431237999624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2673102633638428
the lambda is 2.0
the regulation term lambda/alpha is 7.481942424626432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3220770950547116
the lambda is 2.0
the regulation term lambda/alpha is 6.209693364442006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27595121119020816
the lambda is 2.0
the regulation term lambda/alpha is 7.247657987706517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29172699680382036
the lambda is 2.0
the regulation term lambda/alpha is 6.855724776630645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34039059562964724
the lambda is 2.0
the regulation term lambda/alpha is 5.875602985741844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2680373314312909
the lambda is 2.0
the regulation term lambda/alpha is 7.461647186681842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3354903585783479
the lambda is 2.0
the regulation term lambda/alpha is 5.961423179119274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32412672642993906
the lambda is 2.0
the regulation term lambda/alpha is 6.170426061524753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32098977255853334
the lambda is 2.0
the regulation term lambda/alpha is 6.230728113417678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29405898330045616
the lambda is 2.0
the regulation term lambda/alpha is 6.801356576671866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32492587867944484
the lambda is 2.0
the regulation term lambda/alpha is 6.155249954630721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29913477749395023
the lambda is 2.0
the regulation term lambda/alpha is 6.685949446451269
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35599377509126245
the lambda is 2.0
the regulation term lambda/alpha is 5.618075764069977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324454953406163
the lambda is 2.0
the regulation term lambda/alpha is 6.164183899810389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2835429229250491
the lambda is 2.0
the regulation term lambda/alpha is 7.0536057799216305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34520807963215855
the lambda is 2.0
the regulation term lambda/alpha is 5.793607154650403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2826191595090525
the lambda is 2.0
the regulation term lambda/alpha is 7.076661056788469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3372840349925675
the lambda is 2.0
the regulation term lambda/alpha is 5.929720332135118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2729444363429453
the lambda is 2.0
the regulation term lambda/alpha is 7.327498690931618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2942183890280603
the lambda is 2.0
the regulation term lambda/alpha is 6.797671643186297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3340598311928428
the lambda is 2.0
the regulation term lambda/alpha is 5.986951477699392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.24439639707505356
the lambda is 2.0
the regulation term lambda/alpha is 8.183426695058047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.323111623093555
the lambda is 2.0
the regulation term lambda/alpha is 6.18981137494058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3211499406087569
the lambda is 2.0
the regulation term lambda/alpha is 6.227620644141777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39047850832703
the lambda is 2.0
the regulation term lambda/alpha is 5.1219208159978376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3037619942624258
the lambda is 2.0
the regulation term lambda/alpha is 6.584102151608084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34131455117977255
the lambda is 2.0
the regulation term lambda/alpha is 5.859697434776484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259872904077614
the lambda is 2.0
the regulation term lambda/alpha is 6.135208515332909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2604313136190359
the lambda is 2.0
the regulation term lambda/alpha is 7.679568068091996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29477958447227487
the lambda is 2.0
the regulation term lambda/alpha is 6.784730372629003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3084855316781045
the lambda is 2.0
the regulation term lambda/alpha is 6.483286231027978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3508117265087956
the lambda is 2.0
the regulation term lambda/alpha is 5.701063701329424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3088879936514599
the lambda is 2.0
the regulation term lambda/alpha is 6.474838909591096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3465896852755726
the lambda is 2.0
the regulation term lambda/alpha is 5.7705121790044185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3074487767844212
the lambda is 2.0
the regulation term lambda/alpha is 6.505148665471427
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26764201746583033
the lambda is 2.0
the regulation term lambda/alpha is 7.472668226525152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31369098575022963
the lambda is 2.0
the regulation term lambda/alpha is 6.375701218244318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3082975440010288
the lambda is 2.0
the regulation term lambda/alpha is 6.487239483144653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33503622875017475
the lambda is 2.0
the regulation term lambda/alpha is 5.969503678634506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35111891395491784
the lambda is 2.0
the regulation term lambda/alpha is 5.696075946101813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3409072408233342
the lambda is 2.0
the regulation term lambda/alpha is 5.866698504759672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28654316089000686
the lambda is 2.0
the regulation term lambda/alpha is 6.979751300948776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.43316037045388983
the lambda is 2.0
the regulation term lambda/alpha is 4.617227559170031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3158578939404234
the lambda is 2.0
the regulation term lambda/alpha is 6.331961424327222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3432674229636801
the lambda is 2.0
the regulation term lambda/alpha is 5.826361216373313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30616181288822364
the lambda is 2.0
the regulation term lambda/alpha is 6.532493328063021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30660923340303925
the lambda is 2.0
the regulation term lambda/alpha is 6.5229607660607885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3106521335016468
the lambda is 2.0
the regulation term lambda/alpha is 6.438069416926757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3247326325440882
the lambda is 2.0
the regulation term lambda/alpha is 6.158912901149424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32296749484553644
the lambda is 2.0
the regulation term lambda/alpha is 6.192573654994373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3048698498783806
the lambda is 2.0
the regulation term lambda/alpha is 6.560176418881187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3374875755492811
the lambda is 2.0
the regulation term lambda/alpha is 5.926144086178228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.338294929486699
the lambda is 2.0
the regulation term lambda/alpha is 5.912001114041633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3233327675981135
the lambda is 2.0
the regulation term lambda/alpha is 6.185577833193511
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3436250504133051
the lambda is 2.0
the regulation term lambda/alpha is 5.820297436390162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29168018335457285
the lambda is 2.0
the regulation term lambda/alpha is 6.856825091777853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3071462843354318
the lambda is 2.0
the regulation term lambda/alpha is 6.511555249080654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3398736155424996
the lambda is 2.0
the regulation term lambda/alpha is 5.884540336582583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35494686378825074
the lambda is 2.0
the regulation term lambda/alpha is 5.634646207757824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3626870369742827
the lambda is 2.0
the regulation term lambda/alpha is 5.514396149046307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303355824147527
the lambda is 2.0
the regulation term lambda/alpha is 6.592917757950699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3073617818698115
the lambda is 2.0
the regulation term lambda/alpha is 6.506989866577281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30275123275684873
the lambda is 2.0
the regulation term lambda/alpha is 6.606083753278315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3201471008661016
the lambda is 2.0
the regulation term lambda/alpha is 6.247128256321398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35361652296421087
the lambda is 2.0
the regulation term lambda/alpha is 5.655844311897207
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.348064124171747
the lambda is 2.0
the regulation term lambda/alpha is 5.746067638424954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2885275991560226
the lambda is 2.0
the regulation term lambda/alpha is 6.931745891381749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37446138972845433
the lambda is 2.0
the regulation term lambda/alpha is 5.341004586481738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40698566894974464
the lambda is 2.0
the regulation term lambda/alpha is 4.914177949216595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3162484748661812
the lambda is 2.0
the regulation term lambda/alpha is 6.32414117047138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34193877482715734
the lambda is 2.0
the regulation term lambda/alpha is 5.849000310102172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.318380299026705
the lambda is 2.0
the regulation term lambda/alpha is 6.281795720759232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35199566361594364
the lambda is 2.0
the regulation term lambda/alpha is 5.681888178549169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3485312897381131
the lambda is 2.0
the regulation term lambda/alpha is 5.738365704562144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3599092762588527
the lambda is 2.0
the regulation term lambda/alpha is 5.556955966207347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.335630836127156
the lambda is 2.0
the regulation term lambda/alpha is 5.958928038549732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3499104863501944
the lambda is 2.0
the regulation term lambda/alpha is 5.715747535495056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3359135849597624
the lambda is 2.0
the regulation term lambda/alpha is 5.953912224894301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2946724470361428
the lambda is 2.0
the regulation term lambda/alpha is 6.7871971747487185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2956074439676008
the lambda is 2.0
the regulation term lambda/alpha is 6.765729486227702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33646673978506797
the lambda is 2.0
the regulation term lambda/alpha is 5.944123931172462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3315774093585733
the lambda is 2.0
the regulation term lambda/alpha is 6.031774009782334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34335243666295384
the lambda is 2.0
the regulation term lambda/alpha is 5.824918615513617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28994995439500154
the lambda is 2.0
the regulation term lambda/alpha is 6.897742074742254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2960376868057792
the lambda is 2.0
the regulation term lambda/alpha is 6.7558965940445805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.280742564354721
the lambda is 2.0
the regulation term lambda/alpha is 7.123964278793793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3597313620954267
the lambda is 2.0
the regulation term lambda/alpha is 5.559704298090795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31679460069383264
the lambda is 2.0
the regulation term lambda/alpha is 6.313238911331408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36103945114891794
the lambda is 2.0
the regulation term lambda/alpha is 5.53956082537656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31275383528888795
the lambda is 2.0
the regulation term lambda/alpha is 6.394805672495168
620
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30550770732189114
the lambda is 2.0
the regulation term lambda/alpha is 6.546479686329962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32851735706038193
the lambda is 2.0
the regulation term lambda/alpha is 6.087958389463109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30039423353316214
the lambda is 2.0
the regulation term lambda/alpha is 6.657917418974719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2846043384457446
the lambda is 2.0
the regulation term lambda/alpha is 7.027299762618583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008957326018629
the lambda is 2.0
the regulation term lambda/alpha is 6.646820753175472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3935588889320773
the lambda is 2.0
the regulation term lambda/alpha is 5.081831604482377
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29123773510628054
the lambda is 2.0
the regulation term lambda/alpha is 6.8672419776583755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27781521014421034
the lambda is 2.0
the regulation term lambda/alpha is 7.199029883791551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29593030490497096
the lambda is 2.0
the regulation term lambda/alpha is 6.758348053073643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35028605937905766
the lambda is 2.0
the regulation term lambda/alpha is 5.709619171100741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34062289890916053
the lambda is 2.0
the regulation term lambda/alpha is 5.871595851027539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31090749220345665
the lambda is 2.0
the regulation term lambda/alpha is 6.432781615604194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2985499881574995
the lambda is 2.0
the regulation term lambda/alpha is 6.699045651761686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3430158027987823
the lambda is 2.0
the regulation term lambda/alpha is 5.830635159317214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35157314323322925
the lambda is 2.0
the regulation term lambda/alpha is 5.688716668193352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245294865384956
the lambda is 2.0
the regulation term lambda/alpha is 6.162768201227103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2924796230034971
the lambda is 2.0
the regulation term lambda/alpha is 6.838083212299841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32957914995927895
the lambda is 2.0
the regulation term lambda/alpha is 6.068345040173535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3645289032612376
the lambda is 2.0
the regulation term lambda/alpha is 5.486533391747845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.346504568214432
the lambda is 2.0
the regulation term lambda/alpha is 5.771929675577361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37765109612570996
the lambda is 2.0
the regulation term lambda/alpha is 5.295893539083634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34624921347040255
the lambda is 2.0
the regulation term lambda/alpha is 5.776186406185037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34225322105274
the lambda is 2.0
the regulation term lambda/alpha is 5.843626522631929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25916946570832033
the lambda is 2.0
the regulation term lambda/alpha is 7.7169584562514775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2927629497227913
the lambda is 2.0
the regulation term lambda/alpha is 6.8314655317339215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2931315057058664
the lambda is 2.0
the regulation term lambda/alpha is 6.8228762895477955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25494400251907234
the lambda is 2.0
the regulation term lambda/alpha is 7.84485997018259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29170891308436847
the lambda is 2.0
the regulation term lambda/alpha is 6.856149779083223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31448354388253924
the lambda is 2.0
the regulation term lambda/alpha is 6.35963324283514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3808084986234309
the lambda is 2.0
the regulation term lambda/alpha is 5.251983627544338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27677875737683655
the lambda is 2.0
the regulation term lambda/alpha is 7.225988074211142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077740380901325
the lambda is 2.0
the regulation term lambda/alpha is 6.498273903838161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28950729372112516
the lambda is 2.0
the regulation term lambda/alpha is 6.908288818196573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32857473367693674
the lambda is 2.0
the regulation term lambda/alpha is 6.086895293557332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34472228924872234
the lambda is 2.0
the regulation term lambda/alpha is 5.801771635825294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30446237266445275
the lambda is 2.0
the regulation term lambda/alpha is 6.5689562309369345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2658688104521727
the lambda is 2.0
the regulation term lambda/alpha is 7.522507046232793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30910469801293067
the lambda is 2.0
the regulation term lambda/alpha is 6.4702995873467275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2934477435368865
the lambda is 2.0
the regulation term lambda/alpha is 6.815523526929417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3085628432347886
the lambda is 2.0
the regulation term lambda/alpha is 6.481661819787484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3001211957837359
the lambda is 2.0
the regulation term lambda/alpha is 6.663974514619682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3120058368470913
the lambda is 2.0
the regulation term lambda/alpha is 6.410136490427791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31915322217641023
the lambda is 2.0
the regulation term lambda/alpha is 6.26658250968405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32685574245497295
the lambda is 2.0
the regulation term lambda/alpha is 6.118907335016506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39643726687292863
the lambda is 2.0
the regulation term lambda/alpha is 5.044934387162614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31259847330731677
the lambda is 2.0
the regulation term lambda/alpha is 6.397983901968044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208741869993933
the lambda is 2.0
the regulation term lambda/alpha is 6.2329725513376415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3004369534546158
the lambda is 2.0
the regulation term lambda/alpha is 6.6569707121668085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27727234784943827
the lambda is 2.0
the regulation term lambda/alpha is 7.213124624623659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249482687037218
the lambda is 2.0
the regulation term lambda/alpha is 6.154825837289014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.229429371014649
the lambda is 2.0
the regulation term lambda/alpha is 8.717279706408211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3600914075166492
the lambda is 2.0
the regulation term lambda/alpha is 5.554145303807417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.339055462901581
the lambda is 2.0
the regulation term lambda/alpha is 5.898739937366967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3038387350999876
the lambda is 2.0
the regulation term lambda/alpha is 6.582439198681622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3234665507735534
the lambda is 2.0
the regulation term lambda/alpha is 6.1830195277289235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2867454753558034
the lambda is 2.0
the regulation term lambda/alpha is 6.9748267083145175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30407358794133604
the lambda is 2.0
the regulation term lambda/alpha is 6.577355217007055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3450490095843521
the lambda is 2.0
the regulation term lambda/alpha is 5.79627804875954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3113478208214023
the lambda is 2.0
the regulation term lambda/alpha is 6.423683951676846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2801510858906081
the lambda is 2.0
the regulation term lambda/alpha is 7.13900498954678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3407184543840805
the lambda is 2.0
the regulation term lambda/alpha is 5.869949145007177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3257080672817818
the lambda is 2.0
the regulation term lambda/alpha is 6.140468109037434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32918186260798815
the lambda is 2.0
the regulation term lambda/alpha is 6.075668884533089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3059902229928236
the lambda is 2.0
the regulation term lambda/alpha is 6.536156549181332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.27988165728790343
the lambda is 2.0
the regulation term lambda/alpha is 7.145877366099334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31657943160618857
the lambda is 2.0
the regulation term lambda/alpha is 6.31752982135591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32331219628008806
the lambda is 2.0
the regulation term lambda/alpha is 6.1859714016707965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3390087901796281
the lambda is 2.0
the regulation term lambda/alpha is 5.899552040937566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242883732150099
the lambda is 2.0
the regulation term lambda/alpha is 6.167350312846272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31125129001014235
the lambda is 2.0
the regulation term lambda/alpha is 6.425676179317453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28761840328506166
the lambda is 2.0
the regulation term lambda/alpha is 6.953657961927348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30271253860020814
the lambda is 2.0
the regulation term lambda/alpha is 6.606928174327777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302247346892369
the lambda is 2.0
the regulation term lambda/alpha is 6.056481510635873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167235049573002
the lambda is 2.0
the regulation term lambda/alpha is 6.314656060242939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29411833294216
the lambda is 2.0
the regulation term lambda/alpha is 6.799984142414241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3665653576340403
the lambda is 2.0
the regulation term lambda/alpha is 5.456052947580211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3334518050381916
the lambda is 2.0
the regulation term lambda/alpha is 5.997868266962692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2841985227118369
the lambda is 2.0
the regulation term lambda/alpha is 7.037334258165375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3080258581105554
the lambda is 2.0
the regulation term lambda/alpha is 6.4929613775547645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3155781188833324
the lambda is 2.0
the regulation term lambda/alpha is 6.337575010197046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30461001805760657
the lambda is 2.0
the regulation term lambda/alpha is 6.565772238067916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.31364959071363335
the lambda is 2.0
the regulation term lambda/alpha is 6.376542674420478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3634833092775229
the lambda is 2.0
the regulation term lambda/alpha is 5.502315921947825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222499255564674
the lambda is 2.0
the regulation term lambda/alpha is 6.206362954301265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3381134824304103
the lambda is 2.0
the regulation term lambda/alpha is 5.91517376244124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2775672157001145
the lambda is 2.0
the regulation term lambda/alpha is 7.205461909308531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32740671991632175
the lambda is 2.0
the regulation term lambda/alpha is 6.10861011194626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33218266206753017
the lambda is 2.0
the regulation term lambda/alpha is 6.020783828848405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30282783766749205
the lambda is 2.0
the regulation term lambda/alpha is 6.604412643846897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077450624491856
the lambda is 2.0
the regulation term lambda/alpha is 6.498885746802963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28817710674477887
the lambda is 2.0
the regulation term lambda/alpha is 6.940176555285079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33257934575718323
the lambda is 2.0
the regulation term lambda/alpha is 6.013602544820097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3271539790794153
the lambda is 2.0
the regulation term lambda/alpha is 6.113329281911342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3396400631328044
the lambda is 2.0
the regulation term lambda/alpha is 5.8885868220380395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2968169076438251
the lambda is 2.0
the regulation term lambda/alpha is 6.738160625269917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970245087899662
the lambda is 2.0
the regulation term lambda/alpha is 6.7334510816891955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39016069140299453
the lambda is 2.0
the regulation term lambda/alpha is 5.126093027998591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33007246961947934
the lambda is 2.0
the regulation term lambda/alpha is 6.059275413989175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2771812222014909
the lambda is 2.0
the regulation term lambda/alpha is 7.215495999747571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36466662359220225
the lambda is 2.0
the regulation term lambda/alpha is 5.484461342523496
630
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29483483657172005
the lambda is 2.0
the regulation term lambda/alpha is 6.783458912981913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31908129480387326
the lambda is 2.0
the regulation term lambda/alpha is 6.26799512403045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3758982509181314
the lambda is 2.0
the regulation term lambda/alpha is 5.320588736752566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3727027946220976
the lambda is 2.0
the regulation term lambda/alpha is 5.366206073200772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2971527106043882
the lambda is 2.0
the regulation term lambda/alpha is 6.730546041232932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3163870883732469
the lambda is 2.0
the regulation term lambda/alpha is 6.321370477800813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302792476760152
the lambda is 2.0
the regulation term lambda/alpha is 6.055481881083501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30149702956011104
the lambda is 2.0
the regulation term lambda/alpha is 6.6335645260519875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33969949465331967
the lambda is 2.0
the regulation term lambda/alpha is 5.887556594810658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2727354753438765
the lambda is 2.0
the regulation term lambda/alpha is 7.333112780720275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2812782601814148
the lambda is 2.0
the regulation term lambda/alpha is 7.110396653868909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32695485133693897
the lambda is 2.0
the regulation term lambda/alpha is 6.117052528267662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26857288728927464
the lambda is 2.0
the regulation term lambda/alpha is 7.446768064290268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30732884526073373
the lambda is 2.0
the regulation term lambda/alpha is 6.5076872244231625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28053980193907785
the lambda is 2.0
the regulation term lambda/alpha is 7.129113181716443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30060333989991206
the lambda is 2.0
the regulation term lambda/alpha is 6.65328602358814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28887441092656674
the lambda is 2.0
the regulation term lambda/alpha is 6.923423897551139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2876636574514552
the lambda is 2.0
the regulation term lambda/alpha is 6.952564038568239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32069633381258583
the lambda is 2.0
the regulation term lambda/alpha is 6.23642926073734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2955238149391971
the lambda is 2.0
the regulation term lambda/alpha is 6.767644091260436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3288115243712146
the lambda is 2.0
the regulation term lambda/alpha is 6.082511870058675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3173311767842232
the lambda is 2.0
the regulation term lambda/alpha is 6.302563839669454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33667637809163076
the lambda is 2.0
the regulation term lambda/alpha is 5.940422703061379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3277882572142003
the lambda is 2.0
the regulation term lambda/alpha is 6.1014998432145084
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3356919500095889
the lambda is 2.0
the regulation term lambda/alpha is 5.95784319505687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29182548605469966
the lambda is 2.0
the regulation term lambda/alpha is 6.853411012995352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2842288454024194
the lambda is 2.0
the regulation term lambda/alpha is 7.036583486691304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3375021609599
the lambda is 2.0
the regulation term lambda/alpha is 5.925887983388729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2670989639787111
the lambda is 2.0
the regulation term lambda/alpha is 7.487861316300008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3247303797288505
the lambda is 2.0
the regulation term lambda/alpha is 6.158955628574073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33552943964227
the lambda is 2.0
the regulation term lambda/alpha is 5.960728817513991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2983121250746855
the lambda is 2.0
the regulation term lambda/alpha is 6.704387223614459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26575788712216847
the lambda is 2.0
the regulation term lambda/alpha is 7.525646827108478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2727390814102898
the lambda is 2.0
the regulation term lambda/alpha is 7.333015824715411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29077610073671173
the lambda is 2.0
the regulation term lambda/alpha is 6.87814436926828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3009654133137644
the lambda is 2.0
the regulation term lambda/alpha is 6.645281854745704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3057926016466479
the lambda is 2.0
the regulation term lambda/alpha is 6.540380601853335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31575865414665544
the lambda is 2.0
the regulation term lambda/alpha is 6.333951496610736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35627665506990247
the lambda is 2.0
the regulation term lambda/alpha is 5.6136150700292005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.33176343293168004
the lambda is 2.0
the regulation term lambda/alpha is 6.028391924711785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30541148818067615
the lambda is 2.0
the regulation term lambda/alpha is 6.548542138718877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2669190380073029
the lambda is 2.0
the regulation term lambda/alpha is 7.4929087671344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2583462359891302
the lambda is 2.0
the regulation term lambda/alpha is 7.741548826297392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31321879173155676
the lambda is 2.0
the regulation term lambda/alpha is 6.385312927565643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35283209873202387
the lambda is 2.0
the regulation term lambda/alpha is 5.668418511772085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2891033917864283
the lambda is 2.0
the regulation term lambda/alpha is 6.917940283030219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3331188998304727
the lambda is 2.0
the regulation term lambda/alpha is 6.003862287663109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3372582064578376
the lambda is 2.0
the regulation term lambda/alpha is 5.930174452997425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096798859440242
the lambda is 2.0
the regulation term lambda/alpha is 6.458281892939949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30756396278504156
the lambda is 2.0
the regulation term lambda/alpha is 6.502712417572188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3203869242444956
the lambda is 2.0
the regulation term lambda/alpha is 6.242452012410307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30089293581994764
the lambda is 2.0
the regulation term lambda/alpha is 6.646882534978444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30268952037430646
the lambda is 2.0
the regulation term lambda/alpha is 6.607430602575193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089891953244744
the lambda is 2.0
the regulation term lambda/alpha is 6.472718238253505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3393146188654075
the lambda is 2.0
the regulation term lambda/alpha is 5.894234697837525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078654726172714
the lambda is 2.0
the regulation term lambda/alpha is 6.4963439485347445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32662970251657825
the lambda is 2.0
the regulation term lambda/alpha is 6.123141847145665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3303664243461533
the lambda is 2.0
the regulation term lambda/alpha is 6.053883968258312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.331927936364901
the lambda is 2.0
the regulation term lambda/alpha is 6.025404254619064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3527932483124553
the lambda is 2.0
the regulation term lambda/alpha is 5.669042731307255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35272483297790014
the lambda is 2.0
the regulation term lambda/alpha is 5.670142312110214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2775122973697198
the lambda is 2.0
the regulation term lambda/alpha is 7.206887835083831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30929428856779717
the lambda is 2.0
the regulation term lambda/alpha is 6.4663334368736685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28658604962140827
the lambda is 2.0
the regulation term lambda/alpha is 6.978706753668159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31064661300405655
the lambda is 2.0
the regulation term lambda/alpha is 6.438183827788533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29191644836460195
the lambda is 2.0
the regulation term lambda/alpha is 6.851275463251771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3195410781893741
the lambda is 2.0
the regulation term lambda/alpha is 6.2589761896425475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35693969953205945
the lambda is 2.0
the regulation term lambda/alpha is 5.603187324419107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30586010557723375
the lambda is 2.0
the regulation term lambda/alpha is 6.538937126911353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2639809049476284
the lambda is 2.0
the regulation term lambda/alpha is 7.576305567998501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3080299264473063
the lambda is 2.0
the regulation term lambda/alpha is 6.492875621103437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3130658316088641
the lambda is 2.0
the regulation term lambda/alpha is 6.388432713087468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3592753518526751
the lambda is 2.0
the regulation term lambda/alpha is 5.566760952808481
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32825958262677285
the lambda is 2.0
the regulation term lambda/alpha is 6.092739118217839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30556299815591154
the lambda is 2.0
the regulation term lambda/alpha is 6.5452951177665595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31826459699340076
the lambda is 2.0
the regulation term lambda/alpha is 6.28407940717789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32075430889364176
the lambda is 2.0
the regulation term lambda/alpha is 6.235302050652033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3448817379885107
the lambda is 2.0
the regulation term lambda/alpha is 5.799089310048152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3379634345800223
the lambda is 2.0
the regulation term lambda/alpha is 5.917799961067812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31920365335992595
the lambda is 2.0
the regulation term lambda/alpha is 6.265592448419914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3181120383518915
the lambda is 2.0
the regulation term lambda/alpha is 6.287093095759002
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2863686905266968
the lambda is 2.0
the regulation term lambda/alpha is 6.984003720244513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31389171096936186
the lambda is 2.0
the regulation term lambda/alpha is 6.371624130575448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30347776737258275
the lambda is 2.0
the regulation term lambda/alpha is 6.590268596330418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26831859911473366
the lambda is 2.0
the regulation term lambda/alpha is 7.4538254396028485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3411095992469281
the lambda is 2.0
the regulation term lambda/alpha is 5.863218169220171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26468203726475814
the lambda is 2.0
the regulation term lambda/alpha is 7.556236232228426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3506691193493006
the lambda is 2.0
the regulation term lambda/alpha is 5.703382161825903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3112831770600193
the lambda is 2.0
the regulation term lambda/alpha is 6.425017949538516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31429452163866445
the lambda is 2.0
the regulation term lambda/alpha is 6.363458037933425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.30688244990131763
the lambda is 2.0
the regulation term lambda/alpha is 6.517153394216998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3687705249977012
the lambda is 2.0
the regulation term lambda/alpha is 5.423426940134295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2741977844108768
the lambda is 2.0
the regulation term lambda/alpha is 7.29400496177264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29897833612703795
the lambda is 2.0
the regulation term lambda/alpha is 6.689447890800309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2910190849658939
the lambda is 2.0
the regulation term lambda/alpha is 6.872401513579052
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298226173964489
the lambda is 2.0
the regulation term lambda/alpha is 6.706319480322167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32051630523218444
the lambda is 2.0
the regulation term lambda/alpha is 6.239932157433254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3664648238969957
the lambda is 2.0
the regulation term lambda/alpha is 5.457549728052893
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3085331504680304
the lambda is 2.0
the regulation term lambda/alpha is 6.482285605180815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2840009273974953
the lambda is 2.0
the regulation term lambda/alpha is 7.042230524834683
640
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29809673095591865
the lambda is 2.0
the regulation term lambda/alpha is 6.709231575893235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34377329375839794
the lambda is 2.0
the regulation term lambda/alpha is 5.817787583597432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3569649557806185
the lambda is 2.0
the regulation term lambda/alpha is 5.6027908835654685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32110218027893284
the lambda is 2.0
the regulation term lambda/alpha is 6.2285469325142975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3869207620922695
the lambda is 2.0
the regulation term lambda/alpha is 5.169017007991568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31654121151780085
the lambda is 2.0
the regulation term lambda/alpha is 6.318292617918817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34414643202113315
the lambda is 2.0
the regulation term lambda/alpha is 5.8114796897768946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3544731635609278
the lambda is 2.0
the regulation term lambda/alpha is 5.642176067459151
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27434401176258305
the lambda is 2.0
the regulation term lambda/alpha is 7.290117204128361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29147856920929105
the lambda is 2.0
the regulation term lambda/alpha is 6.861567920500993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3705051576560013
the lambda is 2.0
the regulation term lambda/alpha is 5.39803551630155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32850062227100807
the lambda is 2.0
the regulation term lambda/alpha is 6.0882685279969735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33859524390517737
the lambda is 2.0
the regulation term lambda/alpha is 5.906757510628514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222788252198641
the lambda is 2.0
the regulation term lambda/alpha is 6.2058064119960905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30035721087543915
the lambda is 2.0
the regulation term lambda/alpha is 6.658738087794463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30953391826234544
the lambda is 2.0
the regulation term lambda/alpha is 6.4613274410363655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33431242046564313
the lambda is 2.0
the regulation term lambda/alpha is 5.982428045043386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3107332484262363
the lambda is 2.0
the regulation term lambda/alpha is 6.4363888001343765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32930685157823997
the lambda is 2.0
the regulation term lambda/alpha is 6.07336285417317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3382174288363868
the lambda is 2.0
the regulation term lambda/alpha is 5.913355816348256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31975990226084844
the lambda is 2.0
the regulation term lambda/alpha is 6.254692930098763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2886307132893152
the lambda is 2.0
the regulation term lambda/alpha is 6.929269505685824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3274839979704058
the lambda is 2.0
the regulation term lambda/alpha is 6.107168632345624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.321133498787891
the lambda is 2.0
the regulation term lambda/alpha is 6.2279394941634605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3127926832620193
the lambda is 2.0
the regulation term lambda/alpha is 6.394011455583331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3257375015851008
the lambda is 2.0
the regulation term lambda/alpha is 6.13991324384702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3303284730987507
the lambda is 2.0
the regulation term lambda/alpha is 6.054579495489346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31749818710889594
the lambda is 2.0
the regulation term lambda/alpha is 6.299248566462011
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30238940369681033
the lambda is 2.0
the regulation term lambda/alpha is 6.613988372440765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2646616028241027
the lambda is 2.0
the regulation term lambda/alpha is 7.556819646895375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33204109076894317
the lambda is 2.0
the regulation term lambda/alpha is 6.02335089120562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2927775010007394
the lambda is 2.0
the regulation term lambda/alpha is 6.831126002386874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3564998025507913
the lambda is 2.0
the regulation term lambda/alpha is 5.610101283899184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34788104949404214
the lambda is 2.0
the regulation term lambda/alpha is 5.74909154410336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3638647289850397
the lambda is 2.0
the regulation term lambda/alpha is 5.496548141884426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3369375862420343
the lambda is 2.0
the regulation term lambda/alpha is 5.935817438198565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031987913291241
the lambda is 2.0
the regulation term lambda/alpha is 6.596332364098998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2829293532552244
the lambda is 2.0
the regulation term lambda/alpha is 7.068902455645327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3353143970434954
the lambda is 2.0
the regulation term lambda/alpha is 5.964551530248102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2741874129105659
the lambda is 2.0
the regulation term lambda/alpha is 7.294280867124843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2855251779619596
the lambda is 2.0
the regulation term lambda/alpha is 7.0046362085324025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31228045294319673
the lambda is 2.0
the regulation term lambda/alpha is 6.404499484839023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32452998908718417
the lambda is 2.0
the regulation term lambda/alpha is 6.162758657914678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31054735345702716
the lambda is 2.0
the regulation term lambda/alpha is 6.440241649899475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3904401611564747
the lambda is 2.0
the regulation term lambda/alpha is 5.122423866633101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2879576465077078
the lambda is 2.0
the regulation term lambda/alpha is 6.945465849771994
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32667802428500714
the lambda is 2.0
the regulation term lambda/alpha is 6.1222361203431275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3390066755732855
the lambda is 2.0
the regulation term lambda/alpha is 5.899588840301894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2815232310470853
the lambda is 2.0
the regulation term lambda/alpha is 7.104209455686078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3224197750802246
the lambda is 2.0
the regulation term lambda/alpha is 6.2030934656609045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3382717476910925
the lambda is 2.0
the regulation term lambda/alpha is 5.912406264050129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33599044664580613
the lambda is 2.0
the regulation term lambda/alpha is 5.952550198870258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3037948797186769
the lambda is 2.0
the regulation term lambda/alpha is 6.583389429907639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34384875198224035
the lambda is 2.0
the regulation term lambda/alpha is 5.8165108597029285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3005903576044734
the lambda is 2.0
the regulation term lambda/alpha is 6.653573374538066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34196231929651444
the lambda is 2.0
the regulation term lambda/alpha is 5.848597600210468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32384966991055625
the lambda is 2.0
the regulation term lambda/alpha is 6.175704920595961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.45367665713784183
the lambda is 2.0
the regulation term lambda/alpha is 4.408426064099513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.360139318503715
the lambda is 2.0
the regulation term lambda/alpha is 5.553406410356633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30221872297233365
the lambda is 2.0
the regulation term lambda/alpha is 6.617723681477829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30903190272494824
the lambda is 2.0
the regulation term lambda/alpha is 6.471823725526767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3105332383622215
the lambda is 2.0
the regulation term lambda/alpha is 6.440534387069702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40229915586699183
the lambda is 2.0
the regulation term lambda/alpha is 4.9714247987665185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29662905055020156
the lambda is 2.0
the regulation term lambda/alpha is 6.7424279459152965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3070322182884552
the lambda is 2.0
the regulation term lambda/alpha is 6.513974367735604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3174262649734852
the lambda is 2.0
the regulation term lambda/alpha is 6.300675844095829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31429684471412317
the lambda is 2.0
the regulation term lambda/alpha is 6.363411003438968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3586485024537427
the lambda is 2.0
the regulation term lambda/alpha is 5.576490592646357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.29812490724808954
the lambda is 2.0
the regulation term lambda/alpha is 6.708597475002875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32829900342738344
the lambda is 2.0
the regulation term lambda/alpha is 6.092007527041978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35836548557220765
the lambda is 2.0
the regulation term lambda/alpha is 5.580894590913434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28885428512100114
the lambda is 2.0
the regulation term lambda/alpha is 6.923906284312865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212042701389527
the lambda is 2.0
the regulation term lambda/alpha is 6.226567284223219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32479689382151805
the lambda is 2.0
the regulation term lambda/alpha is 6.157694356212154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.360117270446623
the lambda is 2.0
the regulation term lambda/alpha is 5.553746415770532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3554096917440389
the lambda is 2.0
the regulation term lambda/alpha is 5.627308558148076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804857352959647
the lambda is 2.0
the regulation term lambda/alpha is 7.130487394981522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32957130083365327
the lambda is 2.0
the regulation term lambda/alpha is 6.068489564901385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3221319582058672
the lambda is 2.0
the regulation term lambda/alpha is 6.208635775038021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.353231373847111
the lambda is 2.0
the regulation term lambda/alpha is 5.66201121439926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3269932100009375
the lambda is 2.0
the regulation term lambda/alpha is 6.116334953848938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3267830498805621
the lambda is 2.0
the regulation term lambda/alpha is 6.12026848005425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30310308306427286
the lambda is 2.0
the regulation term lambda/alpha is 6.59841523148051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.3493446018848136
the lambda is 2.0
the regulation term lambda/alpha is 5.72500616643117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298813502177572
the lambda is 2.0
the regulation term lambda/alpha is 6.693137978790149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031289609816129
the lambda is 2.0
the regulation term lambda/alpha is 6.597851929170553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33361777995860825
the lambda is 2.0
the regulation term lambda/alpha is 5.994884326153536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31965116873872723
the lambda is 2.0
the regulation term lambda/alpha is 6.256820545632783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38658394105749755
the lambda is 2.0
the regulation term lambda/alpha is 5.173520644776435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305131302209542
the lambda is 2.0
the regulation term lambda/alpha is 6.554555319357387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3323214954159996
the lambda is 2.0
the regulation term lambda/alpha is 6.0182685369070175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27239484591800267
the lambda is 2.0
the regulation term lambda/alpha is 7.3422828293970275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3327626604686837
the lambda is 2.0
the regulation term lambda/alpha is 6.010289727768961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30304286871450636
the lambda is 2.0
the regulation term lambda/alpha is 6.599726330746228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34189739144355075
the lambda is 2.0
the regulation term lambda/alpha is 5.849708275209849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29233485644846413
the lambda is 2.0
the regulation term lambda/alpha is 6.841469485704593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28332396341901467
the lambda is 2.0
the regulation term lambda/alpha is 7.059056974443604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2760248689273665
the lambda is 2.0
the regulation term lambda/alpha is 7.2457239370206254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29770985787054804
the lambda is 2.0
the regulation term lambda/alpha is 6.717950202608513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30383516504826275
the lambda is 2.0
the regulation term lambda/alpha is 6.582516542093835
650
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2986765504710362
the lambda is 2.0
the regulation term lambda/alpha is 6.696206973215152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39980366037803566
the lambda is 2.0
the regulation term lambda/alpha is 5.002455450530126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33632422584805405
the lambda is 2.0
the regulation term lambda/alpha is 5.946642692648517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34547081969780846
the lambda is 2.0
the regulation term lambda/alpha is 5.789200956970686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2939799017693772
the lambda is 2.0
the regulation term lambda/alpha is 6.803186163280542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3088587083469804
the lambda is 2.0
the regulation term lambda/alpha is 6.475452839597919
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36339019316612137
the lambda is 2.0
the regulation term lambda/alpha is 5.50372585064703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086376200384549
the lambda is 2.0
the regulation term lambda/alpha is 6.480091441058963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3378269095938716
the lambda is 2.0
the regulation term lambda/alpha is 5.920191503999364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28705929196502855
the lambda is 2.0
the regulation term lambda/alpha is 6.967201745358074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25898542264536584
the lambda is 2.0
the regulation term lambda/alpha is 7.7224423659498465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30775975574061293
the lambda is 2.0
the regulation term lambda/alpha is 6.498575472244807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3332572387970074
the lambda is 2.0
the regulation term lambda/alpha is 6.001370014405699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2624012094200992
the lambda is 2.0
the regulation term lambda/alpha is 7.621916089563594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28767397587089094
the lambda is 2.0
the regulation term lambda/alpha is 6.952314660877099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30402468166326047
the lambda is 2.0
the regulation term lambda/alpha is 6.578413269141128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32601157081631077
the lambda is 2.0
the regulation term lambda/alpha is 6.134751582565417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2811201878460668
the lambda is 2.0
the regulation term lambda/alpha is 7.114394790797243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30633738772131974
the lambda is 2.0
the regulation term lambda/alpha is 6.528749281558259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3619552081528497
the lambda is 2.0
the regulation term lambda/alpha is 5.525545578433622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2931841073599488
the lambda is 2.0
the regulation term lambda/alpha is 6.821652162559256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3453295605997376
the lambda is 2.0
the regulation term lambda/alpha is 5.791569063843183
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3291958313774154
the lambda is 2.0
the regulation term lambda/alpha is 6.0754110756252135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3098965629763495
the lambda is 2.0
the regulation term lambda/alpha is 6.453766317352267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2962886411893113
the lambda is 2.0
the regulation term lambda/alpha is 6.7501743974117305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3106771630737371
the lambda is 2.0
the regulation term lambda/alpha is 6.437550736631755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3120284914601364
the lambda is 2.0
the regulation term lambda/alpha is 6.409671086896603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34849366808058385
the lambda is 2.0
the regulation term lambda/alpha is 5.738985190220244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32526165976966487
the lambda is 2.0
the regulation term lambda/alpha is 6.148895635029062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3281205720222838
the lambda is 2.0
the regulation term lambda/alpha is 6.095320350301514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31839181648202275
the lambda is 2.0
the regulation term lambda/alpha is 6.281568484072283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3155611980375685
the lambda is 2.0
the regulation term lambda/alpha is 6.337914840093534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.350606526344701
the lambda is 2.0
the regulation term lambda/alpha is 5.704400373978456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31406214125977644
the lambda is 2.0
the regulation term lambda/alpha is 6.368166478065564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3400472590339826
the lambda is 2.0
the regulation term lambda/alpha is 5.881535424463252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29851209504337056
the lambda is 2.0
the regulation term lambda/alpha is 6.69989602836502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3116386609992171
the lambda is 2.0
the regulation term lambda/alpha is 6.4176889785989175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33306139734883616
the lambda is 2.0
the regulation term lambda/alpha is 6.00489884423704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3417118219162675
the lambda is 2.0
the regulation term lambda/alpha is 5.852885009316642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3580461870341204
the lambda is 2.0
the regulation term lambda/alpha is 5.585871522797163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2884336024257486
the lambda is 2.0
the regulation term lambda/alpha is 6.934004856507173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34336341042363294
the lambda is 2.0
the regulation term lambda/alpha is 5.82473245338649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3003074676490003
the lambda is 2.0
the regulation term lambda/alpha is 6.659841047767757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31124770388486417
the lambda is 2.0
the regulation term lambda/alpha is 6.425750214497435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26533397039981593
the lambda is 2.0
the regulation term lambda/alpha is 7.53767034423191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3389930954551651
the lambda is 2.0
the regulation term lambda/alpha is 5.899825178783082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3164726782839436
the lambda is 2.0
the regulation term lambda/alpha is 6.3196608656548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34695816434296983
the lambda is 2.0
the regulation term lambda/alpha is 5.764383737121085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30748953592734707
the lambda is 2.0
the regulation term lambda/alpha is 6.504286378293392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3233935026997152
the lambda is 2.0
the regulation term lambda/alpha is 6.184416147213342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3214190251814326
the lambda is 2.0
the regulation term lambda/alpha is 6.222407024198559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29958361240082876
the lambda is 2.0
the regulation term lambda/alpha is 6.675932585137849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33860505332701846
the lambda is 2.0
the regulation term lambda/alpha is 5.9065863912799825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29744402809942216
the lambda is 2.0
the regulation term lambda/alpha is 6.723954126022964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2631335390632276
the lambda is 2.0
the regulation term lambda/alpha is 7.600703456960026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28796238948804986
the lambda is 2.0
the regulation term lambda/alpha is 6.945351452165936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3885811181911776
the lambda is 2.0
the regulation term lambda/alpha is 5.146930476987362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32204383830861105
the lambda is 2.0
the regulation term lambda/alpha is 6.210334625571758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32202725949408284
the lambda is 2.0
the regulation term lambda/alpha is 6.21065435001396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35285654346938805
the lambda is 2.0
the regulation term lambda/alpha is 5.668025822435993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.279974437968743
the lambda is 2.0
the regulation term lambda/alpha is 7.143509295028158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36708022475884794
the lambda is 2.0
the regulation term lambda/alpha is 5.448400281747384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30690059128445196
the lambda is 2.0
the regulation term lambda/alpha is 6.516768154891864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3266317409185276
the lambda is 2.0
the regulation term lambda/alpha is 6.123103634618486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133541126394673
the lambda is 2.0
the regulation term lambda/alpha is 6.382555451892601
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3619197656386496
the lambda is 2.0
the regulation term lambda/alpha is 5.526086690708277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30540462760868703
the lambda is 2.0
the regulation term lambda/alpha is 6.548689244363995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2850955358739449
the lambda is 2.0
the regulation term lambda/alpha is 7.015192271843571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33276554251621865
the lambda is 2.0
the regulation term lambda/alpha is 6.010237673278693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29002795962106576
the lambda is 2.0
the regulation term lambda/alpha is 6.895886874538192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3559148279993394
the lambda is 2.0
the regulation term lambda/alpha is 5.619321935088673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30015357983988566
the lambda is 2.0
the regulation term lambda/alpha is 6.6632555276098415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2894156298612869
the lambda is 2.0
the regulation term lambda/alpha is 6.910476814809807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3140705659528302
the lambda is 2.0
the regulation term lambda/alpha is 6.367995657066371
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2686345323952803
the lambda is 2.0
the regulation term lambda/alpha is 7.445059211736467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243560403465239
the lambda is 2.0
the regulation term lambda/alpha is 6.166063680711208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3462453402384513
the lambda is 2.0
the regulation term lambda/alpha is 5.776251020801162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329022720690789
the lambda is 2.0
the regulation term lambda/alpha is 6.078607567893685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304373231839032
the lambda is 2.0
the regulation term lambda/alpha is 6.052585043145718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27501734675690453
the lambda is 2.0
the regulation term lambda/alpha is 7.272268544456054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2668472503962174
the lambda is 2.0
the regulation term lambda/alpha is 7.494924519665767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.282763819821543
the lambda is 2.0
the regulation term lambda/alpha is 7.073040678479423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3513585800733393
the lambda is 2.0
the regulation term lambda/alpha is 5.692190580866244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3113198792457437
the lambda is 2.0
the regulation term lambda/alpha is 6.424260490032114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31454455453065366
the lambda is 2.0
the regulation term lambda/alpha is 6.358399696298324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32023338888722147
the lambda is 2.0
the regulation term lambda/alpha is 6.24544494548116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3011465457621374
the lambda is 2.0
the regulation term lambda/alpha is 6.641284876565423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31992833903730256
the lambda is 2.0
the regulation term lambda/alpha is 6.251399941681337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3560741002972609
the lambda is 2.0
the regulation term lambda/alpha is 5.6168084068185316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3448005601687763
the lambda is 2.0
the regulation term lambda/alpha is 5.8004546135917545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2867563019132145
the lambda is 2.0
the regulation term lambda/alpha is 6.974563371950901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3187531846408164
the lambda is 2.0
the regulation term lambda/alpha is 6.274447115732125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32869521901493753
the lambda is 2.0
the regulation term lambda/alpha is 6.084664103097618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31064117907439615
the lambda is 2.0
the regulation term lambda/alpha is 6.4382964485240235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32478004704675717
the lambda is 2.0
the regulation term lambda/alpha is 6.158013764041572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35273878780329215
the lambda is 2.0
the regulation term lambda/alpha is 5.669917993581464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31478832058137285
the lambda is 2.0
the regulation term lambda/alpha is 6.353475873267031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32216677992126264
the lambda is 2.0
the regulation term lambda/alpha is 6.2079647084929075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.317893659690284
the lambda is 2.0
the regulation term lambda/alpha is 6.291412046243863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28071661165633677
the lambda is 2.0
the regulation term lambda/alpha is 7.12462290065139
660
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948930920684975
the lambda is 2.0
the regulation term lambda/alpha is 6.7821188552475205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3216246743152204
the lambda is 2.0
the regulation term lambda/alpha is 6.218428372320168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3609606018565919
the lambda is 2.0
the regulation term lambda/alpha is 5.540770903287089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2682744391490696
the lambda is 2.0
the regulation term lambda/alpha is 7.455052394643823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30032918536350683
the lambda is 2.0
the regulation term lambda/alpha is 6.659359454457539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28645377400861627
the lambda is 2.0
the regulation term lambda/alpha is 6.981929307518364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304913646020363
the lambda is 2.0
the regulation term lambda/alpha is 6.051595334142286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33009508936620213
the lambda is 2.0
the regulation term lambda/alpha is 6.058860202495265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3358350408677498
the lambda is 2.0
the regulation term lambda/alpha is 5.955304708026553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3576724959857817
the lambda is 2.0
the regulation term lambda/alpha is 5.59170756053746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3416804731108216
the lambda is 2.0
the regulation term lambda/alpha is 5.853422005041869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249103217427737
the lambda is 2.0
the regulation term lambda/alpha is 6.155544672364605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3002490194407073
the lambda is 2.0
the regulation term lambda/alpha is 6.661137490891812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31578901214166266
the lambda is 2.0
the regulation term lambda/alpha is 6.333342589839072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3214157125867664
the lambda is 2.0
the regulation term lambda/alpha is 6.222471153957972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31232590467064053
the lambda is 2.0
the regulation term lambda/alpha is 6.4035674597951635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32377280410317594
the lambda is 2.0
the regulation term lambda/alpha is 6.177171073833195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3453404624254488
the lambda is 2.0
the regulation term lambda/alpha is 5.7913862336121555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3101873862760668
the lambda is 2.0
the regulation term lambda/alpha is 6.447715440691711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2958798339854808
the lambda is 2.0
the regulation term lambda/alpha is 6.759500886086554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35655646441399
the lambda is 2.0
the regulation term lambda/alpha is 5.609209759489434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2819206967719849
the lambda is 2.0
the regulation term lambda/alpha is 7.0941935902548625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3233959977953959
the lambda is 2.0
the regulation term lambda/alpha is 6.184368432615382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32738459346112975
the lambda is 2.0
the regulation term lambda/alpha is 6.1090229654849635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36275520846203535
the lambda is 2.0
the regulation term lambda/alpha is 5.513359845277901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2943619455903473
the lambda is 2.0
the regulation term lambda/alpha is 6.7943565055223765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3435860627506894
the lambda is 2.0
the regulation term lambda/alpha is 5.820957881668286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32173891098823154
the lambda is 2.0
the regulation term lambda/alpha is 6.216220456073948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191446022252614
the lambda is 2.0
the regulation term lambda/alpha is 6.266751767239174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33126418967490184
the lambda is 2.0
the regulation term lambda/alpha is 6.0374772231274765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3372378068797632
the lambda is 2.0
the regulation term lambda/alpha is 5.93053317036031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3651907938827416
the lambda is 2.0
the regulation term lambda/alpha is 5.476589315781537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30239180976015145
the lambda is 2.0
the regulation term lambda/alpha is 6.613935746428923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29888811942143656
the lambda is 2.0
the regulation term lambda/alpha is 6.691467040815936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27053976584622
the lambda is 2.0
the regulation term lambda/alpha is 7.392628561439793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33668729547010795
the lambda is 2.0
the regulation term lambda/alpha is 5.940230079687001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3444804469798957
the lambda is 2.0
the regulation term lambda/alpha is 5.805844765745797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3066278413288329
the lambda is 2.0
the regulation term lambda/alpha is 6.522564915607797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208365525377574
the lambda is 2.0
the regulation term lambda/alpha is 6.233703685507067
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2827317519786028
the lambda is 2.0
the regulation term lambda/alpha is 7.0738429129507905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31179337816624014
the lambda is 2.0
the regulation term lambda/alpha is 6.41450441238573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32059783571519473
the lambda is 2.0
the regulation term lambda/alpha is 6.238345294934285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3185939710526768
the lambda is 2.0
the regulation term lambda/alpha is 6.277582696846818
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35744574918029526
the lambda is 2.0
the regulation term lambda/alpha is 5.595254677350218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.317912211646278
the lambda is 2.0
the regulation term lambda/alpha is 6.291044907155945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3711297081235371
the lambda is 2.0
the regulation term lambda/alpha is 5.388951507310389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33002728397434417
the lambda is 2.0
the regulation term lambda/alpha is 6.060105018939819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3331338556605416
the lambda is 2.0
the regulation term lambda/alpha is 6.003592748129359
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3560612645106958
the lambda is 2.0
the regulation term lambda/alpha is 5.61701088925926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3023227951900872
the lambda is 2.0
the regulation term lambda/alpha is 6.615445582733807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2739353698495665
the lambda is 2.0
the regulation term lambda/alpha is 7.3009922051990355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31491785547642687
the lambda is 2.0
the regulation term lambda/alpha is 6.350862503411496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3436107702496646
the lambda is 2.0
the regulation term lambda/alpha is 5.820539322870519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31773198774840955
the lambda is 2.0
the regulation term lambda/alpha is 6.294613312851788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35869435510451764
the lambda is 2.0
the regulation term lambda/alpha is 5.575777738172748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36469370565942644
the lambda is 2.0
the regulation term lambda/alpha is 5.484054067737938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32191602442800354
the lambda is 2.0
the regulation term lambda/alpha is 6.212800383434468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3017305500292929
the lambda is 2.0
the regulation term lambda/alpha is 6.628430564309229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31635653333562824
the lambda is 2.0
the regulation term lambda/alpha is 6.321981022210041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.331266897666693
the lambda is 2.0
the regulation term lambda/alpha is 6.037427868848873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29269685463291745
the lambda is 2.0
the regulation term lambda/alpha is 6.833008173279751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035059782672534
the lambda is 2.0
the regulation term lambda/alpha is 6.589656030560597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30049833999228887
the lambda is 2.0
the regulation term lambda/alpha is 6.655610809867776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27405707783912026
the lambda is 2.0
the regulation term lambda/alpha is 7.297749854773173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3069372525104589
the lambda is 2.0
the regulation term lambda/alpha is 6.515989778503181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3343779165824478
the lambda is 2.0
the regulation term lambda/alpha is 5.981256239769825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3775250426039064
the lambda is 2.0
the regulation term lambda/alpha is 5.297661808619064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31101209008803743
the lambda is 2.0
the regulation term lambda/alpha is 6.430618177685198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28132183059833965
the lambda is 2.0
the regulation term lambda/alpha is 7.109295413534835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3158507474639307
the lambda is 2.0
the regulation term lambda/alpha is 6.3321046920377935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2867241422546516
the lambda is 2.0
the regulation term lambda/alpha is 6.975345655489718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33936128480263045
the lambda is 2.0
the regulation term lambda/alpha is 5.893424175250817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32589706827862086
the lambda is 2.0
the regulation term lambda/alpha is 6.136907001231842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33853253288522
the lambda is 2.0
the regulation term lambda/alpha is 5.907851700262152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2966187999131092
the lambda is 2.0
the regulation term lambda/alpha is 6.742660952663402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31358184188587457
the lambda is 2.0
the regulation term lambda/alpha is 6.377920315704642
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3329423884298929
the lambda is 2.0
the regulation term lambda/alpha is 6.0070452712005356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31937329173249523
the lambda is 2.0
the regulation term lambda/alpha is 6.262264415257321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3100417845163943
the lambda is 2.0
the regulation term lambda/alpha is 6.450743415503224
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2987499860192989
the lambda is 2.0
the regulation term lambda/alpha is 6.694560982743618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.337154899394705
the lambda is 2.0
the regulation term lambda/alpha is 5.931991507733106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2716891857683322
the lambda is 2.0
the regulation term lambda/alpha is 7.361352989976527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3358105233510696
the lambda is 2.0
the regulation term lambda/alpha is 5.955739504652512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35688167637898094
the lambda is 2.0
the regulation term lambda/alpha is 5.604098311497936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3616396801935989
the lambda is 2.0
the regulation term lambda/alpha is 5.5303665762820255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.336749343870501
the lambda is 2.0
the regulation term lambda/alpha is 5.939135551127049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3263902206427256
the lambda is 2.0
the regulation term lambda/alpha is 6.127634572082498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35021238576329006
the lambda is 2.0
the regulation term lambda/alpha is 5.710820294493548
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32822249597344844
the lambda is 2.0
the regulation term lambda/alpha is 6.093427551540495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31879497301613036
the lambda is 2.0
the regulation term lambda/alpha is 6.273624646831568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3231774422656462
the lambda is 2.0
the regulation term lambda/alpha is 6.188550741595495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3047687777265187
the lambda is 2.0
the regulation term lambda/alpha is 6.562352006394436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2947061457290222
the lambda is 2.0
the regulation term lambda/alpha is 6.786421080743153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2883651744063618
the lambda is 2.0
the regulation term lambda/alpha is 6.935650270936034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3081414601615072
the lambda is 2.0
the regulation term lambda/alpha is 6.490525484469806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2796902491419954
the lambda is 2.0
the regulation term lambda/alpha is 7.150767701539083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2956171636773254
the lambda is 2.0
the regulation term lambda/alpha is 6.7655070332217155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3105892416026643
the lambda is 2.0
the regulation term lambda/alpha is 6.439373075769935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36761647859657925
the lambda is 2.0
the regulation term lambda/alpha is 5.440452527142537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2665669457285779
the lambda is 2.0
the regulation term lambda/alpha is 7.50280570058535
670
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3238994079272559
the lambda is 2.0
the regulation term lambda/alpha is 6.174756578898029
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3421222661808655
the lambda is 2.0
the regulation term lambda/alpha is 5.845863300059766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30947615596609457
the lambda is 2.0
the regulation term lambda/alpha is 6.46253341798363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37741003318631594
the lambda is 2.0
the regulation term lambda/alpha is 5.299276182762901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3268444967918202
the lambda is 2.0
the regulation term lambda/alpha is 6.119117866848701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143305455314244
the lambda is 2.0
the regulation term lambda/alpha is 6.362728753003277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.313302503757832
the lambda is 2.0
the regulation term lambda/alpha is 6.3836068209206065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35346942881125587
the lambda is 2.0
the regulation term lambda/alpha is 5.658197957108058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2824907092867887
the lambda is 2.0
the regulation term lambda/alpha is 7.079878857076219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948819667331049
the lambda is 2.0
the regulation term lambda/alpha is 6.7823747316843646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31150771165607455
the lambda is 2.0
the regulation term lambda/alpha is 6.420386799952274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280438972762309
the lambda is 2.0
the regulation term lambda/alpha is 6.096745028961446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27879897759645894
the lambda is 2.0
the regulation term lambda/alpha is 7.173627454598679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35235202345489924
the lambda is 2.0
the regulation term lambda/alpha is 5.676141661936556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2986828702847496
the lambda is 2.0
the regulation term lambda/alpha is 6.6960652885560465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27561989874073484
the lambda is 2.0
the regulation term lambda/alpha is 7.256370128345936
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2904130250551714
the lambda is 2.0
the regulation term lambda/alpha is 6.886743456565175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3483328815356126
the lambda is 2.0
the regulation term lambda/alpha is 5.741634241312719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.307042340011235
the lambda is 2.0
the regulation term lambda/alpha is 6.5137596330421985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35518661089102177
the lambda is 2.0
the regulation term lambda/alpha is 5.6308428827956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3017248860807479
the lambda is 2.0
the regulation term lambda/alpha is 6.628554992526398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3174599492100812
the lambda is 2.0
the regulation term lambda/alpha is 6.300007307934416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2985307630676599
the lambda is 2.0
the regulation term lambda/alpha is 6.699477063764829
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2817580449022453
the lambda is 2.0
the regulation term lambda/alpha is 7.098288890717889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27405289824641565
the lambda is 2.0
the regulation term lambda/alpha is 7.297861153074516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3409422914867364
the lambda is 2.0
the regulation term lambda/alpha is 5.866095377251859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32389216413270827
the lambda is 2.0
the regulation term lambda/alpha is 6.174894676305106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26760435548901673
the lambda is 2.0
the regulation term lambda/alpha is 7.473719911416337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3553646183297806
the lambda is 2.0
the regulation term lambda/alpha is 5.628022309592981
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31947076474355085
the lambda is 2.0
the regulation term lambda/alpha is 6.260353749756922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2998938167866809
the lambda is 2.0
the regulation term lambda/alpha is 6.669027129100933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132222481731051
the lambda is 2.0
the regulation term lambda/alpha is 6.385242464943556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3131658489060903
the lambda is 2.0
the regulation term lambda/alpha is 6.386392408323375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.348838816118838
the lambda is 2.0
the regulation term lambda/alpha is 5.73330692453292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32065895673296185
the lambda is 2.0
the regulation term lambda/alpha is 6.237156199773826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29836973653127763
the lambda is 2.0
the regulation term lambda/alpha is 6.703092690469106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3408012048402524
the lambda is 2.0
the regulation term lambda/alpha is 5.868523853774175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.280216907655963
the lambda is 2.0
the regulation term lambda/alpha is 7.137328067496572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114044676458637
the lambda is 2.0
the regulation term lambda/alpha is 6.4225154350529285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31113975498095725
the lambda is 2.0
the regulation term lambda/alpha is 6.427979607178152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34621029510425105
the lambda is 2.0
the regulation term lambda/alpha is 5.776835721761997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3483316500745314
the lambda is 2.0
the regulation term lambda/alpha is 5.74165453978146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2914928666976378
the lambda is 2.0
the regulation term lambda/alpha is 6.861231366167794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2925321289736112
the lambda is 2.0
the regulation term lambda/alpha is 6.83685585927697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36168735570367594
the lambda is 2.0
the regulation term lambda/alpha is 5.529637595732168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2875439025917329
the lambda is 2.0
the regulation term lambda/alpha is 6.955459607987881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3052875212053966
the lambda is 2.0
the regulation term lambda/alpha is 6.551201281019297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33138596385544056
the lambda is 2.0
the regulation term lambda/alpha is 6.035258635373143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31806688270525146
the lambda is 2.0
the regulation term lambda/alpha is 6.287985668263913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32293016411897024
the lambda is 2.0
the regulation term lambda/alpha is 6.193289516501106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189524800098883
the lambda is 2.0
the regulation term lambda/alpha is 6.270526568528313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2885382325553567
the lambda is 2.0
the regulation term lambda/alpha is 6.93149043815639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3512411265569942
the lambda is 2.0
the regulation term lambda/alpha is 5.694094024822204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3219832333457322
the lambda is 2.0
the regulation term lambda/alpha is 6.211503559418211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31808254030172617
the lambda is 2.0
the regulation term lambda/alpha is 6.287676142496987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2841311520277866
the lambda is 2.0
the regulation term lambda/alpha is 7.039002889075711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2943279381935564
the lambda is 2.0
the regulation term lambda/alpha is 6.7951415427126625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996054170577079
the lambda is 2.0
the regulation term lambda/alpha is 6.675446724699154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32719027281428953
the lambda is 2.0
the regulation term lambda/alpha is 6.112651157985932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38797411257501424
the lambda is 2.0
the regulation term lambda/alpha is 5.154983116594675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316055145860309
the lambda is 2.0
the regulation term lambda/alpha is 6.328009609069824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34795377226627244
the lambda is 2.0
the regulation term lambda/alpha is 5.74788997680271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3419798955933341
the lambda is 2.0
the regulation term lambda/alpha is 5.84829700743082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28627779282433735
the lambda is 2.0
the regulation term lambda/alpha is 6.986221251283777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34247097829265394
the lambda is 2.0
the regulation term lambda/alpha is 5.839910902730353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29393016574990416
the lambda is 2.0
the regulation term lambda/alpha is 6.804337332636135
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.306275232445135
the lambda is 2.0
the regulation term lambda/alpha is 6.530074221258725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28455552654896743
the lambda is 2.0
the regulation term lambda/alpha is 7.028505206894416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2785664118330591
the lambda is 2.0
the regulation term lambda/alpha is 7.179616475795982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32555957411332587
the lambda is 2.0
the regulation term lambda/alpha is 6.143268879273717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3137529535115401
the lambda is 2.0
the regulation term lambda/alpha is 6.374441985695725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34426671743890525
the lambda is 2.0
the regulation term lambda/alpha is 5.809449181955635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32498304889756674
the lambda is 2.0
the regulation term lambda/alpha is 6.15416713820785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30396864578981836
the lambda is 2.0
the regulation term lambda/alpha is 6.579625983473692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31523829762389227
the lambda is 2.0
the regulation term lambda/alpha is 6.3444068029645955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29022830829565743
the lambda is 2.0
the regulation term lambda/alpha is 6.89112654704443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3352412762272502
the lambda is 2.0
the regulation term lambda/alpha is 5.96585248244986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3152385565199381
the lambda is 2.0
the regulation term lambda/alpha is 6.344401592492081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2950877522657758
the lambda is 2.0
the regulation term lambda/alpha is 6.777644902722583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322311756307627
the lambda is 2.0
the regulation term lambda/alpha is 6.205172355212267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3009667217107991
the lambda is 2.0
the regulation term lambda/alpha is 6.6452529656146275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3897679105927451
the lambda is 2.0
the regulation term lambda/alpha is 5.131258745642943
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.376377099918689
the lambda is 2.0
the regulation term lambda/alpha is 5.313819571998594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3630664040220081
the lambda is 2.0
the regulation term lambda/alpha is 5.50863417227325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3108624861195322
the lambda is 2.0
the regulation term lambda/alpha is 6.433712941583321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3126908852834321
the lambda is 2.0
the regulation term lambda/alpha is 6.396093055885342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3400311714885378
the lambda is 2.0
the regulation term lambda/alpha is 5.881813691505688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3156682030146569
the lambda is 2.0
the regulation term lambda/alpha is 6.335766418346346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31682029477704293
the lambda is 2.0
the regulation term lambda/alpha is 6.312726908506499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3285980305877172
the lambda is 2.0
the regulation term lambda/alpha is 6.086463745454836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3067564757363195
the lambda is 2.0
the regulation term lambda/alpha is 6.519829761374466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30470875488503923
the lambda is 2.0
the regulation term lambda/alpha is 6.563644686725728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33393605492918355
the lambda is 2.0
the regulation term lambda/alpha is 5.989170592627777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3068596661665696
the lambda is 2.0
the regulation term lambda/alpha is 6.517637280209904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32715081413705926
the lambda is 2.0
the regulation term lambda/alpha is 6.113388423854277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36599048315343785
the lambda is 2.0
the regulation term lambda/alpha is 5.4646229671538205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3590657669476822
the lambda is 2.0
the regulation term lambda/alpha is 5.570010243531265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29690002294518447
the lambda is 2.0
the regulation term lambda/alpha is 6.73627431941712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.293062801967302
the lambda is 2.0
the regulation term lambda/alpha is 6.824475800320597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34677654004242686
the lambda is 2.0
the regulation term lambda/alpha is 5.767402834561148
680
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33692804835732626
the lambda is 2.0
the regulation term lambda/alpha is 5.935985471529864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27466706844554867
the lambda is 2.0
the regulation term lambda/alpha is 7.2815427467107865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35794150661799046
the lambda is 2.0
the regulation term lambda/alpha is 5.587505117517652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2989436826887791
the lambda is 2.0
the regulation term lambda/alpha is 6.690223329061405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37204459573076915
the lambda is 2.0
the regulation term lambda/alpha is 5.3756996417905345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34920683086975063
the lambda is 2.0
the regulation term lambda/alpha is 5.727264827605771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28365902773393054
the lambda is 2.0
the regulation term lambda/alpha is 7.050718660278216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28970869007916
the lambda is 2.0
the regulation term lambda/alpha is 6.903486393361276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33769083912059156
the lambda is 2.0
the regulation term lambda/alpha is 5.922577009220517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31735119138648565
the lambda is 2.0
the regulation term lambda/alpha is 6.302166351612347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32594353141419136
the lambda is 2.0
the regulation term lambda/alpha is 6.136032187300899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3320186188452253
the lambda is 2.0
the regulation term lambda/alpha is 6.02375856798659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33326911808364235
the lambda is 2.0
the regulation term lambda/alpha is 6.001156097211651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29413040645876093
the lambda is 2.0
the regulation term lambda/alpha is 6.799705015470455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3506704361349024
the lambda is 2.0
the regulation term lambda/alpha is 5.703360745331274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34425515362711473
the lambda is 2.0
the regulation term lambda/alpha is 5.80964432609869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3098454880438678
the lambda is 2.0
the regulation term lambda/alpha is 6.454830156238521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3172749839527781
the lambda is 2.0
the regulation term lambda/alpha is 6.303680091896788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32566505960856784
the lambda is 2.0
the regulation term lambda/alpha is 6.14127902576928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3706214792720278
the lambda is 2.0
the regulation term lambda/alpha is 5.396341312781942
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30079020977669685
the lambda is 2.0
the regulation term lambda/alpha is 6.649152582076314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33480500693572457
the lambda is 2.0
the regulation term lambda/alpha is 5.9736263155226865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3236654862098579
the lambda is 2.0
the regulation term lambda/alpha is 6.17921924089009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3343148558122889
the lambda is 2.0
the regulation term lambda/alpha is 5.982384465508047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31904737337440214
the lambda is 2.0
the regulation term lambda/alpha is 6.268661543415998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078383293460459
the lambda is 2.0
the regulation term lambda/alpha is 6.496916755781145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3314131689697095
the lambda is 2.0
the regulation term lambda/alpha is 6.034763211786542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3097812594378434
the lambda is 2.0
the regulation term lambda/alpha is 6.45616847071181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34626918941137014
the lambda is 2.0
the regulation term lambda/alpha is 5.775853183472199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056152257754112
the lambda is 2.0
the regulation term lambda/alpha is 6.544176570148205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29233090128366346
the lambda is 2.0
the regulation term lambda/alpha is 6.841562049094834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28342472018754816
the lambda is 2.0
the regulation term lambda/alpha is 7.056547497609092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36051319855421204
the lambda is 2.0
the regulation term lambda/alpha is 5.547647098693533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29742051515180884
the lambda is 2.0
the regulation term lambda/alpha is 6.724485696553796
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29696167281770813
the lambda is 2.0
the regulation term lambda/alpha is 6.734875854594586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3263283216606485
the lambda is 2.0
the regulation term lambda/alpha is 6.12879688107432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32496985894973063
the lambda is 2.0
the regulation term lambda/alpha is 6.154416924892036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948288556526603
the lambda is 2.0
the regulation term lambda/alpha is 6.783596522710153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3292476345638227
the lambda is 2.0
the regulation term lambda/alpha is 6.074455182189963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149095623314081
the lambda is 2.0
the regulation term lambda/alpha is 6.351029753409702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31378942292799555
the lambda is 2.0
the regulation term lambda/alpha is 6.37370113159912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34412301163851544
the lambda is 2.0
the regulation term lambda/alpha is 5.811875208452793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28589549125898994
the lambda is 2.0
the regulation term lambda/alpha is 6.995563278009934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3473616203745734
the lambda is 2.0
the regulation term lambda/alpha is 5.757688479928563
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.380587116079863
the lambda is 2.0
the regulation term lambda/alpha is 5.255038637672424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37332674585126613
the lambda is 2.0
the regulation term lambda/alpha is 5.357237385817523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31553235824132825
the lambda is 2.0
the regulation term lambda/alpha is 6.338494128295844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3107914138134381
the lambda is 2.0
the regulation term lambda/alpha is 6.435184213938935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32305379540253837
the lambda is 2.0
the regulation term lambda/alpha is 6.190919371518039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27203420982590126
the lambda is 2.0
the regulation term lambda/alpha is 7.352016502924308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3293898246044584
the lambda is 2.0
the regulation term lambda/alpha is 6.071832979059576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30909613848675616
the lambda is 2.0
the regulation term lambda/alpha is 6.470478763634551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39987850247196904
the lambda is 2.0
the regulation term lambda/alpha is 5.001519180542088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3041768057348149
the lambda is 2.0
the regulation term lambda/alpha is 6.575123291102033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36137086076652675
the lambda is 2.0
the regulation term lambda/alpha is 5.534480549310679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3210557240134783
the lambda is 2.0
the regulation term lambda/alpha is 6.229448193597811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3281674175035149
the lambda is 2.0
the regulation term lambda/alpha is 6.094450251078258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3201586526310209
the lambda is 2.0
the regulation term lambda/alpha is 6.246902851334075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.361831159307132
the lambda is 2.0
the regulation term lambda/alpha is 5.52743993588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2796600561735735
the lambda is 2.0
the regulation term lambda/alpha is 7.151539720633834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148140945077088
the lambda is 2.0
the regulation term lambda/alpha is 6.352955712251398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34830332482488685
the lambda is 2.0
the regulation term lambda/alpha is 5.742121471293795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160531680143666
the lambda is 2.0
the regulation term lambda/alpha is 6.328049209457971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3700650472357752
the lambda is 2.0
the regulation term lambda/alpha is 5.404455284115939
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077295877821017
the lambda is 2.0
the regulation term lambda/alpha is 6.499212553510349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2965379575472255
the lambda is 2.0
the regulation term lambda/alpha is 6.744499141164711
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3334699782445263
the lambda is 2.0
the regulation term lambda/alpha is 5.997541399464282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2963860769392043
the lambda is 2.0
the regulation term lambda/alpha is 6.747955304291323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29971148262901987
the lambda is 2.0
the regulation term lambda/alpha is 6.6730843358296745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30421394947736646
the lambda is 2.0
the regulation term lambda/alpha is 6.574320485421397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2643891691849025
the lambda is 2.0
the regulation term lambda/alpha is 7.5646063950573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3359643096143357
the lambda is 2.0
the regulation term lambda/alpha is 5.953013289702899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28623283301727437
the lambda is 2.0
the regulation term lambda/alpha is 6.9873186067347435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33414432088898866
the lambda is 2.0
the regulation term lambda/alpha is 5.985437653643234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32647244558365685
the lambda is 2.0
the regulation term lambda/alpha is 6.126091273719792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.376128669107236
the lambda is 2.0
the regulation term lambda/alpha is 5.317329319105401
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3441905580710627
the lambda is 2.0
the regulation term lambda/alpha is 5.810734644228892
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31683394976558055
the lambda is 2.0
the regulation term lambda/alpha is 6.312454841028754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3318702234975635
the lambda is 2.0
the regulation term lambda/alpha is 6.026452083956497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31235755134755067
the lambda is 2.0
the regulation term lambda/alpha is 6.402918678840139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3202092009168377
the lambda is 2.0
the regulation term lambda/alpha is 6.245916714052901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3393175236716002
the lambda is 2.0
the regulation term lambda/alpha is 5.894184238877238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33009918959249107
the lambda is 2.0
the regulation term lambda/alpha is 6.05878494421331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32873853530982666
the lambda is 2.0
the regulation term lambda/alpha is 6.083862356188504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.280388301661739
the lambda is 2.0
the regulation term lambda/alpha is 7.132965206275988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3224780475363719
the lambda is 2.0
the regulation term lambda/alpha is 6.201972553726847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28833244937944985
the lambda is 2.0
the regulation term lambda/alpha is 6.936437450257185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.296691700786383
the lambda is 2.0
the regulation term lambda/alpha is 6.741004196271715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.321311793515634
the lambda is 2.0
the regulation term lambda/alpha is 6.2244836335354945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2991175244485412
the lambda is 2.0
the regulation term lambda/alpha is 6.686335090821704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3250241810862506
the lambda is 2.0
the regulation term lambda/alpha is 6.15338832118853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30403082516415847
the lambda is 2.0
the regulation term lambda/alpha is 6.5782803402257635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33367940303936544
the lambda is 2.0
the regulation term lambda/alpha is 5.993777205853045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3030612742313681
the lambda is 2.0
the regulation term lambda/alpha is 6.599325516176398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30658612062420165
the lambda is 2.0
the regulation term lambda/alpha is 6.523452516141468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31009097662821083
the lambda is 2.0
the regulation term lambda/alpha is 6.449720084560655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3419050514341179
the lambda is 2.0
the regulation term lambda/alpha is 5.84957721920462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33311136696422766
the lambda is 2.0
the regulation term lambda/alpha is 6.003998056946454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2683069319522861
the lambda is 2.0
the regulation term lambda/alpha is 7.454149564632443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2942803049290386
the lambda is 2.0
the regulation term lambda/alpha is 6.796241428668734
690
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3406310009005043
the lambda is 2.0
the regulation term lambda/alpha is 5.871456193689736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3312618378269483
the lambda is 2.0
the regulation term lambda/alpha is 6.037520087190977
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34301527846570573
the lambda is 2.0
the regulation term lambda/alpha is 5.830644072024791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3062778668089047
the lambda is 2.0
the regulation term lambda/alpha is 6.530018054644007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3334474604693614
the lambda is 2.0
the regulation term lambda/alpha is 5.997946414660935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34267927173546137
the lambda is 2.0
the regulation term lambda/alpha is 5.836361183654969
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033117355246411
the lambda is 2.0
the regulation term lambda/alpha is 6.593876087717416
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33785741019004306
the lambda is 2.0
the regulation term lambda/alpha is 5.91965704962638
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3039826413680996
the lambda is 2.0
the regulation term lambda/alpha is 6.579323052786274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38066715858864725
the lambda is 2.0
the regulation term lambda/alpha is 5.2539336658700835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.323287775094472
the lambda is 2.0
the regulation term lambda/alpha is 6.186438690468747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30190783704956914
the lambda is 2.0
the regulation term lambda/alpha is 6.624538201940175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3175740630694985
the lambda is 2.0
the regulation term lambda/alpha is 6.297743526877119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30044443443366964
the lambda is 2.0
the regulation term lambda/alpha is 6.656804955531797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31911670466566294
the lambda is 2.0
the regulation term lambda/alpha is 6.26729961408755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31637470664492234
the lambda is 2.0
the regulation term lambda/alpha is 6.321617872710239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31395930434192
the lambda is 2.0
the regulation term lambda/alpha is 6.370252361821656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29924016132767606
the lambda is 2.0
the regulation term lambda/alpha is 6.683594846114075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32164224786047757
the lambda is 2.0
the regulation term lambda/alpha is 6.218088616479148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36491871785404734
the lambda is 2.0
the regulation term lambda/alpha is 5.480672550208616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3002441787416477
the lambda is 2.0
the regulation term lambda/alpha is 6.661244885353623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31109080516572585
the lambda is 2.0
the regulation term lambda/alpha is 6.428991043096082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2837478217515177
the lambda is 2.0
the regulation term lambda/alpha is 7.048512258717639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3429129787246231
the lambda is 2.0
the regulation term lambda/alpha is 5.8323835027722986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34733962424363984
the lambda is 2.0
the regulation term lambda/alpha is 5.75805309962882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316434850834752
the lambda is 2.0
the regulation term lambda/alpha is 6.320416334433517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3692624589151486
the lambda is 2.0
the regulation term lambda/alpha is 5.416201814491986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29707290994287566
the lambda is 2.0
the regulation term lambda/alpha is 6.732354021726792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27510028608063475
the lambda is 2.0
the regulation term lambda/alpha is 7.270076045699855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2954837355770872
the lambda is 2.0
the regulation term lambda/alpha is 6.768562053318941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3147625617385652
the lambda is 2.0
the regulation term lambda/alpha is 6.353995814982455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28971739623529896
the lambda is 2.0
the regulation term lambda/alpha is 6.903278940059455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34125793831748147
the lambda is 2.0
the regulation term lambda/alpha is 5.860669527163778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28739256623698745
the lambda is 2.0
the regulation term lambda/alpha is 6.959122242399184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32103924307227644
the lambda is 2.0
the regulation term lambda/alpha is 6.22976798992058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3225814566394008
the lambda is 2.0
the regulation term lambda/alpha is 6.199984403429951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3172023908249709
the lambda is 2.0
the regulation term lambda/alpha is 6.305122716125995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3205944629192567
the lambda is 2.0
the regulation term lambda/alpha is 6.238410925093581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3310819709264325
the lambda is 2.0
the regulation term lambda/alpha is 6.0408000906953845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38436314550882444
the lambda is 2.0
the regulation term lambda/alpha is 5.203412510719196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33265772850722936
the lambda is 2.0
the regulation term lambda/alpha is 6.01218558478955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3021904802867219
the lambda is 2.0
the regulation term lambda/alpha is 6.618342173129929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33662954693053304
the lambda is 2.0
the regulation term lambda/alpha is 5.941249121583259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.328211386137992
the lambda is 2.0
the regulation term lambda/alpha is 6.09363381183591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3154706279267454
the lambda is 2.0
the regulation term lambda/alpha is 6.339734425178926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3727430354857412
the lambda is 2.0
the regulation term lambda/alpha is 5.365626744423793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34742907436979675
the lambda is 2.0
the regulation term lambda/alpha is 5.756570614096732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3084924370014401
the lambda is 2.0
the regulation term lambda/alpha is 6.483141108547383
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28658290703952094
the lambda is 2.0
the regulation term lambda/alpha is 6.97878328006559
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31651973966181574
the lambda is 2.0
the regulation term lambda/alpha is 6.3187212340591845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2967518650473139
the lambda is 2.0
the regulation term lambda/alpha is 6.739637507185074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34447426815875154
the lambda is 2.0
the regulation term lambda/alpha is 5.805948904950708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3337643934296222
the lambda is 2.0
the regulation term lambda/alpha is 5.992250939199485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3593296949509533
the lambda is 2.0
the regulation term lambda/alpha is 5.565919065700902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804423585144192
the lambda is 2.0
the regulation term lambda/alpha is 7.13159028684024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35032325729777936
the lambda is 2.0
the regulation term lambda/alpha is 5.7090129140354895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3044290894310717
the lambda is 2.0
the regulation term lambda/alpha is 6.5696744149439645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3457641984264158
the lambda is 2.0
the regulation term lambda/alpha is 5.784288856689228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34293127223703423
the lambda is 2.0
the regulation term lambda/alpha is 5.8320723769327145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3004656994561469
the lambda is 2.0
the regulation term lambda/alpha is 6.656333829851687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3756681891838723
the lambda is 2.0
the regulation term lambda/alpha is 5.323847101201034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2998928912853294
the lambda is 2.0
the regulation term lambda/alpha is 6.669047710427802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28849085546134345
the lambda is 2.0
the regulation term lambda/alpha is 6.932628754563735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2841742442000811
the lambda is 2.0
the regulation term lambda/alpha is 7.03793549492769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3039561425879344
the lambda is 2.0
the regulation term lambda/alpha is 6.57989663565164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.326097543378767
the lambda is 2.0
the regulation term lambda/alpha is 6.133134212780534
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3135137153096292
the lambda is 2.0
the regulation term lambda/alpha is 6.379306238723179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3097568356506683
the lambda is 2.0
the regulation term lambda/alpha is 6.456677528354926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38004055045790974
the lambda is 2.0
the regulation term lambda/alpha is 5.262596313972827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3331315680428747
the lambda is 2.0
the regulation term lambda/alpha is 6.003633974858234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2869380915549536
the lambda is 2.0
the regulation term lambda/alpha is 6.97014463699033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30021699002695645
the lambda is 2.0
the regulation term lambda/alpha is 6.661848151300232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30604953888841113
the lambda is 2.0
the regulation term lambda/alpha is 6.5348897674020705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29006145559535473
the lambda is 2.0
the regulation term lambda/alpha is 6.89509054519145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3012984320366036
the lambda is 2.0
the regulation term lambda/alpha is 6.637936966618623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3480009245606493
the lambda is 2.0
the regulation term lambda/alpha is 5.747111167951629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33674270952063173
the lambda is 2.0
the regulation term lambda/alpha is 5.939252561242051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31513796218922885
the lambda is 2.0
the regulation term lambda/alpha is 6.3464267716469935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27015227856374996
the lambda is 2.0
the regulation term lambda/alpha is 7.4032320239269955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33877252548564757
the lambda is 2.0
the regulation term lambda/alpha is 5.903666470983438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31086444133960933
the lambda is 2.0
the regulation term lambda/alpha is 6.433672475955733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077981695235056
the lambda is 2.0
the regulation term lambda/alpha is 6.49776443796319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3308795665670532
the lambda is 2.0
the regulation term lambda/alpha is 6.044495345392376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31896197475953975
the lambda is 2.0
the regulation term lambda/alpha is 6.2703399096640515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27301502441278375
the lambda is 2.0
the regulation term lambda/alpha is 7.325604165198285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32854395365481776
the lambda is 2.0
the regulation term lambda/alpha is 6.087465551416859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33067216767471386
the lambda is 2.0
the regulation term lambda/alpha is 6.048286476796632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30881357927394154
the lambda is 2.0
the regulation term lambda/alpha is 6.476399142493165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2912822597737737
the lambda is 2.0
the regulation term lambda/alpha is 6.866192268466034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3179902006723086
the lambda is 2.0
the regulation term lambda/alpha is 6.289501990223327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3137266735969431
the lambda is 2.0
the regulation term lambda/alpha is 6.3749759530153245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2955126425977583
the lambda is 2.0
the regulation term lambda/alpha is 6.767899953175038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30208766520080116
the lambda is 2.0
the regulation term lambda/alpha is 6.620594716009265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3559456733297765
the lambda is 2.0
the regulation term lambda/alpha is 5.618834979199312
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3426448993439747
the lambda is 2.0
the regulation term lambda/alpha is 5.836946657689009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34272443022550164
the lambda is 2.0
the regulation term lambda/alpha is 5.8355921656476735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32271467316108876
the lambda is 2.0
the regulation term lambda/alpha is 6.197425051700901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29808700903533875
the lambda is 2.0
the regulation term lambda/alpha is 6.70945039326721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3120114496800904
the lambda is 2.0
the regulation term lambda/alpha is 6.410021177269703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2964158174957015
the lambda is 2.0
the regulation term lambda/alpha is 6.74727825558433
700
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.313521378269531
the lambda is 2.0
the regulation term lambda/alpha is 6.379150318357624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087010194700221
the lambda is 2.0
the regulation term lambda/alpha is 6.478760593125348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33127760580266974
the lambda is 2.0
the regulation term lambda/alpha is 6.037232716513077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30850672204579305
the lambda is 2.0
the regulation term lambda/alpha is 6.482840914251233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089044580788917
the lambda is 2.0
the regulation term lambda/alpha is 6.474493804453984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32508830088812507
the lambda is 2.0
the regulation term lambda/alpha is 6.1521746385092895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3659673915286306
the lambda is 2.0
the regulation term lambda/alpha is 5.464967771161477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31965111832355186
the lambda is 2.0
the regulation term lambda/alpha is 6.256821532454624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2521831850377923
the lambda is 2.0
the regulation term lambda/alpha is 7.930742883195321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3220357297167761
the lambda is 2.0
the regulation term lambda/alpha is 6.210490996632453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.370093353958802
the lambda is 2.0
the regulation term lambda/alpha is 5.404041922413542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3465788457414812
the lambda is 2.0
the regulation term lambda/alpha is 5.770692656446299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32826177034542725
the lambda is 2.0
the regulation term lambda/alpha is 6.0926985128223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050825870909106
the lambda is 2.0
the regulation term lambda/alpha is 6.555601940677219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29139688308260536
the lambda is 2.0
the regulation term lambda/alpha is 6.863491396484974
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32662612718026435
the lambda is 2.0
the regulation term lambda/alpha is 6.123208872682141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31647798931327165
the lambda is 2.0
the regulation term lambda/alpha is 6.319554811188663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29695011276201727
the lambda is 2.0
the regulation term lambda/alpha is 6.735138038498899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087258952995122
the lambda is 2.0
the regulation term lambda/alpha is 6.478238561944045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36712223844527647
the lambda is 2.0
the regulation term lambda/alpha is 5.44777676359184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2578544709836987
the lambda is 2.0
the regulation term lambda/alpha is 7.7563130566250225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33649228083012206
the lambda is 2.0
the regulation term lambda/alpha is 5.943672749538344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3020538191804611
the lambda is 2.0
the regulation term lambda/alpha is 6.621336573152569
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3085734729018881
the lambda is 2.0
the regulation term lambda/alpha is 6.481438541011289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30523417748888676
the lambda is 2.0
the regulation term lambda/alpha is 6.552346190238863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025170917208441
the lambda is 2.0
the regulation term lambda/alpha is 6.61119670502966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2972196667986588
the lambda is 2.0
the regulation term lambda/alpha is 6.729029816707355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948327632362185
the lambda is 2.0
the regulation term lambda/alpha is 6.783506615910289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2741410502563107
the lambda is 2.0
the regulation term lambda/alpha is 7.295514473772102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3527630111179584
the lambda is 2.0
the regulation term lambda/alpha is 5.6695286551209065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3327903316233034
the lambda is 2.0
the regulation term lambda/alpha is 6.009789978706074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2800886898155979
the lambda is 2.0
the regulation term lambda/alpha is 7.140595363978248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30994050679072643
the lambda is 2.0
the regulation term lambda/alpha is 6.452851293007697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3486831682953347
the lambda is 2.0
the regulation term lambda/alpha is 5.7358662013361075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31053849772304293
the lambda is 2.0
the regulation term lambda/alpha is 6.440425308503042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3363692590427179
the lambda is 2.0
the regulation term lambda/alpha is 5.945846554741216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29502092281767833
the lambda is 2.0
the regulation term lambda/alpha is 6.779180204910387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2975110579433847
the lambda is 2.0
the regulation term lambda/alpha is 6.722439205539018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31519534387165865
the lambda is 2.0
the regulation term lambda/alpha is 6.345271397201732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010344892709818
the lambda is 2.0
the regulation term lambda/alpha is 6.643757015494868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30153153841379016
the lambda is 2.0
the regulation term lambda/alpha is 6.632805346070999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34590399122354665
the lambda is 2.0
the regulation term lambda/alpha is 5.781951208268841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31103070754623646
the lambda is 2.0
the regulation term lambda/alpha is 6.430233258247303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3063916909132382
the lambda is 2.0
the regulation term lambda/alpha is 6.527592161650185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2809542834956618
the lambda is 2.0
the regulation term lambda/alpha is 7.118595862343852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31498184869422036
the lambda is 2.0
the regulation term lambda/alpha is 6.349572231832222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26001729160848885
the lambda is 2.0
the regulation term lambda/alpha is 7.6917961402791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3452295126339333
the lambda is 2.0
the regulation term lambda/alpha is 5.793247468158132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29122175394465577
the lambda is 2.0
the regulation term lambda/alpha is 6.867618826236734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2985195296709448
the lambda is 2.0
the regulation term lambda/alpha is 6.699729167483885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34480021391473026
the lambda is 2.0
the regulation term lambda/alpha is 5.800460438503683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33990950311067236
the lambda is 2.0
the regulation term lambda/alpha is 5.883919048149744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2947090314587274
the lambda is 2.0
the regulation term lambda/alpha is 6.786354629515623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35172526745629834
the lambda is 2.0
the regulation term lambda/alpha is 5.686256248986999
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34737219467189384
the lambda is 2.0
the regulation term lambda/alpha is 5.757513211122369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3350875108711933
the lambda is 2.0
the regulation term lambda/alpha is 5.968590099941965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3123835888871464
the lambda is 2.0
the regulation term lambda/alpha is 6.402384988036398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29887223456977396
the lambda is 2.0
the regulation term lambda/alpha is 6.691822687641079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3504148873036955
the lambda is 2.0
the regulation term lambda/alpha is 5.70752006397106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2776840432415936
the lambda is 2.0
the regulation term lambda/alpha is 7.202430419309109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33263577120864773
the lambda is 2.0
the regulation term lambda/alpha is 6.012582449364679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2948193813272274
the lambda is 2.0
the regulation term lambda/alpha is 6.783814520593373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114064627681563
the lambda is 2.0
the regulation term lambda/alpha is 6.422474287211599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32586874903416874
the lambda is 2.0
the regulation term lambda/alpha is 6.137440321993845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.297079452686561
the lambda is 2.0
the regulation term lambda/alpha is 6.732205751402591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3162083044869791
the lambda is 2.0
the regulation term lambda/alpha is 6.324944574889735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32079717411801933
the lambda is 2.0
the regulation term lambda/alpha is 6.23446888364488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3582378728980889
the lambda is 2.0
the regulation term lambda/alpha is 5.5828826355524885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27634368738737747
the lambda is 2.0
the regulation term lambda/alpha is 7.237364525705297
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30790601128084677
the lambda is 2.0
the regulation term lambda/alpha is 6.4954886449935625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.281169281613178
the lambda is 2.0
the regulation term lambda/alpha is 7.113152576715418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3627140673199767
the lambda is 2.0
the regulation term lambda/alpha is 5.513985202662827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3217762365061921
the lambda is 2.0
the regulation term lambda/alpha is 6.215499384652394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31589082720531664
the lambda is 2.0
the regulation term lambda/alpha is 6.331301284351883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3154215149678245
the lambda is 2.0
the regulation term lambda/alpha is 6.340721558591258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3628538544631995
the lambda is 2.0
the regulation term lambda/alpha is 5.511860974878632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3093481873669531
the lambda is 2.0
the regulation term lambda/alpha is 6.465206785348228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31773071209724435
the lambda is 2.0
the regulation term lambda/alpha is 6.294638584978471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3382845606763039
the lambda is 2.0
the regulation term lambda/alpha is 5.9121823236672935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29627715136187893
the lambda is 2.0
the regulation term lambda/alpha is 6.750436173720192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3953290377124638
the lambda is 2.0
the regulation term lambda/alpha is 5.059076893447599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30933457331078057
the lambda is 2.0
the regulation term lambda/alpha is 6.465491324148403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33833011041173433
the lambda is 2.0
the regulation term lambda/alpha is 5.911386360398367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2867548854906023
the lambda is 2.0
the regulation term lambda/alpha is 6.974597822730191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3080878293099981
the lambda is 2.0
the regulation term lambda/alpha is 6.49165533243963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168369365859371
the lambda is 2.0
the regulation term lambda/alpha is 6.31239533354575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3251870973817377
the lambda is 2.0
the regulation term lambda/alpha is 6.150305519816478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32746622448488316
the lambda is 2.0
the regulation term lambda/alpha is 6.107500103701003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30351387193079954
the lambda is 2.0
the regulation term lambda/alpha is 6.58948464950556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3384941131981572
the lambda is 2.0
the regulation term lambda/alpha is 5.90852225199315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3632361078525805
the lambda is 2.0
the regulation term lambda/alpha is 5.506060539586281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33457508344898984
the lambda is 2.0
the regulation term lambda/alpha is 5.977731453827539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3217951049088051
the lambda is 2.0
the regulation term lambda/alpha is 6.215134939876692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33383447936173777
the lambda is 2.0
the regulation term lambda/alpha is 5.990992913086223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37560525967805397
the lambda is 2.0
the regulation term lambda/alpha is 5.324739067057471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3198381726326242
the lambda is 2.0
the regulation term lambda/alpha is 6.253162289972375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28043633967295445
the lambda is 2.0
the regulation term lambda/alpha is 7.131743347999781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32957650240591607
the lambda is 2.0
the regulation term lambda/alpha is 6.0683937883919326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3174611871926165
the lambda is 2.0
the regulation term lambda/alpha is 6.299982740209812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031042940228643
the lambda is 2.0
the regulation term lambda/alpha is 6.598388869572175
710
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33049006920597096
the lambda is 2.0
the regulation term lambda/alpha is 6.051619054107015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27545067395436046
the lambda is 2.0
the regulation term lambda/alpha is 7.260828123191962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3488164888536586
the lambda is 2.0
the regulation term lambda/alpha is 5.73367390564806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30874743719985764
the lambda is 2.0
the regulation term lambda/alpha is 6.4777865628253455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050608631152418
the lambda is 2.0
the regulation term lambda/alpha is 6.556068777804732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050919524027987
the lambda is 2.0
the regulation term lambda/alpha is 6.555400705422388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3286006990458815
the lambda is 2.0
the regulation term lambda/alpha is 6.086414319285262
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34268838278521474
the lambda is 2.0
the regulation term lambda/alpha is 5.83620601242713
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3122182257197895
the lambda is 2.0
the regulation term lambda/alpha is 6.405775945299765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2910270849359753
the lambda is 2.0
the regulation term lambda/alpha is 6.872212599868467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35073686163772233
the lambda is 2.0
the regulation term lambda/alpha is 5.702280594806168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31081668728194606
the lambda is 2.0
the regulation term lambda/alpha is 6.434660949158668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38495362106852465
the lambda is 2.0
the regulation term lambda/alpha is 5.195431061145896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34545986298156967
the lambda is 2.0
the regulation term lambda/alpha is 5.789384569132132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34878218582863385
the lambda is 2.0
the regulation term lambda/alpha is 5.734237817359899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3420024550840144
the lambda is 2.0
the regulation term lambda/alpha is 5.847911236510543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34297817421512816
the lambda is 2.0
the regulation term lambda/alpha is 5.831274845919287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28623924354718183
the lambda is 2.0
the regulation term lambda/alpha is 6.987162120802394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2950905022301103
the lambda is 2.0
the regulation term lambda/alpha is 6.777581741483528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30870961678119424
the lambda is 2.0
the regulation term lambda/alpha is 6.478580164924213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3252489965328757
the lambda is 2.0
the regulation term lambda/alpha is 6.149135035987245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2695431055972905
the lambda is 2.0
the regulation term lambda/alpha is 7.419963480676407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3201979935613057
the lambda is 2.0
the regulation term lambda/alpha is 6.246135329442895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30152927424638587
the lambda is 2.0
the regulation term lambda/alpha is 6.6328551514562335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.297216766148726
the lambda is 2.0
the regulation term lambda/alpha is 6.729095487833982
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3543327158018841
the lambda is 2.0
the regulation term lambda/alpha is 5.64441247112572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34001330836146065
the lambda is 2.0
the regulation term lambda/alpha is 5.882122701720381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2850253613602318
the lambda is 2.0
the regulation term lambda/alpha is 7.016919443432553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35773620572935744
the lambda is 2.0
the regulation term lambda/alpha is 5.5907117254804355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32911322258726494
the lambda is 2.0
the regulation term lambda/alpha is 6.076936029118966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3116053446313289
the lambda is 2.0
the regulation term lambda/alpha is 6.418375148110086
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26450651744176334
the lambda is 2.0
the regulation term lambda/alpha is 7.561250359134693
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3075913579347678
the lambda is 2.0
the regulation term lambda/alpha is 6.502133263523446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3103871341283919
the lambda is 2.0
the regulation term lambda/alpha is 6.443566050558971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3081743312998735
the lambda is 2.0
the regulation term lambda/alpha is 6.48983317839626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33100657692414626
the lambda is 2.0
the regulation term lambda/alpha is 6.042176015307157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31314367885100114
the lambda is 2.0
the regulation term lambda/alpha is 6.386844554354337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32741971925505486
the lambda is 2.0
the regulation term lambda/alpha is 6.108367585649388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3237154329670868
the lambda is 2.0
the regulation term lambda/alpha is 6.178265835732788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30578635226885853
the lambda is 2.0
the regulation term lambda/alpha is 6.540514268084558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2512594727063555
the lambda is 2.0
the regulation term lambda/alpha is 7.959898898368621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30038642038759716
the lambda is 2.0
the regulation term lambda/alpha is 6.658090593507333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3117181678414046
the lambda is 2.0
the regulation term lambda/alpha is 6.416052082718375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3388065348829208
the lambda is 2.0
the regulation term lambda/alpha is 5.9030738609901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29453023387289284
the lambda is 2.0
the regulation term lambda/alpha is 6.7904743553869515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30560000825177475
the lambda is 2.0
the regulation term lambda/alpha is 6.544502441087173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3625062086908876
the lambda is 2.0
the regulation term lambda/alpha is 5.517146884801133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3553269096187135
the lambda is 2.0
the regulation term lambda/alpha is 5.62861957780264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2878984963295279
the lambda is 2.0
the regulation term lambda/alpha is 6.946892830280033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2943886379253026
the lambda is 2.0
the regulation term lambda/alpha is 6.7937404585141445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3326020100539553
the lambda is 2.0
the regulation term lambda/alpha is 6.013192763554124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30440726204266005
the lambda is 2.0
the regulation term lambda/alpha is 6.570145490549162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35631329545819923
the lambda is 2.0
the regulation term lambda/alpha is 5.613037811087319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27416746871040887
the lambda is 2.0
the regulation term lambda/alpha is 7.294811486597313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2795017658809406
the lambda is 2.0
the regulation term lambda/alpha is 7.1555898535966325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30290272114905464
the lambda is 2.0
the regulation term lambda/alpha is 6.602779903769253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3505161480320546
the lambda is 2.0
the regulation term lambda/alpha is 5.705871216572597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31057244436127845
the lambda is 2.0
the regulation term lambda/alpha is 6.439721347826556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2846844572031239
the lambda is 2.0
the regulation term lambda/alpha is 7.025322069385014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3358796986136295
the lambda is 2.0
the regulation term lambda/alpha is 5.954512905231132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3582293334638255
the lambda is 2.0
the regulation term lambda/alpha is 5.5830157197385475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27091528084300615
the lambda is 2.0
the regulation term lambda/alpha is 7.382381657382362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3789643100186348
the lambda is 2.0
the regulation term lambda/alpha is 5.277541834748645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38597131758769904
the lambda is 2.0
the regulation term lambda/alpha is 5.181732188028628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33136953669425123
the lambda is 2.0
the regulation term lambda/alpha is 6.0355578245122885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3267583642848681
the lambda is 2.0
the regulation term lambda/alpha is 6.12073084763149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30483688688250404
the lambda is 2.0
the regulation term lambda/alpha is 6.560885791918212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996713943434873
the lambda is 2.0
the regulation term lambda/alpha is 6.673977022002887
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34759743756529404
the lambda is 2.0
the regulation term lambda/alpha is 5.7537823466385944
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34219857563248113
the lambda is 2.0
the regulation term lambda/alpha is 5.844559686735768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3099075705901565
the lambda is 2.0
the regulation term lambda/alpha is 6.453537085884682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33587823432714564
the lambda is 2.0
the regulation term lambda/alpha is 5.954538864379043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3052087269509802
the lambda is 2.0
the regulation term lambda/alpha is 6.552892572830073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.271340854869057
the lambda is 2.0
the regulation term lambda/alpha is 7.370803047573337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29942613040360777
the lambda is 2.0
the regulation term lambda/alpha is 6.679443765659745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33909663949130703
the lambda is 2.0
the regulation term lambda/alpha is 5.898023651901367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.300260098707508
the lambda is 2.0
the regulation term lambda/alpha is 6.660891702257972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3310281247070362
the lambda is 2.0
the regulation term lambda/alpha is 6.041782708856004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31193195252554
the lambda is 2.0
the regulation term lambda/alpha is 6.411654797808013
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29580638621447625
the lambda is 2.0
the regulation term lambda/alpha is 6.761179248340797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3159095646153516
the lambda is 2.0
the regulation term lambda/alpha is 6.330925758563786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34175256719581293
the lambda is 2.0
the regulation term lambda/alpha is 5.8521872020176104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2938351350220953
the lambda is 2.0
the regulation term lambda/alpha is 6.806537958265636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34351481871649875
the lambda is 2.0
the regulation term lambda/alpha is 5.82216513241774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2943454824923489
the lambda is 2.0
the regulation term lambda/alpha is 6.7947365220799245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33929679558226855
the lambda is 2.0
the regulation term lambda/alpha is 5.894544322376497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3590956685500693
the lambda is 2.0
the regulation term lambda/alpha is 5.569546433337546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3048266590532871
the lambda is 2.0
the regulation term lambda/alpha is 6.561105928895732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3583208543256784
the lambda is 2.0
the regulation term lambda/alpha is 5.581589728467763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3040436972159404
the lambda is 2.0
the regulation term lambda/alpha is 6.578001840898362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32605135660129225
the lambda is 2.0
the regulation term lambda/alpha is 6.134003001391203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3487296376251769
the lambda is 2.0
the regulation term lambda/alpha is 5.735101878979522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35087694517076734
the lambda is 2.0
the regulation term lambda/alpha is 5.700004025703728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29340308067013254
the lambda is 2.0
the regulation term lambda/alpha is 6.816561010307051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.353016876280603
the lambda is 2.0
the regulation term lambda/alpha is 5.665451524788455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3069943541154783
the lambda is 2.0
the regulation term lambda/alpha is 6.5147777904986635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3409722393563753
the lambda is 2.0
the regulation term lambda/alpha is 5.865580153314629
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33014328204871907
the lambda is 2.0
the regulation term lambda/alpha is 6.057975760066689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3085101290293234
the lambda is 2.0
the regulation term lambda/alpha is 6.482769322007911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37097043393465756
the lambda is 2.0
the regulation term lambda/alpha is 5.391265225067177
720
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3506638384959696
the lambda is 2.0
the regulation term lambda/alpha is 5.703468052417921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3613875574405514
the lambda is 2.0
the regulation term lambda/alpha is 5.534224847597311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27989898572146504
the lambda is 2.0
the regulation term lambda/alpha is 7.145434967707434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37757204604414946
the lambda is 2.0
the regulation term lambda/alpha is 5.297002309768823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.24862154722056823
the lambda is 2.0
the regulation term lambda/alpha is 8.04435505433353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056559045515638
the lambda is 2.0
the regulation term lambda/alpha is 6.543305626417573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40100395051767856
the lambda is 2.0
the regulation term lambda/alpha is 4.987482037067434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29384893407850726
the lambda is 2.0
the regulation term lambda/alpha is 6.806218325316989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804853311405841
the lambda is 2.0
the regulation term lambda/alpha is 7.130497669404199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36428562212851995
the lambda is 2.0
the regulation term lambda/alpha is 5.490197467344457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3180228833169795
the lambda is 2.0
the regulation term lambda/alpha is 6.288855629318227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2898289576039563
the lambda is 2.0
the regulation term lambda/alpha is 6.900621720252493
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29608075545979784
the lambda is 2.0
the regulation term lambda/alpha is 6.754913864273634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3586717125580577
the lambda is 2.0
the regulation term lambda/alpha is 5.57612973082248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35185368351069335
the lambda is 2.0
the regulation term lambda/alpha is 5.684180935792924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035052648916069
the lambda is 2.0
the regulation term lambda/alpha is 6.589671519254452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30753816397766603
the lambda is 2.0
the regulation term lambda/alpha is 6.503257918081489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3512072382654354
the lambda is 2.0
the regulation term lambda/alpha is 5.694643452901845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27738546893636745
the lambda is 2.0
the regulation term lambda/alpha is 7.210183026778531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3545381041393192
the lambda is 2.0
the regulation term lambda/alpha is 5.641142592712914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.350973211881288
the lambda is 2.0
the regulation term lambda/alpha is 5.698440599724384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33544332582286285
the lambda is 2.0
the regulation term lambda/alpha is 5.962259034648785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34574684153390045
the lambda is 2.0
the regulation term lambda/alpha is 5.784579234699676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305100107947369
the lambda is 2.0
the regulation term lambda/alpha is 6.555225474862853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31153890891799446
the lambda is 2.0
the regulation term lambda/alpha is 6.419743867455267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3221713185592675
the lambda is 2.0
the regulation term lambda/alpha is 6.2078772528352015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3420902537762709
the lambda is 2.0
the regulation term lambda/alpha is 5.846410349088788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30811397506558985
the lambda is 2.0
the regulation term lambda/alpha is 6.491104467346051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29193537097026606
the lambda is 2.0
the regulation term lambda/alpha is 6.850831378715333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3542762866768285
the lambda is 2.0
the regulation term lambda/alpha is 5.645311513114068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29903421055114043
the lambda is 2.0
the regulation term lambda/alpha is 6.688197970104704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31128069131416447
the lambda is 2.0
the regulation term lambda/alpha is 6.42506925680614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32470347265427235
the lambda is 2.0
the regulation term lambda/alpha is 6.1594660003205375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32433262354488723
the lambda is 2.0
the regulation term lambda/alpha is 6.166508870246913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30057376887963655
the lambda is 2.0
the regulation term lambda/alpha is 6.653940586548293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3414515078064819
the lambda is 2.0
the regulation term lambda/alpha is 5.85734710280882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2770334635917239
the lambda is 2.0
the regulation term lambda/alpha is 7.219344457778161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3322738871783697
the lambda is 2.0
the regulation term lambda/alpha is 6.019130835058276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3793057207466547
the lambda is 2.0
the regulation term lambda/alpha is 5.272791552057389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32404545389070527
the lambda is 2.0
the regulation term lambda/alpha is 6.171973641310716
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3227798697329849
the lambda is 2.0
the regulation term lambda/alpha is 6.196173267107617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33241367899081564
the lambda is 2.0
the regulation term lambda/alpha is 6.016599575781171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31910428336629615
the lambda is 2.0
the regulation term lambda/alpha is 6.267543571968361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3794117656739401
the lambda is 2.0
the regulation term lambda/alpha is 5.271317816007755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3059914026092316
the lambda is 2.0
the regulation term lambda/alpha is 6.536131351880215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3330010760872188
the lambda is 2.0
the regulation term lambda/alpha is 6.005986597701459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35277428326404653
the lambda is 2.0
the regulation term lambda/alpha is 5.669347497484754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2979507964715556
the lambda is 2.0
the regulation term lambda/alpha is 6.712517716632228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33483964550713763
the lambda is 2.0
the regulation term lambda/alpha is 5.973008354404577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32133687644864184
the lambda is 2.0
the regulation term lambda/alpha is 6.223997762421933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3357362906253255
the lambda is 2.0
the regulation term lambda/alpha is 5.9570563440577144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3813110867583329
the lambda is 2.0
the regulation term lambda/alpha is 5.2450612359654745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2916056679833411
the lambda is 2.0
the regulation term lambda/alpha is 6.85857724862281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27908796174391115
the lambda is 2.0
the regulation term lambda/alpha is 7.166199457342355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33204125425446834
the lambda is 2.0
the regulation term lambda/alpha is 6.023347925517859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34063884524253596
the lambda is 2.0
the regulation term lambda/alpha is 5.871320983888357
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2934251387350546
the lambda is 2.0
the regulation term lambda/alpha is 6.81604857927964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3409009940401677
the lambda is 2.0
the regulation term lambda/alpha is 5.8668060080937865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30808670218412626
the lambda is 2.0
the regulation term lambda/alpha is 6.491679081964113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35186596288939426
the lambda is 2.0
the regulation term lambda/alpha is 5.683982569887503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30864474302404465
the lambda is 2.0
the regulation term lambda/alpha is 6.479941891782657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28919239266583235
the lambda is 2.0
the regulation term lambda/alpha is 6.91581124096525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32146040440659657
the lambda is 2.0
the regulation term lambda/alpha is 6.221606059669845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2774964260855776
the lambda is 2.0
the regulation term lambda/alpha is 7.207300029814498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3399031655558075
the lambda is 2.0
the regulation term lambda/alpha is 5.88402875486497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28255724482207645
the lambda is 2.0
the regulation term lambda/alpha is 7.078211713379994
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32089908347972507
the lambda is 2.0
the regulation term lambda/alpha is 6.2324889753895585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31048805039960314
the lambda is 2.0
the regulation term lambda/alpha is 6.441471732731639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31916338611220574
the lambda is 2.0
the regulation term lambda/alpha is 6.266382946873724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28754812074046066
the lambda is 2.0
the regulation term lambda/alpha is 6.955357575802726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28846054572949964
the lambda is 2.0
the regulation term lambda/alpha is 6.933357194281521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2950981573930009
the lambda is 2.0
the regulation term lambda/alpha is 6.777405923739718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36180738523848677
the lambda is 2.0
the regulation term lambda/alpha is 5.5278031394569025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3324664586650578
the lambda is 2.0
the regulation term lambda/alpha is 6.015644429307358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29639957931686817
the lambda is 2.0
the regulation term lambda/alpha is 6.747647903581824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3061785019298567
the lambda is 2.0
the regulation term lambda/alpha is 6.532137257821536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27761040081269206
the lambda is 2.0
the regulation term lambda/alpha is 7.20434102665134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29545577224224767
the lambda is 2.0
the regulation term lambda/alpha is 6.7692026621168075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3774307398952988
the lambda is 2.0
the regulation term lambda/alpha is 5.298985452416542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3134331397032905
the lambda is 2.0
the regulation term lambda/alpha is 6.380946194436515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2785653863179359
the lambda is 2.0
the regulation term lambda/alpha is 7.179642906952314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3573306849352732
the lambda is 2.0
the regulation term lambda/alpha is 5.597056408302241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33026234616913186
the lambda is 2.0
the regulation term lambda/alpha is 6.055791776443606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3210210327606504
the lambda is 2.0
the regulation term lambda/alpha is 6.2301213811469385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31717107539535605
the lambda is 2.0
the regulation term lambda/alpha is 6.30574524334221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3036752260869887
the lambda is 2.0
the regulation term lambda/alpha is 6.585983406585474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.293385580466057
the lambda is 2.0
the regulation term lambda/alpha is 6.816967612460382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2986430234378362
the lambda is 2.0
the regulation term lambda/alpha is 6.69695872006971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3505988703313175
the lambda is 2.0
the regulation term lambda/alpha is 5.704524940739231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2685075815184361
the lambda is 2.0
the regulation term lambda/alpha is 7.4485792493821155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30181690915290943
the lambda is 2.0
the regulation term lambda/alpha is 6.626533965950664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33153559639014407
the lambda is 2.0
the regulation term lambda/alpha is 6.032534731644448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2952135358076331
the lambda is 2.0
the regulation term lambda/alpha is 6.774757107693189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3142703490145981
the lambda is 2.0
the regulation term lambda/alpha is 6.363947493841038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31639707868967687
the lambda is 2.0
the regulation term lambda/alpha is 6.321170878956204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34476412000710394
the lambda is 2.0
the regulation term lambda/alpha is 5.8010676979924405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38446788846856234
the lambda is 2.0
the regulation term lambda/alpha is 5.201994912934162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.313544370919689
the lambda is 2.0
the regulation term lambda/alpha is 6.378682526283587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2929438163829465
the lambda is 2.0
the regulation term lambda/alpha is 6.827247711504958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2902186833863991
the lambda is 2.0
the regulation term lambda/alpha is 6.891355086664722
730
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28752332438190714
the lambda is 2.0
the regulation term lambda/alpha is 6.95595741423562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29905080097066106
the lambda is 2.0
the regulation term lambda/alpha is 6.687826929432681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3338487858013478
the lambda is 2.0
the regulation term lambda/alpha is 5.990736180751225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3511816111548445
the lambda is 2.0
the regulation term lambda/alpha is 5.695059013548837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2856706760420441
the lambda is 2.0
the regulation term lambda/alpha is 7.001068600074466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27533002366497855
the lambda is 2.0
the regulation term lambda/alpha is 7.264009835823786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3396444590209919
the lambda is 2.0
the regulation term lambda/alpha is 5.888510608313469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33185590357206285
the lambda is 2.0
the regulation term lambda/alpha is 6.026712131597496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32648778553333385
the lambda is 2.0
the regulation term lambda/alpha is 6.1258034408022395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2939845378193744
the lambda is 2.0
the regulation term lambda/alpha is 6.8030788790287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33228317773019017
the lambda is 2.0
the regulation term lambda/alpha is 6.018962541714872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128183292732455
the lambda is 2.0
the regulation term lambda/alpha is 6.393487250719917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3059978976562412
the lambda is 2.0
the regulation term lambda/alpha is 6.535992617331003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30720623425589344
the lambda is 2.0
the regulation term lambda/alpha is 6.5102845482427965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3377760006298134
the lambda is 2.0
the regulation term lambda/alpha is 5.921083784137482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3608546459746999
the lambda is 2.0
the regulation term lambda/alpha is 5.542397811168055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3455876839347591
the lambda is 2.0
the regulation term lambda/alpha is 5.787243275653206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3469198370392356
the lambda is 2.0
the regulation term lambda/alpha is 5.765020579592298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186261552636705
the lambda is 2.0
the regulation term lambda/alpha is 6.276948602492956
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32393909242312874
the lambda is 2.0
the regulation term lambda/alpha is 6.174000133912838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2972849909219906
the lambda is 2.0
the regulation term lambda/alpha is 6.727551208681141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3074508070290367
the lambda is 2.0
the regulation term lambda/alpha is 6.505105708865852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2868005033035627
the lambda is 2.0
the regulation term lambda/alpha is 6.9734884596179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33550037115344505
the lambda is 2.0
the regulation term lambda/alpha is 5.961245268146891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25717354937822823
the lambda is 2.0
the regulation term lambda/alpha is 7.776849543179792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4064296724953009
the lambda is 2.0
the regulation term lambda/alpha is 4.92090055266111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31519120846895765
the lambda is 2.0
the regulation term lambda/alpha is 6.345354649055748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3161896680597366
the lambda is 2.0
the regulation term lambda/alpha is 6.325317371287879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30343031157506745
the lambda is 2.0
the regulation term lambda/alpha is 6.5912992990656045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28858441011239067
the lambda is 2.0
the regulation term lambda/alpha is 6.930381302375585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29975582352051877
the lambda is 2.0
the regulation term lambda/alpha is 6.672097230708503
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3173898466647483
the lambda is 2.0
the regulation term lambda/alpha is 6.301398803448665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2973244013394882
the lambda is 2.0
the regulation term lambda/alpha is 6.726659470227533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29166291056647914
the lambda is 2.0
the regulation term lambda/alpha is 6.85723116496205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3374350124891473
the lambda is 2.0
the regulation term lambda/alpha is 5.927067215837078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30935499359359464
the lambda is 2.0
the regulation term lambda/alpha is 6.4650645420886175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2912910013294433
the lambda is 2.0
the regulation term lambda/alpha is 6.865986216093393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184824715772184
the lambda is 2.0
the regulation term lambda/alpha is 6.2797804541500035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3039634811220196
the lambda is 2.0
the regulation term lambda/alpha is 6.579737778424583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3422419380460324
the lambda is 2.0
the regulation term lambda/alpha is 5.843819174875625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171002570094011
the lambda is 2.0
the regulation term lambda/alpha is 6.307153513094459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39087133481113556
the lambda is 2.0
the regulation term lambda/alpha is 5.116773275191378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33378880894633844
the lambda is 2.0
the regulation term lambda/alpha is 5.991812626412918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26918183789129035
the lambda is 2.0
the regulation term lambda/alpha is 7.429921779521039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2950301539804691
the lambda is 2.0
the regulation term lambda/alpha is 6.778968091961201
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32895251202099174
the lambda is 2.0
the regulation term lambda/alpha is 6.079904931300152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.297737699689813
the lambda is 2.0
the regulation term lambda/alpha is 6.717321998805075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35461219130625765
the lambda is 2.0
the regulation term lambda/alpha is 5.639964019941767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168925379676207
the lambda is 2.0
the regulation term lambda/alpha is 6.311287772274256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3063691169267914
the lambda is 2.0
the regulation term lambda/alpha is 6.528073129766245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3104039506864538
the lambda is 2.0
the regulation term lambda/alpha is 6.443216961565821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31267810723388195
the lambda is 2.0
the regulation term lambda/alpha is 6.396354441611123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32184746149500687
the lambda is 2.0
the regulation term lambda/alpha is 6.214123891827023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31383820048269095
the lambda is 2.0
the regulation term lambda/alpha is 6.372710514283954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3544470698619855
the lambda is 2.0
the regulation term lambda/alpha is 5.642591433408547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3274309212558812
the lambda is 2.0
the regulation term lambda/alpha is 6.10815860740604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3397130633119194
the lambda is 2.0
the regulation term lambda/alpha is 5.887321436808069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3636202290135657
the lambda is 2.0
the regulation term lambda/alpha is 5.500244046998236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33544754923902526
the lambda is 2.0
the regulation term lambda/alpha is 5.962183967469941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028826177070312
the lambda is 2.0
the regulation term lambda/alpha is 6.6032181547458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30565889503584254
the lambda is 2.0
the regulation term lambda/alpha is 6.543241608478215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3699018588885036
the lambda is 2.0
the regulation term lambda/alpha is 5.406839549305545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2767624571900456
the lambda is 2.0
the regulation term lambda/alpha is 7.226413655616057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.369147552696513
the lambda is 2.0
the regulation term lambda/alpha is 5.417887739985258
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242044713360247
the lambda is 2.0
the regulation term lambda/alpha is 6.168946380529964
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  4  iterations
the alpha is 0.2784256620445526
the lambda is 2.0
the regulation term lambda/alpha is 7.183245916750187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3535162497869216
the lambda is 2.0
the regulation term lambda/alpha is 5.657448564826879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2938157085823493
the lambda is 2.0
the regulation term lambda/alpha is 6.806987991383889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3037630130743718
the lambda is 2.0
the regulation term lambda/alpha is 6.584080068728874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27569916249454113
the lambda is 2.0
the regulation term lambda/alpha is 7.2542839154964796
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35495478234407074
the lambda is 2.0
the regulation term lambda/alpha is 5.634520506505886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32796547039235213
the lambda is 2.0
the regulation term lambda/alpha is 6.0982029529125645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243086406349942
the lambda is 2.0
the regulation term lambda/alpha is 6.166964889014406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3147076527393681
the lambda is 2.0
the regulation term lambda/alpha is 6.355104436104523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3257986063846055
the lambda is 2.0
the regulation term lambda/alpha is 6.138761679167524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3428278849035426
the lambda is 2.0
the regulation term lambda/alpha is 5.833831167388021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3102607230186593
the lambda is 2.0
the regulation term lambda/alpha is 6.446191385558392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189041443236366
the lambda is 2.0
the regulation term lambda/alpha is 6.271476980149623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29233753774926136
the lambda is 2.0
the regulation term lambda/alpha is 6.841406736193438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34928450041187586
the lambda is 2.0
the regulation term lambda/alpha is 5.725991269700208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168613992143439
the lambda is 2.0
the regulation term lambda/alpha is 6.311907998131009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31047432678685155
the lambda is 2.0
the regulation term lambda/alpha is 6.441756459216193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35431287394093286
the lambda is 2.0
the regulation term lambda/alpha is 5.644728563640671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3122384572859391
the lambda is 2.0
the regulation term lambda/alpha is 6.405360881502361
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3597187273012398
the lambda is 2.0
the regulation term lambda/alpha is 5.559899577664014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31987792429005674
the lambda is 2.0
the regulation term lambda/alpha is 6.252385201132085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2807562496541358
the lambda is 2.0
the regulation term lambda/alpha is 7.123617025315746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3073492667830544
the lambda is 2.0
the regulation term lambda/alpha is 6.507254827491487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010252330227066
the lambda is 2.0
the regulation term lambda/alpha is 6.643961304895454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3719013023017945
the lambda is 2.0
the regulation term lambda/alpha is 5.377770896798362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212458215511312
the lambda is 2.0
the regulation term lambda/alpha is 6.2257619113706335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33731138895547946
the lambda is 2.0
the regulation term lambda/alpha is 5.929239466811993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31106946745850883
the lambda is 2.0
the regulation term lambda/alpha is 6.429432037609942
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3000021162796279
the lambda is 2.0
the regulation term lambda/alpha is 6.666619638562239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35654458802578737
the lambda is 2.0
the regulation term lambda/alpha is 5.609396600504138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33074497573889977
the lambda is 2.0
the regulation term lambda/alpha is 6.046955046049925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2995759102928917
the lambda is 2.0
the regulation term lambda/alpha is 6.6761042236160595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30222530618724736
the lambda is 2.0
the regulation term lambda/alpha is 6.617579531082932
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26401267986189725
the lambda is 2.0
the regulation term lambda/alpha is 7.575393731263903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29863427565256234
the lambda is 2.0
the regulation term lambda/alpha is 6.697154891646945
740
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3414104176590933
the lambda is 2.0
the regulation term lambda/alpha is 5.858052058613657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3198846421147785
the lambda is 2.0
the regulation term lambda/alpha is 6.252253896210421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2933701168146022
the lambda is 2.0
the regulation term lambda/alpha is 6.817326937439636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35178143744496276
the lambda is 2.0
the regulation term lambda/alpha is 5.685348307535146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3182621667182001
the lambda is 2.0
the regulation term lambda/alpha is 6.284127392907704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.327169953263735
the lambda is 2.0
the regulation term lambda/alpha is 6.113030796528494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29072692759584884
the lambda is 2.0
the regulation term lambda/alpha is 6.879307728867414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3174465188837159
the lambda is 2.0
the regulation term lambda/alpha is 6.300273844655457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3169102369468087
the lambda is 2.0
the regulation term lambda/alpha is 6.310935295964223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3332512931699133
the lambda is 2.0
the regulation term lambda/alpha is 6.00147708648281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.308857151909097
the lambda is 2.0
the regulation term lambda/alpha is 6.475485471641728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050430361515316
the lambda is 2.0
the regulation term lambda/alpha is 6.556451919808752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2831611027446053
the lambda is 2.0
the regulation term lambda/alpha is 7.06311700517667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3316504709663766
the lambda is 2.0
the regulation term lambda/alpha is 6.030445227990537
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31387316052180353
the lambda is 2.0
the regulation term lambda/alpha is 6.372000704600124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2946591876274329
the lambda is 2.0
the regulation term lambda/alpha is 6.78750259275404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302107249194685
the lambda is 2.0
the regulation term lambda/alpha is 6.05673846749756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26070438104357385
the lambda is 2.0
the regulation term lambda/alpha is 7.671524321893624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2842928771961128
the lambda is 2.0
the regulation term lambda/alpha is 7.034998624395175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30769118594495387
the lambda is 2.0
the regulation term lambda/alpha is 6.500023696999241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31965445950599924
the lambda is 2.0
the regulation term lambda/alpha is 6.256756133140899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30890244809273393
the lambda is 2.0
the regulation term lambda/alpha is 6.474535933103356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3371939794547091
the lambda is 2.0
the regulation term lambda/alpha is 5.931304002622722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2875527470888208
the lambda is 2.0
the regulation term lambda/alpha is 6.955245673178109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3314419595865535
the lambda is 2.0
the regulation term lambda/alpha is 6.034239003700181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028045500993968
the lambda is 2.0
the regulation term lambda/alpha is 6.604920564580328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30704970384147773
the lambda is 2.0
the regulation term lambda/alpha is 6.5136034165743775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30208157614164965
the lambda is 2.0
the regulation term lambda/alpha is 6.620728167354954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3581647065934006
the lambda is 2.0
the regulation term lambda/alpha is 5.584023113339474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30170502629922474
the lambda is 2.0
the regulation term lambda/alpha is 6.628991318217025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3192516548806945
the lambda is 2.0
the regulation term lambda/alpha is 6.264650376667294
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3573058868462466
the lambda is 2.0
the regulation term lambda/alpha is 5.597444860628972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29613126233098025
the lambda is 2.0
the regulation term lambda/alpha is 6.753761775292196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31187370397427905
the lambda is 2.0
the regulation term lambda/alpha is 6.412852300509903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3263698285682326
the lambda is 2.0
the regulation term lambda/alpha is 6.128017435845389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3790822504400918
the lambda is 2.0
the regulation term lambda/alpha is 5.275899881036687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32243936193622974
the lambda is 2.0
the regulation term lambda/alpha is 6.20271665342009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2879792660391982
the lambda is 2.0
the regulation term lambda/alpha is 6.944944431269474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28884460414271806
the lambda is 2.0
the regulation term lambda/alpha is 6.924138347454814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30723278966173356
the lambda is 2.0
the regulation term lambda/alpha is 6.5097218373143715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33820672774269456
the lambda is 2.0
the regulation term lambda/alpha is 5.913542918997125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.309619143891787
the lambda is 2.0
the regulation term lambda/alpha is 6.459548898885293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3415821756134996
the lambda is 2.0
the regulation term lambda/alpha is 5.855106451054991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3091300936040709
the lambda is 2.0
the regulation term lambda/alpha is 6.4697680406410685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30034811210805357
the lambda is 2.0
the regulation term lambda/alpha is 6.658939808086684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3292360328341375
the lambda is 2.0
the regulation term lambda/alpha is 6.074669235877836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2866300512648127
the lambda is 2.0
the regulation term lambda/alpha is 6.977635426483015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30705737003639955
the lambda is 2.0
the regulation term lambda/alpha is 6.513440793695699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124491943760131
the lambda is 2.0
the regulation term lambda/alpha is 6.40104066836903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27765771567529507
the lambda is 2.0
the regulation term lambda/alpha is 7.203113355361918
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29112717817129996
the lambda is 2.0
the regulation term lambda/alpha is 6.8698498455654144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3612517668052181
the lambda is 2.0
the regulation term lambda/alpha is 5.536305102912817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2699864814445617
the lambda is 2.0
the regulation term lambda/alpha is 7.407778305413689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3436822175326388
the lambda is 2.0
the regulation term lambda/alpha is 5.81932930472338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3062019928000633
the lambda is 2.0
the regulation term lambda/alpha is 6.531636132446446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31794248337121866
the lambda is 2.0
the regulation term lambda/alpha is 6.29044592843816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29368088490646027
the lambda is 2.0
the regulation term lambda/alpha is 6.810112958618387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2585560992158856
the lambda is 2.0
the regulation term lambda/alpha is 7.7352652134888045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36331075639039534
the lambda is 2.0
the regulation term lambda/alpha is 5.504929223320053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010222386984339
the lambda is 2.0
the regulation term lambda/alpha is 6.644027393615969
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32524802722119184
the lambda is 2.0
the regulation term lambda/alpha is 6.149153361781523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26498199261478556
the lambda is 2.0
the regulation term lambda/alpha is 7.5476826944519075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2869837079456365
the lambda is 2.0
the regulation term lambda/alpha is 6.9690367244779665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3407448540358071
the lambda is 2.0
the regulation term lambda/alpha is 5.869494363045701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.321495594488971
the lambda is 2.0
the regulation term lambda/alpha is 6.220925058643721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3600388336465368
the lambda is 2.0
the regulation term lambda/alpha is 5.554956335525385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3380905292880969
the lambda is 2.0
the regulation term lambda/alpha is 5.915575346672137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.289795376514596
the lambda is 2.0
the regulation term lambda/alpha is 6.901421354799519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33722030429991745
the lambda is 2.0
the regulation term lambda/alpha is 5.930840979910976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3169258924356634
the lambda is 2.0
the regulation term lambda/alpha is 6.3106235487086435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3040859689707123
the lambda is 2.0
the regulation term lambda/alpha is 6.577087416330702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26807977238645825
the lambda is 2.0
the regulation term lambda/alpha is 7.460465898623792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32179576961313555
the lambda is 2.0
the regulation term lambda/alpha is 6.2151221018362355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3238839922540786
the lambda is 2.0
the regulation term lambda/alpha is 6.175050474340985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3494130236897609
the lambda is 2.0
the regulation term lambda/alpha is 5.723885099874734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3504996653401543
the lambda is 2.0
the regulation term lambda/alpha is 5.706139542413063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010936396876192
the lambda is 2.0
the regulation term lambda/alpha is 6.6424518368271555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29877031331217857
the lambda is 2.0
the regulation term lambda/alpha is 6.694105508100612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33815243981114534
the lambda is 2.0
the regulation term lambda/alpha is 5.914492295595973
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29072012538498665
the lambda is 2.0
the regulation term lambda/alpha is 6.879468689522255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3826943324593523
the lambda is 2.0
the regulation term lambda/alpha is 5.226103002746791
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33725581590706405
the lambda is 2.0
the regulation term lambda/alpha is 5.930216487507899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29544066434299454
the lambda is 2.0
the regulation term lambda/alpha is 6.769548817687743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3106737578569774
the lambda is 2.0
the regulation term lambda/alpha is 6.437621297002901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3567087963649982
the lambda is 2.0
the regulation term lambda/alpha is 5.60681435496063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2760238657203351
the lambda is 2.0
the regulation term lambda/alpha is 7.245750271559424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3774027193659471
the lambda is 2.0
the regulation term lambda/alpha is 5.299378879304544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30614486165925053
the lambda is 2.0
the regulation term lambda/alpha is 6.532855031962179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32635184557655345
the lambda is 2.0
the regulation term lambda/alpha is 6.128355108477097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3117013828843846
the lambda is 2.0
the regulation term lambda/alpha is 6.416397583779198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32476123789094
the lambda is 2.0
the regulation term lambda/alpha is 6.158370416951151
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3326350104138555
the lambda is 2.0
the regulation term lambda/alpha is 6.012596201198587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32641332053474376
the lambda is 2.0
the regulation term lambda/alpha is 6.127200926492575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37055786378185585
the lambda is 2.0
the regulation term lambda/alpha is 5.397267729224017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31161181567948665
the lambda is 2.0
the regulation term lambda/alpha is 6.418241861717889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34078727267727904
the lambda is 2.0
the regulation term lambda/alpha is 5.868763772448665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3563329998200749
the lambda is 2.0
the regulation term lambda/alpha is 5.612727423533242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34555515961346656
the lambda is 2.0
the regulation term lambda/alpha is 5.7877879822057166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33152962489250826
the lambda is 2.0
the regulation term lambda/alpha is 6.032643389405877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3090067883596619
the lambda is 2.0
the regulation term lambda/alpha is 6.472349719618919
750
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30843504024155394
the lambda is 2.0
the regulation term lambda/alpha is 6.484347558026093
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32039553222726735
the lambda is 2.0
the regulation term lambda/alpha is 6.242284298088566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3666041051777774
the lambda is 2.0
the regulation term lambda/alpha is 5.45547628014187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31489660321057156
the lambda is 2.0
the regulation term lambda/alpha is 6.351291120986144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3161345477107987
the lambda is 2.0
the regulation term lambda/alpha is 6.326420236201483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34849898948317876
the lambda is 2.0
the regulation term lambda/alpha is 5.7388975588307565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.366265829268624
the lambda is 2.0
the regulation term lambda/alpha is 5.460514850631001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3118850945421893
the lambda is 2.0
the regulation term lambda/alpha is 6.412618092364321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36497108100923137
the lambda is 2.0
the regulation term lambda/alpha is 5.4798862267923445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30521630321056076
the lambda is 2.0
the regulation term lambda/alpha is 6.552729913055307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30582930016414456
the lambda is 2.0
the regulation term lambda/alpha is 6.539595777535249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36175226416416584
the lambda is 2.0
the regulation term lambda/alpha is 5.528645424296184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2980141779634334
the lambda is 2.0
the regulation term lambda/alpha is 6.711090102046762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32579117910344835
the lambda is 2.0
the regulation term lambda/alpha is 6.138901628656253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29783339271409653
the lambda is 2.0
the regulation term lambda/alpha is 6.7151637423003425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29734357724248406
the lambda is 2.0
the regulation term lambda/alpha is 6.726225663078632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2772044921072558
the lambda is 2.0
the regulation term lambda/alpha is 7.214890295595071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2837098151711978
the lambda is 2.0
the regulation term lambda/alpha is 7.0494564976299765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3002601284217123
the lambda is 2.0
the regulation term lambda/alpha is 6.660891043085882
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.328688574237345
the lambda is 2.0
the regulation term lambda/alpha is 6.08478711084069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28628831525736603
the lambda is 2.0
the regulation term lambda/alpha is 6.9859644750155105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33377670709020746
the lambda is 2.0
the regulation term lambda/alpha is 5.992029873610905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33020378858992744
the lambda is 2.0
the regulation term lambda/alpha is 6.056865696606995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36631455272798935
the lambda is 2.0
the regulation term lambda/alpha is 5.459788548136444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.302566567782854
the lambda is 2.0
the regulation term lambda/alpha is 6.610115633910222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3532776986185452
the lambda is 2.0
the regulation term lambda/alpha is 5.661268763414127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3761592181437147
the lambda is 2.0
the regulation term lambda/alpha is 5.316897482586439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.347983682893773
the lambda is 2.0
the regulation term lambda/alpha is 5.747395922039622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35104050426683325
the lambda is 2.0
the regulation term lambda/alpha is 5.697348242411816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33686895289592234
the lambda is 2.0
the regulation term lambda/alpha is 5.937026795751972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28053307396820665
the lambda is 2.0
the regulation term lambda/alpha is 7.129284157869613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970762479596257
the lambda is 2.0
the regulation term lambda/alpha is 6.73227837545535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35316626006653606
the lambda is 2.0
the regulation term lambda/alpha is 5.663055127698786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27347725630376607
the lambda is 2.0
the regulation term lambda/alpha is 7.313222412098837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2960390260451574
the lambda is 2.0
the regulation term lambda/alpha is 6.755866031308057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2862466173745178
the lambda is 2.0
the regulation term lambda/alpha is 6.986982128711938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29199195369930253
the lambda is 2.0
the regulation term lambda/alpha is 6.849503812216786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2893252614180027
the lambda is 2.0
the regulation term lambda/alpha is 6.912635247257238
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32745708157219106
the lambda is 2.0
the regulation term lambda/alpha is 6.107670630903979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34457906810218003
the lambda is 2.0
the regulation term lambda/alpha is 5.804183089284252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29297390190422534
the lambda is 2.0
the regulation term lambda/alpha is 6.826546620708251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27555628607720106
the lambda is 2.0
the regulation term lambda/alpha is 7.258045274422342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32919507712311724
the lambda is 2.0
the regulation term lambda/alpha is 6.075424995653901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31620735746090867
the lambda is 2.0
the regulation term lambda/alpha is 6.324963517799396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016029525850041
the lambda is 2.0
the regulation term lambda/alpha is 6.631234816696026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32401454797615514
the lambda is 2.0
the regulation term lambda/alpha is 6.172562350957105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29414472261922764
the lambda is 2.0
the regulation term lambda/alpha is 6.799374070664575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3584684026261605
the lambda is 2.0
the regulation term lambda/alpha is 5.579292304001924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28816391668990404
the lambda is 2.0
the regulation term lambda/alpha is 6.940494226250468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30297889387423405
the lambda is 2.0
the regulation term lambda/alpha is 6.601119881407304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.41400891105867127
the lambda is 2.0
the regulation term lambda/alpha is 4.830813894526464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2515140785971996
the lambda is 2.0
the regulation term lambda/alpha is 7.95184115002566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008534844801234
the lambda is 2.0
the regulation term lambda/alpha is 6.647754150017613
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32638195114304547
the lambda is 2.0
the regulation term lambda/alpha is 6.127789827212129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3118057475713442
the lambda is 2.0
the regulation term lambda/alpha is 6.414249947533056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30757521302376994
the lambda is 2.0
the regulation term lambda/alpha is 6.502474566588162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909749676337493
the lambda is 2.0
the regulation term lambda/alpha is 6.873443500189348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191940673258141
the lambda is 2.0
the regulation term lambda/alpha is 6.265780616650748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31014076767835824
the lambda is 2.0
the regulation term lambda/alpha is 6.448684624635244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32535764987882326
the lambda is 2.0
the regulation term lambda/alpha is 6.147081529341275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30556625154765477
the lambda is 2.0
the regulation term lambda/alpha is 6.545225429412609
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3030351788444418
the lambda is 2.0
the regulation term lambda/alpha is 6.599893806476731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32437516764768204
the lambda is 2.0
the regulation term lambda/alpha is 6.165700088893016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3554073285341826
the lambda is 2.0
the regulation term lambda/alpha is 5.627345975809395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29850781480897803
the lambda is 2.0
the regulation term lambda/alpha is 6.699992096621811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31502038383933284
the lambda is 2.0
the regulation term lambda/alpha is 6.348795514832599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30307574073636956
the lambda is 2.0
the regulation term lambda/alpha is 6.599010515129616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34980379063525924
the lambda is 2.0
the regulation term lambda/alpha is 5.717490929323296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29377598859716625
the lambda is 2.0
the regulation term lambda/alpha is 6.807908330256545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33169903318344407
the lambda is 2.0
the regulation term lambda/alpha is 6.029562343927341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30236253362953763
the lambda is 2.0
the regulation term lambda/alpha is 6.614576138095375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32469386381923404
the lambda is 2.0
the regulation term lambda/alpha is 6.159648280613811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33888718108962185
the lambda is 2.0
the regulation term lambda/alpha is 5.901669085178768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29399032095075883
the lambda is 2.0
the regulation term lambda/alpha is 6.8029450545583945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2798534045496636
the lambda is 2.0
the regulation term lambda/alpha is 7.146598781667042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2539708495794944
the lambda is 2.0
the regulation term lambda/alpha is 7.874919516595892
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3640037684070272
the lambda is 2.0
the regulation term lambda/alpha is 5.4944486117616504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31747113815648703
the lambda is 2.0
the regulation term lambda/alpha is 6.299785270603608
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3466838159778321
the lambda is 2.0
the regulation term lambda/alpha is 5.768945384309158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3088268943871693
the lambda is 2.0
the regulation term lambda/alpha is 6.4761199116701444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32864749309029895
the lambda is 2.0
the regulation term lambda/alpha is 6.085547713125204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3210425112872544
the lambda is 2.0
the regulation term lambda/alpha is 6.229704570839498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32281235858081825
the lambda is 2.0
the regulation term lambda/alpha is 6.195549664804071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34430820097242265
the lambda is 2.0
the regulation term lambda/alpha is 5.808749237896282
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078645061611972
the lambda is 2.0
the regulation term lambda/alpha is 6.496364342022605
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32075368527229564
the lambda is 2.0
the regulation term lambda/alpha is 6.235314173560161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28209808999116665
the lambda is 2.0
the regulation term lambda/alpha is 7.089732511349602
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34316871000417304
the lambda is 2.0
the regulation term lambda/alpha is 5.828037177327966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30908027787402126
the lambda is 2.0
the regulation term lambda/alpha is 6.470810799565751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2984611315640047
the lambda is 2.0
the regulation term lambda/alpha is 6.701040063473397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38239004973935564
the lambda is 2.0
the regulation term lambda/alpha is 5.230261617328271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3524438460856691
the lambda is 2.0
the regulation term lambda/alpha is 5.674662849734811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3431096327924707
the lambda is 2.0
the regulation term lambda/alpha is 5.829040658877965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3355217546432805
the lambda is 2.0
the regulation term lambda/alpha is 5.960865345754874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33285734350979596
the lambda is 2.0
the regulation term lambda/alpha is 6.008580068900118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29700221206327443
the lambda is 2.0
the regulation term lambda/alpha is 6.733956579333197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3002890059754702
the lambda is 2.0
the regulation term lambda/alpha is 6.660250492698273
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30022108786608576
the lambda is 2.0
the regulation term lambda/alpha is 6.66175722103873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2993844018149335
the lambda is 2.0
the regulation term lambda/alpha is 6.680374755249653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3502279344180299
the lambda is 2.0
the regulation term lambda/alpha is 5.710566757969718
760
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32265380576927843
the lambda is 2.0
the regulation term lambda/alpha is 6.198594171953296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2818607681932277
the lambda is 2.0
the regulation term lambda/alpha is 7.095701941140364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3005515974393341
the lambda is 2.0
the regulation term lambda/alpha is 6.65443144218755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27918281349531576
the lambda is 2.0
the regulation term lambda/alpha is 7.163764756721161
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3521364726739621
the lambda is 2.0
the regulation term lambda/alpha is 5.679616157942748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30045044697939505
the lambda is 2.0
the regulation term lambda/alpha is 6.656671741071367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31884620783327705
the lambda is 2.0
the regulation term lambda/alpha is 6.272616549498965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2692559670246984
the lambda is 2.0
the regulation term lambda/alpha is 7.427876240219194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30857975476132216
the lambda is 2.0
the regulation term lambda/alpha is 6.4813065962378005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3120575402838865
the lambda is 2.0
the regulation term lambda/alpha is 6.409074423199486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35083784580981586
the lambda is 2.0
the regulation term lambda/alpha is 5.70063926650653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3440739933515538
the lambda is 2.0
the regulation term lambda/alpha is 5.81270319363115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3246355573792033
the lambda is 2.0
the regulation term lambda/alpha is 6.160754589380428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32319587033418906
the lambda is 2.0
the regulation term lambda/alpha is 6.188197881154768
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27691605990753904
the lambda is 2.0
the regulation term lambda/alpha is 7.2224052323573815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3379157584232631
the lambda is 2.0
the regulation term lambda/alpha is 5.9186348968516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31166565782177824
the lambda is 2.0
the regulation term lambda/alpha is 6.417133071310901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31218026637372664
the lambda is 2.0
the regulation term lambda/alpha is 6.406554851246426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3778611948383879
the lambda is 2.0
the regulation term lambda/alpha is 5.2929489117171835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3112946589960967
the lambda is 2.0
the regulation term lambda/alpha is 6.424780966206933
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3405008703347957
the lambda is 2.0
the regulation term lambda/alpha is 5.873700111349232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3510102714106382
the lambda is 2.0
the regulation term lambda/alpha is 5.697838960559219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3254275555409191
the lambda is 2.0
the regulation term lambda/alpha is 6.145761064012051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3641499201772943
the lambda is 2.0
the regulation term lambda/alpha is 5.4922434117965935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28137756017596227
the lambda is 2.0
the regulation term lambda/alpha is 7.107887348050356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3172518721329288
the lambda is 2.0
the regulation term lambda/alpha is 6.304139315408037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2913630961464311
the lambda is 2.0
the regulation term lambda/alpha is 6.864287298055259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282169873483449
the lambda is 2.0
the regulation term lambda/alpha is 6.093529820494482
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298577537756914
the lambda is 2.0
the regulation term lambda/alpha is 6.698427534184752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32200976349506555
the lambda is 2.0
the regulation term lambda/alpha is 6.210991798174616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35425277308098363
the lambda is 2.0
the regulation term lambda/alpha is 5.645686221749891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.271981215902086
the lambda is 2.0
the regulation term lambda/alpha is 7.353448999654467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2936717322251655
the lambda is 2.0
the regulation term lambda/alpha is 6.8103252051053715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28821394224235586
the lambda is 2.0
the regulation term lambda/alpha is 6.939289558442743
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3650680504904116
the lambda is 2.0
the regulation term lambda/alpha is 5.4784306578275315
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3020538984938697
the lambda is 2.0
the regulation term lambda/alpha is 6.621334834519908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3066122468380275
the lambda is 2.0
the regulation term lambda/alpha is 6.5228966573423595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186675176534697
the lambda is 2.0
the regulation term lambda/alpha is 6.2761338674463545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.297855514433901
the lambda is 2.0
the regulation term lambda/alpha is 6.714665007297801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27743909531779515
the lambda is 2.0
the regulation term lambda/alpha is 7.2087893658573305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30004494504639073
the lambda is 2.0
the regulation term lambda/alpha is 6.665668037469436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3490094392962209
the lambda is 2.0
the regulation term lambda/alpha is 5.730504034598631
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3048258711930822
the lambda is 2.0
the regulation term lambda/alpha is 6.561122886886343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31592364051100874
the lambda is 2.0
the regulation term lambda/alpha is 6.330643685812767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3438693705987888
the lambda is 2.0
the regulation term lambda/alpha is 5.816162098175092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981165730507352
the lambda is 2.0
the regulation term lambda/alpha is 6.70878502168891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.296448231874821
the lambda is 2.0
the regulation term lambda/alpha is 6.74654049157738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302145097435581
the lambda is 2.0
the regulation term lambda/alpha is 6.056669046896769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2812650116645667
the lambda is 2.0
the regulation term lambda/alpha is 7.110731577183074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38910181164317537
the lambda is 2.0
the regulation term lambda/alpha is 5.14004288891385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2922777095077488
the lambda is 2.0
the regulation term lambda/alpha is 6.842807148613488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133708490244645
the lambda is 2.0
the regulation term lambda/alpha is 6.382214574923216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332215732241034
the lambda is 2.0
the regulation term lambda/alpha is 6.020184494300019
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31618047770651503
the lambda is 2.0
the regulation term lambda/alpha is 6.325501227993081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3218660980553795
the lambda is 2.0
the regulation term lambda/alpha is 6.213764084143726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32440280905495444
the lambda is 2.0
the regulation term lambda/alpha is 6.165174727760129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2915067013718778
the lambda is 2.0
the regulation term lambda/alpha is 6.860905737630304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29882210726057
the lambda is 2.0
the regulation term lambda/alpha is 6.692945238673453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32380339182447915
the lambda is 2.0
the regulation term lambda/alpha is 6.17658755435187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30954064131999304
the lambda is 2.0
the regulation term lambda/alpha is 6.461187104450253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3277021043710971
the lambda is 2.0
the regulation term lambda/alpha is 6.103103926775996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2972288969591652
the lambda is 2.0
the regulation term lambda/alpha is 6.728820853090775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31735729867621837
the lambda is 2.0
the regulation term lambda/alpha is 6.302045071414874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30789109560867733
the lambda is 2.0
the regulation term lambda/alpha is 6.495803316579038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3459410429611079
the lambda is 2.0
the regulation term lambda/alpha is 5.7813319370284955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.367382299130897
the lambda is 2.0
the regulation term lambda/alpha is 5.443920419495789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171958093540036
the lambda is 2.0
the regulation term lambda/alpha is 6.3052535406226555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2659532488537375
the lambda is 2.0
the regulation term lambda/alpha is 7.520118699884398
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3271809045327316
the lambda is 2.0
the regulation term lambda/alpha is 6.112826183595068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3488385200242684
the lambda is 2.0
the regulation term lambda/alpha is 5.733311790970967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3156917789040851
the lambda is 2.0
the regulation term lambda/alpha is 6.335293262760729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32728806753164896
the lambda is 2.0
the regulation term lambda/alpha is 6.11082467834425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3032427762277816
the lambda is 2.0
the regulation term lambda/alpha is 6.595375576227065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087398375624305
the lambda is 2.0
the regulation term lambda/alpha is 6.477946013674308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31884521362029883
the lambda is 2.0
the regulation term lambda/alpha is 6.272636108571877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262212229220782
the lambda is 2.0
the regulation term lambda/alpha is 6.130808970934805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2650224910805505
the lambda is 2.0
the regulation term lambda/alpha is 7.546529322268439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.300985038589767
the lambda is 2.0
the regulation term lambda/alpha is 6.644848559153587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.333405982814251
the lambda is 2.0
the regulation term lambda/alpha is 5.998692594290521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2810025764747488
the lambda is 2.0
the regulation term lambda/alpha is 7.117372463592775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2698667258861759
the lambda is 2.0
the regulation term lambda/alpha is 7.411065567392543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322917706074375
the lambda is 2.0
the regulation term lambda/alpha is 6.193528451299467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34882011842554494
the lambda is 2.0
the regulation term lambda/alpha is 5.733614245151105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33413318936305286
the lambda is 2.0
the regulation term lambda/alpha is 5.985637056326354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29427556515535136
the lambda is 2.0
the regulation term lambda/alpha is 6.796350892892441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32581599071361783
the lambda is 2.0
the regulation term lambda/alpha is 6.138434137684599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2869657301770425
the lambda is 2.0
the regulation term lambda/alpha is 6.969473319222148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031945529168799
the lambda is 2.0
the regulation term lambda/alpha is 6.596424575438515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3274699301526323
the lambda is 2.0
the regulation term lambda/alpha is 6.107430990893755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30771250943083306
the lambda is 2.0
the regulation term lambda/alpha is 6.499573266291131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3329074344461357
the lambda is 2.0
the regulation term lambda/alpha is 6.007675987553228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2918250886526929
the lambda is 2.0
the regulation term lambda/alpha is 6.853420345843676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2942066019608384
the lambda is 2.0
the regulation term lambda/alpha is 6.79794398450045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3225383362192601
the lambda is 2.0
the regulation term lambda/alpha is 6.200813284534367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3091786026006017
the lambda is 2.0
the regulation term lambda/alpha is 6.468752957602337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3092128717004525
the lambda is 2.0
the regulation term lambda/alpha is 6.468036045852205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29890565791896834
the lambda is 2.0
the regulation term lambda/alpha is 6.691074414329718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324698875805316
the lambda is 2.0
the regulation term lambda/alpha is 6.159553201530536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29670275137532287
the lambda is 2.0
the regulation term lambda/alpha is 6.7407531299567935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27984459809754303
the lambda is 2.0
the regulation term lambda/alpha is 7.146823678557759
770
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3218703072815777
the lambda is 2.0
the regulation term lambda/alpha is 6.213682824276069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32144560492971475
the lambda is 2.0
the regulation term lambda/alpha is 6.221892504759265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3501959958526623
the lambda is 2.0
the regulation term lambda/alpha is 5.711087572918619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324909361511218
the lambda is 2.0
the regulation term lambda/alpha is 6.155562864355778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160209513431154
the lambda is 2.0
the regulation term lambda/alpha is 6.328694320739916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2954704504734489
the lambda is 2.0
the regulation term lambda/alpha is 6.768866385099721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4014717963859017
the lambda is 2.0
the regulation term lambda/alpha is 4.981669990281373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30460187785067183
the lambda is 2.0
the regulation term lambda/alpha is 6.565947702333211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3066543151559881
the lambda is 2.0
the regulation term lambda/alpha is 6.522001814918682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3032822024725485
the lambda is 2.0
the regulation term lambda/alpha is 6.594518187004493
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31313302673475973
the lambda is 2.0
the regulation term lambda/alpha is 6.387061821154068
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3744192194157176
the lambda is 2.0
the regulation term lambda/alpha is 5.341606136354343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2917567996869123
the lambda is 2.0
the regulation term lambda/alpha is 6.855024466083477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2697891091986352
the lambda is 2.0
the regulation term lambda/alpha is 7.413197685928375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33963491932628315
the lambda is 2.0
the regulation term lambda/alpha is 5.888676005303872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3232133489538795
the lambda is 2.0
the regulation term lambda/alpha is 6.1878632379301495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.355597114274001
the lambda is 2.0
the regulation term lambda/alpha is 5.6243426049259915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31129470273111265
the lambda is 2.0
the regulation term lambda/alpha is 6.424780063564211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30719245061001776
the lambda is 2.0
the regulation term lambda/alpha is 6.51057666302812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2986573843903704
the lambda is 2.0
the regulation term lambda/alpha is 6.696636696535959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245120430525262
the lambda is 2.0
the regulation term lambda/alpha is 6.163099468318579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31862991992371387
the lambda is 2.0
the regulation term lambda/alpha is 6.276874439408698
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3220893089018347
the lambda is 2.0
the regulation term lambda/alpha is 6.209457888617947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2995171572048011
the lambda is 2.0
the regulation term lambda/alpha is 6.677413803819119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3657498219880235
the lambda is 2.0
the regulation term lambda/alpha is 5.468218655935504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29378520752694204
the lambda is 2.0
the regulation term lambda/alpha is 6.8076946992526395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078647794585103
the lambda is 2.0
the regulation term lambda/alpha is 6.49635857507868
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096980776183228
the lambda is 2.0
the regulation term lambda/alpha is 6.457902533269303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3662960636800645
the lambda is 2.0
the regulation term lambda/alpha is 5.460064134751031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32223241739874936
the lambda is 2.0
the regulation term lambda/alpha is 6.20670017047069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3331728000671904
the lambda is 2.0
the regulation term lambda/alpha is 6.0028909910912995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3616361957562333
the lambda is 2.0
the regulation term lambda/alpha is 5.53041986247453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33362112680418554
the lambda is 2.0
the regulation term lambda/alpha is 5.994824186220896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31995591479294117
the lambda is 2.0
the regulation term lambda/alpha is 6.250861157838873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3281123444939355
the lambda is 2.0
the regulation term lambda/alpha is 6.0954731925270975
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2760881331504677
the lambda is 2.0
the regulation term lambda/alpha is 7.244063615403572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32549561931689763
the lambda is 2.0
the regulation term lambda/alpha is 6.1444759354897185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32567801327541085
the lambda is 2.0
the regulation term lambda/alpha is 6.1410347597173915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2806344961103284
the lambda is 2.0
the regulation term lambda/alpha is 7.126707613356705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31549288770219286
the lambda is 2.0
the regulation term lambda/alpha is 6.339287121704896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32131612590837827
the lambda is 2.0
the regulation term lambda/alpha is 6.224399707129203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30246717763199116
the lambda is 2.0
the regulation term lambda/alpha is 6.612287705588275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124442857067033
the lambda is 2.0
the regulation term lambda/alpha is 6.401141232192141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3006397100211257
the lambda is 2.0
the regulation term lambda/alpha is 6.652481137170674
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28853987686894716
the lambda is 2.0
the regulation term lambda/alpha is 6.931450937398114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3036615255648084
the lambda is 2.0
the regulation term lambda/alpha is 6.5862805512816065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086329445352521
the lambda is 2.0
the regulation term lambda/alpha is 6.480189608441362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27218252740856874
the lambda is 2.0
the regulation term lambda/alpha is 7.348010245337433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29951280441166256
the lambda is 2.0
the regulation term lambda/alpha is 6.677510846084292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2791334782858948
the lambda is 2.0
the regulation term lambda/alpha is 7.16503091023555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32705751523986887
the lambda is 2.0
the regulation term lambda/alpha is 6.115132375212874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3057799612906927
the lambda is 2.0
the regulation term lambda/alpha is 6.540650968618184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3223663943503222
the lambda is 2.0
the regulation term lambda/alpha is 6.204120637421526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31030711822053486
the lambda is 2.0
the regulation term lambda/alpha is 6.445227590875317
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3055258482068246
the lambda is 2.0
the regulation term lambda/alpha is 6.5460909829341425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160961838756382
the lambda is 2.0
the regulation term lambda/alpha is 6.327188058641228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31395066594928916
the lambda is 2.0
the regulation term lambda/alpha is 6.370427640128177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30384079715526574
the lambda is 2.0
the regulation term lambda/alpha is 6.582394526097756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33249344647000945
the lambda is 2.0
the regulation term lambda/alpha is 6.015156151898464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3104401641995634
the lambda is 2.0
the regulation term lambda/alpha is 6.442465346443767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329809417161584
the lambda is 2.0
the regulation term lambda/alpha is 6.06410822714664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.328886498443971
the lambda is 2.0
the regulation term lambda/alpha is 6.081125280187564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30481486833657356
the lambda is 2.0
the regulation term lambda/alpha is 6.561359722753484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3020602292763861
the lambda is 2.0
the regulation term lambda/alpha is 6.6211960601075805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3745962536329343
the lambda is 2.0
the regulation term lambda/alpha is 5.339081692898599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2901467339135588
the lambda is 2.0
the regulation term lambda/alpha is 6.893063978434598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2984948214512523
the lambda is 2.0
the regulation term lambda/alpha is 6.700283744542696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28979712554035353
the lambda is 2.0
the regulation term lambda/alpha is 6.901379702337679
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31197666432739746
the lambda is 2.0
the regulation term lambda/alpha is 6.410735893698579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3101651490578202
the lambda is 2.0
the regulation term lambda/alpha is 6.448177708151102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3337099804725998
the lambda is 2.0
the regulation term lambda/alpha is 5.993228003452583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3299496682515118
the lambda is 2.0
the regulation term lambda/alpha is 6.061530567975761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33501434744357245
the lambda is 2.0
the regulation term lambda/alpha is 5.969893573996458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3716574075514408
the lambda is 2.0
the regulation term lambda/alpha is 5.381299980475115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31480698290699616
the lambda is 2.0
the regulation term lambda/alpha is 6.353099227760341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2953896055849467
the lambda is 2.0
the regulation term lambda/alpha is 6.7707189494345625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035486413323426
the lambda is 2.0
the regulation term lambda/alpha is 6.58872986952455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3785473970237776
the lambda is 2.0
the regulation term lambda/alpha is 5.283354252926944
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31265027110832355
the lambda is 2.0
the regulation term lambda/alpha is 6.396923926885266
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3444113421446987
the lambda is 2.0
the regulation term lambda/alpha is 5.807009686573369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31997401915765256
the lambda is 2.0
the regulation term lambda/alpha is 6.250507479529428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3577522594713224
the lambda is 2.0
the regulation term lambda/alpha is 5.59046084839702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38654090987309214
the lambda is 2.0
the regulation term lambda/alpha is 5.1740965805058865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28346208011037394
the lambda is 2.0
the regulation term lambda/alpha is 7.055617454092074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29991274371021276
the lambda is 2.0
the regulation term lambda/alpha is 6.66860625946751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33615742376570884
the lambda is 2.0
the regulation term lambda/alpha is 5.949593430350469
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33507650502356295
the lambda is 2.0
the regulation term lambda/alpha is 5.968786142911923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3230980107752839
the lambda is 2.0
the regulation term lambda/alpha is 6.190072155507664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3204137481456039
the lambda is 2.0
the regulation term lambda/alpha is 6.241929416496669
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33004648703093425
the lambda is 2.0
the regulation term lambda/alpha is 6.05975242455026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33622666205582447
the lambda is 2.0
the regulation term lambda/alpha is 5.948368245906494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31809370510234053
the lambda is 2.0
the regulation term lambda/alpha is 6.2874554507658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29847640910049705
the lambda is 2.0
the regulation term lambda/alpha is 6.700697070255223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31562969128895035
the lambda is 2.0
the regulation term lambda/alpha is 6.336539480276761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33220242037655573
the lambda is 2.0
the regulation term lambda/alpha is 6.02042573239826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2914348439093544
the lambda is 2.0
the regulation term lambda/alpha is 6.862597392856923
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28593154011917804
the lambda is 2.0
the regulation term lambda/alpha is 6.9946813113600115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3218797403315036
the lambda is 2.0
the regulation term lambda/alpha is 6.2135007252715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3106258928974123
the lambda is 2.0
the regulation term lambda/alpha is 6.438613282829331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.281130742553954
the lambda is 2.0
the regulation term lambda/alpha is 7.114127689596823
780
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3397215294653892
the lambda is 2.0
the regulation term lambda/alpha is 5.88717471968099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30317784708190043
the lambda is 2.0
the regulation term lambda/alpha is 6.596788054437632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3520209698437165
the lambda is 2.0
the regulation term lambda/alpha is 5.681479716642794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280747635939085
the lambda is 2.0
the regulation term lambda/alpha is 6.096171427789561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3073760248544933
the lambda is 2.0
the regulation term lambda/alpha is 6.506688350032397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3253720592010761
the lambda is 2.0
the regulation term lambda/alpha is 6.14680930166786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33255077485168427
the lambda is 2.0
the regulation term lambda/alpha is 6.014119199968752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3576310787834904
the lambda is 2.0
the regulation term lambda/alpha is 5.592355135362268
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32216790923070104
the lambda is 2.0
the regulation term lambda/alpha is 6.2079429474393155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34360467430468955
the lambda is 2.0
the regulation term lambda/alpha is 5.820642585980979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167467891599999
the lambda is 2.0
the regulation term lambda/alpha is 6.3141918669607415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35870066785959004
the lambda is 2.0
the regulation term lambda/alpha is 5.575679610339842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33296919239705236
the lambda is 2.0
the regulation term lambda/alpha is 6.0065617050092746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30778540321209236
the lambda is 2.0
the regulation term lambda/alpha is 6.498033951992897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3539607243466664
the lambda is 2.0
the regulation term lambda/alpha is 5.650344409514812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208717678958522
the lambda is 2.0
the regulation term lambda/alpha is 6.233019542713883
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212406196329653
the lambda is 2.0
the regulation term lambda/alpha is 6.22586272646687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3108503434207798
the lambda is 2.0
the regulation term lambda/alpha is 6.433964260714095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3144744036740921
the lambda is 2.0
the regulation term lambda/alpha is 6.35981808577564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316562414723062
the lambda is 2.0
the regulation term lambda/alpha is 6.317869421578863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33385466229343297
the lambda is 2.0
the regulation term lambda/alpha is 5.990630732130233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282205317075831
the lambda is 2.0
the regulation term lambda/alpha is 6.093464018216362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35390020945661005
the lambda is 2.0
the regulation term lambda/alpha is 5.6513105857463755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2699779977678716
the lambda is 2.0
the regulation term lambda/alpha is 7.408011084368473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3185662453780258
the lambda is 2.0
the regulation term lambda/alpha is 6.278129051703846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27288728582342814
the lambda is 2.0
the regulation term lambda/alpha is 7.329033281873385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3026305957476088
the lambda is 2.0
the regulation term lambda/alpha is 6.608717122798721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3390671016174508
the lambda is 2.0
the regulation term lambda/alpha is 5.898537458984979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2882988487462793
the lambda is 2.0
the regulation term lambda/alpha is 6.937245877662601
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33881696358045593
the lambda is 2.0
the regulation term lambda/alpha is 5.902892165920368
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3015001021530864
the lambda is 2.0
the regulation term lambda/alpha is 6.633496923276336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2748933252016479
the lambda is 2.0
the regulation term lambda/alpha is 7.275549519192221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3026866385908681
the lambda is 2.0
the regulation term lambda/alpha is 6.60749350982531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31083472849674615
the lambda is 2.0
the regulation term lambda/alpha is 6.434287473836554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32775991068292615
the lambda is 2.0
the regulation term lambda/alpha is 6.10202753543826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050377808953642
the lambda is 2.0
the regulation term lambda/alpha is 6.556564875765509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2924096648836687
the lambda is 2.0
the regulation term lambda/alpha is 6.839719202837134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.338646480393959
the lambda is 2.0
the regulation term lambda/alpha is 5.905863830840149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3520382128984278
the lambda is 2.0
the regulation term lambda/alpha is 5.681201434166614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30829025683133676
the lambda is 2.0
the regulation term lambda/alpha is 6.487392824399847
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35899432622229854
the lambda is 2.0
the regulation term lambda/alpha is 5.571118688827267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32515119014831756
the lambda is 2.0
the regulation term lambda/alpha is 6.150984712950615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3539911491651698
the lambda is 2.0
the regulation term lambda/alpha is 5.649858773917575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996872295550984
the lambda is 2.0
the regulation term lambda/alpha is 6.673624374882794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3041474081045973
the lambda is 2.0
the regulation term lambda/alpha is 6.57575881531824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.285573552708842
the lambda is 2.0
the regulation term lambda/alpha is 7.003449657815864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302539839252702
the lambda is 2.0
the regulation term lambda/alpha is 6.055945112996909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089048671136261
the lambda is 2.0
the regulation term lambda/alpha is 6.474485231287501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3444336506829067
the lambda is 2.0
the regulation term lambda/alpha is 5.806633573794579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3374820224940903
the lambda is 2.0
the regulation term lambda/alpha is 5.926241597165438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3541896468452207
the lambda is 2.0
the regulation term lambda/alpha is 5.646692436704654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3318015206507441
the lambda is 2.0
the regulation term lambda/alpha is 6.027699921560064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2539604990720822
the lambda is 2.0
the regulation term lambda/alpha is 7.875240469709171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3777773934905111
the lambda is 2.0
the regulation term lambda/alpha is 5.29412303240489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38910693068900337
the lambda is 2.0
the regulation term lambda/alpha is 5.139975267103415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34345254734723424
the lambda is 2.0
the regulation term lambda/alpha is 5.823220748972866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3583751434878278
the lambda is 2.0
the regulation term lambda/alpha is 5.580744190390342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31210156112190607
the lambda is 2.0
the regulation term lambda/alpha is 6.408170445577506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3490086779690144
the lambda is 2.0
the regulation term lambda/alpha is 5.730516535114819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35963600263520323
the lambda is 2.0
the regulation term lambda/alpha is 5.561178484203929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303333917354428
the lambda is 2.0
the regulation term lambda/alpha is 6.593393898853443
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186491404224534
the lambda is 2.0
the regulation term lambda/alpha is 6.276495826564832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33307517426428074
the lambda is 2.0
the regulation term lambda/alpha is 6.004650464922031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909290319624738
the lambda is 2.0
the regulation term lambda/alpha is 6.874528769125987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3272494820648197
the lambda is 2.0
the regulation term lambda/alpha is 6.111545195979414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3326904239045073
the lambda is 2.0
the regulation term lambda/alpha is 6.0115947328080095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3154706448921885
the lambda is 2.0
the regulation term lambda/alpha is 6.339734084239426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31152671359113554
the lambda is 2.0
the regulation term lambda/alpha is 6.4199951809747775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31495046472591487
the lambda is 2.0
the regulation term lambda/alpha is 6.350204949659296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3496133755686265
the lambda is 2.0
the regulation term lambda/alpha is 5.7206049303666155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2888875500481798
the lambda is 2.0
the regulation term lambda/alpha is 6.92310900786983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2922430928702069
the lambda is 2.0
the regulation term lambda/alpha is 6.843617689497471
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30315197462786325
the lambda is 2.0
the regulation term lambda/alpha is 6.5973510561991775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32526166312848354
the lambda is 2.0
the regulation term lambda/alpha is 6.148895571532413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3391340282743845
the lambda is 2.0
the regulation term lambda/alpha is 5.89737340772496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33339555723861936
the lambda is 2.0
the regulation term lambda/alpha is 5.998880178743807
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010931862628136
the lambda is 2.0
the regulation term lambda/alpha is 6.642461839884581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29072984642957134
the lambda is 2.0
the regulation term lambda/alpha is 6.879238662840541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3303182975025412
the lambda is 2.0
the regulation term lambda/alpha is 6.054766009396175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3046661184041511
the lambda is 2.0
the regulation term lambda/alpha is 6.564563235570962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33054966674353703
the lambda is 2.0
the regulation term lambda/alpha is 6.050527957578418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.291360797789282
the lambda is 2.0
the regulation term lambda/alpha is 6.864341445984235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3487597745131176
the lambda is 2.0
the regulation term lambda/alpha is 5.734606299686019
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3153278978846177
the lambda is 2.0
the regulation term lambda/alpha is 6.342604043020083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29650082916465287
the lambda is 2.0
the regulation term lambda/alpha is 6.745343699829452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3541685983986251
the lambda is 2.0
the regulation term lambda/alpha is 5.647028022933171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2793198087655022
the lambda is 2.0
the regulation term lambda/alpha is 7.160251214689406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3255373593813927
the lambda is 2.0
the regulation term lambda/alpha is 6.143688097122033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30485869016004846
the lambda is 2.0
the regulation term lambda/alpha is 6.560416562014406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29874266802494326
the lambda is 2.0
the regulation term lambda/alpha is 6.694724972574094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31587697680299176
the lambda is 2.0
the regulation term lambda/alpha is 6.331578895816055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32985106918561496
the lambda is 2.0
the regulation term lambda/alpha is 6.063342480404551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.318305928978137
the lambda is 2.0
the regulation term lambda/alpha is 6.283263420259354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3233497865819234
the lambda is 2.0
the regulation term lambda/alpha is 6.1852522654852065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3288618957391735
the lambda is 2.0
the regulation term lambda/alpha is 6.081580219273069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38294900011497984
the lambda is 2.0
the regulation term lambda/alpha is 5.222627554581688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3230914885601593
the lambda is 2.0
the regulation term lambda/alpha is 6.190197113866719
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3538801478590424
the lambda is 2.0
the regulation term lambda/alpha is 5.651630960651232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133672288816521
the lambda is 2.0
the regulation term lambda/alpha is 6.382288304803342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3182996007933291
the lambda is 2.0
the regulation term lambda/alpha is 6.283388339209994
790
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160557877128354
the lambda is 2.0
the regulation term lambda/alpha is 6.327996758019116
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31122740344701677
the lambda is 2.0
the regulation term lambda/alpha is 6.426169347071904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2919223310285046
the lambda is 2.0
the regulation term lambda/alpha is 6.85113739998435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3653037328211776
the lambda is 2.0
the regulation term lambda/alpha is 5.474896148896003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32006092968656547
the lambda is 2.0
the regulation term lambda/alpha is 6.248810193604677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2460295102566703
the lambda is 2.0
the regulation term lambda/alpha is 8.129106130047163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3220378465855518
the lambda is 2.0
the regulation term lambda/alpha is 6.210450172876451
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2617167886783814
the lambda is 2.0
the regulation term lambda/alpha is 7.641848312825513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3012370456554056
the lambda is 2.0
the regulation term lambda/alpha is 6.6392896519369735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2942338584396635
the lambda is 2.0
the regulation term lambda/alpha is 6.7973142540634095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3200993176972562
the lambda is 2.0
the regulation term lambda/alpha is 6.248060803089752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3521424957624128
the lambda is 2.0
the regulation term lambda/alpha is 5.679519013091169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32899199635048015
the lambda is 2.0
the regulation term lambda/alpha is 6.07917524494842
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3113437015893183
the lambda is 2.0
the regulation term lambda/alpha is 6.423768940211691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32924253297704587
the lambda is 2.0
the regulation term lambda/alpha is 6.074549305388305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32593982378443387
the lambda is 2.0
the regulation term lambda/alpha is 6.136101985876803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35660547177002366
the lambda is 2.0
the regulation term lambda/alpha is 5.6084389004827395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31908491030232367
the lambda is 2.0
the regulation term lambda/alpha is 6.267924102412296
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35531125061912744
the lambda is 2.0
the regulation term lambda/alpha is 5.628867637923126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3034474390332126
the lambda is 2.0
the regulation term lambda/alpha is 6.590927266916556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3206839127072698
the lambda is 2.0
the regulation term lambda/alpha is 6.23667081742782
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.359325459280453
the lambda is 2.0
the regulation term lambda/alpha is 5.565984675856221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010297173124944
the lambda is 2.0
the regulation term lambda/alpha is 6.643862333112549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28959153395879256
the lambda is 2.0
the regulation term lambda/alpha is 6.9062792432481475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33458328179855407
the lambda is 2.0
the regulation term lambda/alpha is 5.977584980483753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3456486643114348
the lambda is 2.0
the regulation term lambda/alpha is 5.786222272793072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168583488061711
the lambda is 2.0
the regulation term lambda/alpha is 6.31196876312526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3118659181696513
the lambda is 2.0
the regulation term lambda/alpha is 6.413012398847712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3260877702647687
the lambda is 2.0
the regulation term lambda/alpha is 6.133318027769301
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3062096454706404
the lambda is 2.0
the regulation term lambda/alpha is 6.531472896374721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29218184176589773
the lambda is 2.0
the regulation term lambda/alpha is 6.845052341077521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32585731819678104
the lambda is 2.0
the regulation term lambda/alpha is 6.137655618930202
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3210464915779412
the lambda is 2.0
the regulation term lambda/alpha is 6.229627335810506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32679427523241156
the lambda is 2.0
the regulation term lambda/alpha is 6.120058249421988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3486070169335749
the lambda is 2.0
the regulation term lambda/alpha is 5.737119171015106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28834862229952557
the lambda is 2.0
the regulation term lambda/alpha is 6.936048398811062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33081382022148287
the lambda is 2.0
the regulation term lambda/alpha is 6.045696635832752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30607253797757933
the lambda is 2.0
the regulation term lambda/alpha is 6.534398718732831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3519276538343118
the lambda is 2.0
the regulation term lambda/alpha is 5.682986199605683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31603449634324055
the lambda is 2.0
the regulation term lambda/alpha is 6.32842307767513
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3544723956741163
the lambda is 2.0
the regulation term lambda/alpha is 5.642188289997896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25829825715311466
the lambda is 2.0
the regulation term lambda/alpha is 7.742986817036226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199943631477752
the lambda is 2.0
the regulation term lambda/alpha is 6.250110096709387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033213270834056
the lambda is 2.0
the regulation term lambda/alpha is 6.593667577651245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2898276146977608
the lambda is 2.0
the regulation term lambda/alpha is 6.900653694043778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199110014243807
the lambda is 2.0
the regulation term lambda/alpha is 6.251738737008555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31132652767518243
the lambda is 2.0
the regulation term lambda/alpha is 6.424123298887874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3273540237499494
the lambda is 2.0
the regulation term lambda/alpha is 6.109593452034998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3070232763912815
the lambda is 2.0
the regulation term lambda/alpha is 6.514164083934562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30655964832326
the lambda is 2.0
the regulation term lambda/alpha is 6.524015834892421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3352178871830431
the lambda is 2.0
the regulation term lambda/alpha is 5.966268735856318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31616685028058666
the lambda is 2.0
the regulation term lambda/alpha is 6.325773869793978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3565933796591369
the lambda is 2.0
the regulation term lambda/alpha is 5.608629083107978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316383936708958
the lambda is 2.0
the regulation term lambda/alpha is 6.321433448246783
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35600592146958837
the lambda is 2.0
the regulation term lambda/alpha is 5.617884083905186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3731957584317064
the lambda is 2.0
the regulation term lambda/alpha is 5.359117714533172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29026325233511513
the lambda is 2.0
the regulation term lambda/alpha is 6.890296942208025
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3279617574420048
the lambda is 2.0
the regulation term lambda/alpha is 6.098271992440066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2874611299604244
the lambda is 2.0
the regulation term lambda/alpha is 6.957462389003153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2856421624321776
the lambda is 2.0
the regulation term lambda/alpha is 7.001767466575865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2839670790656373
the lambda is 2.0
the regulation term lambda/alpha is 7.043069945223165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33834271246446596
the lambda is 2.0
the regulation term lambda/alpha is 5.911166182454862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3238563797277188
the lambda is 2.0
the regulation term lambda/alpha is 6.175576969277226
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31534683682353326
the lambda is 2.0
the regulation term lambda/alpha is 6.342223122152931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30831225954383185
the lambda is 2.0
the regulation term lambda/alpha is 6.4869298514406495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34051280214142654
the lambda is 2.0
the regulation term lambda/alpha is 5.873494292791177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32204915870301487
the lambda is 2.0
the regulation term lambda/alpha is 6.210232028099619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27770662211350644
the lambda is 2.0
the regulation term lambda/alpha is 7.201844827389619
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32282971300955826
the lambda is 2.0
the regulation term lambda/alpha is 6.19521660926169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2897141761757745
the lambda is 2.0
the regulation term lambda/alpha is 6.903355667299366
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3112499050258122
the lambda is 2.0
the regulation term lambda/alpha is 6.42570477197138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3054160613187609
the lambda is 2.0
the regulation term lambda/alpha is 6.548444084322769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3267414183508418
the lambda is 2.0
the regulation term lambda/alpha is 6.121048289790064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3198158230030943
the lambda is 2.0
the regulation term lambda/alpha is 6.253599278546795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31874882880228167
the lambda is 2.0
the regulation term lambda/alpha is 6.2745328587249185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32020261876296185
the lambda is 2.0
the regulation term lambda/alpha is 6.246045106459766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2876057545025693
the lambda is 2.0
the regulation term lambda/alpha is 6.953963780937259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25476452863732246
the lambda is 2.0
the regulation term lambda/alpha is 7.850386436045651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31837215289033166
the lambda is 2.0
the regulation term lambda/alpha is 6.281956452042248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2830650670085008
the lambda is 2.0
the regulation term lambda/alpha is 7.065513315141558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3042569839853791
the lambda is 2.0
the regulation term lambda/alpha is 6.57339060488455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30722362089662714
the lambda is 2.0
the regulation term lambda/alpha is 6.509916113100394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010285697660849
the lambda is 2.0
the regulation term lambda/alpha is 6.643887660078596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29701170986446196
the lambda is 2.0
the regulation term lambda/alpha is 6.7337412417600575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28722179013386306
the lambda is 2.0
the regulation term lambda/alpha is 6.96325999175716
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29980216237249935
the lambda is 2.0
the regulation term lambda/alpha is 6.67106595954112
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37684009057203344
the lambda is 2.0
the regulation term lambda/alpha is 5.307290943922798
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26980303419075585
the lambda is 2.0
the regulation term lambda/alpha is 7.412815078224666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38261806026474
the lambda is 2.0
the regulation term lambda/alpha is 5.22714478928717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34468707144519684
the lambda is 2.0
the regulation term lambda/alpha is 5.802364421776661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.24760353699485074
the lambda is 2.0
the regulation term lambda/alpha is 8.077429039479322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29770270498994306
the lambda is 2.0
the regulation term lambda/alpha is 6.718111614295085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222874367256558
the lambda is 2.0
the regulation term lambda/alpha is 6.205640593128306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304696417039679
the lambda is 2.0
the regulation term lambda/alpha is 6.051993126169163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30612674619529884
the lambda is 2.0
the regulation term lambda/alpha is 6.533241622488175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3163699471733083
the lambda is 2.0
the regulation term lambda/alpha is 6.321712975172053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35535427317202445
the lambda is 2.0
the regulation term lambda/alpha is 5.628186153911295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27736656253793
the lambda is 2.0
the regulation term lambda/alpha is 7.210674501280229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3487672908957134
the lambda is 2.0
the regulation term lambda/alpha is 5.734482711562621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.304223901902155
the lambda is 2.0
the regulation term lambda/alpha is 6.574105412148857
800
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32098531483047293
the lambda is 2.0
the regulation term lambda/alpha is 6.230814643518167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3287909643385222
the lambda is 2.0
the regulation term lambda/alpha is 6.0828922230989475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2714802810679254
the lambda is 2.0
the regulation term lambda/alpha is 7.367017568025843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31057124240554584
the lambda is 2.0
the regulation term lambda/alpha is 6.439746270481758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124780737134826
the lambda is 2.0
the regulation term lambda/alpha is 6.4004490818573085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3489263632901102
the lambda is 2.0
the regulation term lambda/alpha is 5.731868412410921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32306454949520247
the lambda is 2.0
the regulation term lambda/alpha is 6.190713289728189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3286370903788153
the lambda is 2.0
the regulation term lambda/alpha is 6.085740345664053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3030472928902796
the lambda is 2.0
the regulation term lambda/alpha is 6.599629981595362
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31581871055640576
the lambda is 2.0
the regulation term lambda/alpha is 6.332747025901104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3334715159884527
the lambda is 2.0
the regulation term lambda/alpha is 5.997513742880681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29599074158460714
the lambda is 2.0
the regulation term lambda/alpha is 6.75696810411319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32928938805937963
the lambda is 2.0
the regulation term lambda/alpha is 6.073684948630494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34687254521931943
the lambda is 2.0
the regulation term lambda/alpha is 5.765806569486341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28981876324413375
the lambda is 2.0
the regulation term lambda/alpha is 6.900864449260196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31134316819191404
the lambda is 2.0
the regulation term lambda/alpha is 6.4237799455011215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028288036583216
the lambda is 2.0
the regulation term lambda/alpha is 6.604391576491442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30981664219673244
the lambda is 2.0
the regulation term lambda/alpha is 6.455431140881087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259889996574614
the lambda is 2.0
the regulation term lambda/alpha is 6.135176346752604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29982403989994316
the lambda is 2.0
the regulation term lambda/alpha is 6.670579185936648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3313806291651687
the lambda is 2.0
the regulation term lambda/alpha is 6.035355793241457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2921791896515836
the lambda is 2.0
the regulation term lambda/alpha is 6.845114473706872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30260789781888187
the lambda is 2.0
the regulation term lambda/alpha is 6.609212827607852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29679644027430346
the lambda is 2.0
the regulation term lambda/alpha is 6.738625295342396
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3204331661489012
the lambda is 2.0
the regulation term lambda/alpha is 6.2415511603771545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37650059072916586
the lambda is 2.0
the regulation term lambda/alpha is 5.312076658702222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29407657207655025
the lambda is 2.0
the regulation term lambda/alpha is 6.800949786232497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3689044793942584
the lambda is 2.0
the regulation term lambda/alpha is 5.4214576176575635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3118323125867952
the lambda is 2.0
the regulation term lambda/alpha is 6.413703517153378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32654955227052335
the lambda is 2.0
the regulation term lambda/alpha is 6.124644747156599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34372147047207535
the lambda is 2.0
the regulation term lambda/alpha is 5.818664738205477
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3340853992905967
the lambda is 2.0
the regulation term lambda/alpha is 5.986493286587316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3112497812286193
the lambda is 2.0
the regulation term lambda/alpha is 6.425707327745748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29307596078772324
the lambda is 2.0
the regulation term lambda/alpha is 6.8241693881150916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2989678369646875
the lambda is 2.0
the regulation term lambda/alpha is 6.689682811051777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3190776117342695
the lambda is 2.0
the regulation term lambda/alpha is 6.268067474648195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31760426796005986
the lambda is 2.0
the regulation term lambda/alpha is 6.2971445970981375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3151663830384737
the lambda is 2.0
the regulation term lambda/alpha is 6.345854468101223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34124658606871006
the lambda is 2.0
the regulation term lambda/alpha is 5.860864494032769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3539099127325663
the lambda is 2.0
the regulation term lambda/alpha is 5.651155641722049
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29440435823332584
the lambda is 2.0
the regulation term lambda/alpha is 6.793377693189343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3201504290853111
the lambda is 2.0
the regulation term lambda/alpha is 6.247063312437592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30496619593435526
the lambda is 2.0
the regulation term lambda/alpha is 6.55810390352413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30200339845714813
the lambda is 2.0
the regulation term lambda/alpha is 6.622442032829587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2857187366377604
the lambda is 2.0
the regulation term lambda/alpha is 6.999890954073614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2703156299150668
the lambda is 2.0
the regulation term lambda/alpha is 7.398758261327324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2853748369416829
the lambda is 2.0
the regulation term lambda/alpha is 7.00832638726555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3532428000586406
the lambda is 2.0
the regulation term lambda/alpha is 5.661828067459512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31167841566484983
the lambda is 2.0
the regulation term lambda/alpha is 6.4168704006459505
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31910476609626826
the lambda is 2.0
the regulation term lambda/alpha is 6.2675340906586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029995858115242
the lambda is 2.0
the regulation term lambda/alpha is 6.600669088848413
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27768868504249344
the lambda is 2.0
the regulation term lambda/alpha is 7.202310024601647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28662912861053286
the lambda is 2.0
the regulation term lambda/alpha is 6.977657887372531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133639215763253
the lambda is 2.0
the regulation term lambda/alpha is 6.382355664747018
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27824608006396684
the lambda is 2.0
the regulation term lambda/alpha is 7.187882034277766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.281186659177848
the lambda is 2.0
the regulation term lambda/alpha is 7.112712978089825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31298918738227255
the lambda is 2.0
the regulation term lambda/alpha is 6.38999710094547
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32164576629709035
the lambda is 2.0
the regulation term lambda/alpha is 6.21802059770526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981720524299049
the lambda is 2.0
the regulation term lambda/alpha is 6.7075367516885755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3006124828744139
the lambda is 2.0
the regulation term lambda/alpha is 6.653083667305775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34035362386219997
the lambda is 2.0
the regulation term lambda/alpha is 5.876241237877186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3458443876156326
the lambda is 2.0
the regulation term lambda/alpha is 5.782947682883253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968730734968373
the lambda is 2.0
the regulation term lambda/alpha is 6.736885822759897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32396033603894353
the lambda is 2.0
the regulation term lambda/alpha is 6.173595275440072
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3268456294576878
the lambda is 2.0
the regulation term lambda/alpha is 6.119096661376384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3043431856611088
the lambda is 2.0
the regulation term lambda/alpha is 6.571528768273567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29507964482611854
the lambda is 2.0
the regulation term lambda/alpha is 6.7778311214199105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30927460988804534
the lambda is 2.0
the regulation term lambda/alpha is 6.466744879975702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28895536357160007
the lambda is 2.0
the regulation term lambda/alpha is 6.921484257219615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2896532704587874
the lambda is 2.0
the regulation term lambda/alpha is 6.904807243612894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3285079112514777
the lambda is 2.0
the regulation term lambda/alpha is 6.088133440625027
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29418747067281426
the lambda is 2.0
the regulation term lambda/alpha is 6.798386061194071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3269533647839763
the lambda is 2.0
the regulation term lambda/alpha is 6.117080340559989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29535546200599905
the lambda is 2.0
the regulation term lambda/alpha is 6.771501655721463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3498664690113381
the lambda is 2.0
the regulation term lambda/alpha is 5.7164666441218355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36263409791850626
the lambda is 2.0
the regulation term lambda/alpha is 5.515201166905861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28774492854060796
the lambda is 2.0
the regulation term lambda/alpha is 6.950600346437557
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3269483749215413
the lambda is 2.0
the regulation term lambda/alpha is 6.11717369899742
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34425846056434745
the lambda is 2.0
the regulation term lambda/alpha is 5.80958851881628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2721135942290938
the lambda is 2.0
the regulation term lambda/alpha is 7.3498716801196995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32114163485620256
the lambda is 2.0
the regulation term lambda/alpha is 6.227781710383143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33547191086980277
the lambda is 2.0
the regulation term lambda/alpha is 5.961750999702039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31988745661099305
the lambda is 2.0
the regulation term lambda/alpha is 6.252198886410694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33357244696462734
the lambda is 2.0
the regulation term lambda/alpha is 5.995699039891277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29606028061017636
the lambda is 2.0
the regulation term lambda/alpha is 6.755381018615622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332984947933177
the lambda is 2.0
the regulation term lambda/alpha is 6.006277498168949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3183092771458807
the lambda is 2.0
the regulation term lambda/alpha is 6.283197329129062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28718094773332475
the lambda is 2.0
the regulation term lambda/alpha is 6.964250295103814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3130916976580118
the lambda is 2.0
the regulation term lambda/alpha is 6.387904933156637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32594390791300554
the lambda is 2.0
the regulation term lambda/alpha is 6.136025099551179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3646561747796765
the lambda is 2.0
the regulation term lambda/alpha is 5.484618493594385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35312673500848357
the lambda is 2.0
the regulation term lambda/alpha is 5.663688986765479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33841501078701536
the lambda is 2.0
the regulation term lambda/alpha is 5.909903332446204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3583985336996108
the lambda is 2.0
the regulation term lambda/alpha is 5.580379973530489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2985732185220977
the lambda is 2.0
the regulation term lambda/alpha is 6.6985244353119295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2904224939406206
the lambda is 2.0
the regulation term lambda/alpha is 6.886518922356329
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26857491095193325
the lambda is 2.0
the regulation term lambda/alpha is 7.446711954259715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3687877264382345
the lambda is 2.0
the regulation term lambda/alpha is 5.423173974134318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3172278861825044
the lambda is 2.0
the regulation term lambda/alpha is 6.30461597833609
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33342910956911176
the lambda is 2.0
the regulation term lambda/alpha is 5.998276522960418
810
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087467951068174
the lambda is 2.0
the regulation term lambda/alpha is 6.477800034517146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27486092104206467
the lambda is 2.0
the regulation term lambda/alpha is 7.276407255049256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30952451130028624
the lambda is 2.0
the regulation term lambda/alpha is 6.46152381146866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28634437354453257
the lambda is 2.0
the regulation term lambda/alpha is 6.984596816912688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3136901248021518
the lambda is 2.0
the regulation term lambda/alpha is 6.375718716875211
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35031666409935075
the lambda is 2.0
the regulation term lambda/alpha is 5.709120361550356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3599290043090854
the lambda is 2.0
the regulation term lambda/alpha is 5.556651384178309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008613987688319
the lambda is 2.0
the regulation term lambda/alpha is 6.647579277980784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262018781693495
the lambda is 2.0
the regulation term lambda/alpha is 6.131172546350849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2778264137392176
the lambda is 2.0
the regulation term lambda/alpha is 7.198739576566339
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37308918827512694
the lambda is 2.0
the regulation term lambda/alpha is 5.360648506718831
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2820686979693082
the lambda is 2.0
the regulation term lambda/alpha is 7.090471273128006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3256500679595202
the lambda is 2.0
the regulation term lambda/alpha is 6.141561746115187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28180267427379774
the lambda is 2.0
the regulation term lambda/alpha is 7.097164727602309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33153612005888694
the lambda is 2.0
the regulation term lambda/alpha is 6.032525203120441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3643947889071277
the lambda is 2.0
the regulation term lambda/alpha is 5.488552693078535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30561704309687227
the lambda is 2.0
the regulation term lambda/alpha is 6.544137655850739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36420035165664305
the lambda is 2.0
the regulation term lambda/alpha is 5.491482890948823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36145847954312643
the lambda is 2.0
the regulation term lambda/alpha is 5.533138972221498
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32407591217004483
the lambda is 2.0
the regulation term lambda/alpha is 6.171393568277875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2780454558065772
the lambda is 2.0
the regulation term lambda/alpha is 7.193068465004166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31051192426484714
the lambda is 2.0
the regulation term lambda/alpha is 6.4409764769423985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3585487957625313
the lambda is 2.0
the regulation term lambda/alpha is 5.578041325579044
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3126512453427027
the lambda is 2.0
the regulation term lambda/alpha is 6.396903993802307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31881795133935154
the lambda is 2.0
the regulation term lambda/alpha is 6.273172484792706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3438855537978143
the lambda is 2.0
the regulation term lambda/alpha is 5.815888390519275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028130378567243
the lambda is 2.0
the regulation term lambda/alpha is 6.604735430666291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30131786790987897
the lambda is 2.0
the regulation term lambda/alpha is 6.637508800500935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.340365534372646
the lambda is 2.0
the regulation term lambda/alpha is 5.876035608853154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29121142322968224
the lambda is 2.0
the regulation term lambda/alpha is 6.867862454772504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32292676918472973
the lambda is 2.0
the regulation term lambda/alpha is 6.193354626651912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3398967021786667
the lambda is 2.0
the regulation term lambda/alpha is 5.88414064384979
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3646178505723715
the lambda is 2.0
the regulation term lambda/alpha is 5.48519497018709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191268002884164
the lambda is 2.0
the regulation term lambda/alpha is 6.267101347152496
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27746481908101195
the lambda is 2.0
the regulation term lambda/alpha is 7.208121038999384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3632140072103228
the lambda is 2.0
the regulation term lambda/alpha is 5.506395569270762
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29682517056970664
the lambda is 2.0
the regulation term lambda/alpha is 6.737973050470525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186521426538888
the lambda is 2.0
the regulation term lambda/alpha is 6.276436691569167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33988150052479926
the lambda is 2.0
the regulation term lambda/alpha is 5.884403819895668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2927977983229741
the lambda is 2.0
the regulation term lambda/alpha is 6.8306524552273995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3362998906652475
the lambda is 2.0
the regulation term lambda/alpha is 5.947073000956749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29745959963065294
the lambda is 2.0
the regulation term lambda/alpha is 6.72360213784777
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34546322185034345
the lambda is 2.0
the regulation term lambda/alpha is 5.789328280121265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33336186785381394
the lambda is 2.0
the regulation term lambda/alpha is 5.999486422595404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3325706692504631
the lambda is 2.0
the regulation term lambda/alpha is 6.0137594349722265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199258756758338
the lambda is 2.0
the regulation term lambda/alpha is 6.251448076136574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30965248435215076
the lambda is 2.0
the regulation term lambda/alpha is 6.4588533955552245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089850079283218
the lambda is 2.0
the regulation term lambda/alpha is 6.472805957187279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33457596252197447
the lambda is 2.0
the regulation term lambda/alpha is 5.977715747791184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2930942322561163
the lambda is 2.0
the regulation term lambda/alpha is 6.823743970001866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33753412210509903
the lambda is 2.0
the regulation term lambda/alpha is 5.925326860367776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29973949497247393
the lambda is 2.0
the regulation term lambda/alpha is 6.6724606985264545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28821418129861803
the lambda is 2.0
the regulation term lambda/alpha is 6.939283802721021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2756644458293103
the lambda is 2.0
the regulation term lambda/alpha is 7.255197506458223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016203295250245
the lambda is 2.0
the regulation term lambda/alpha is 6.630852778224507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148039345970297
the lambda is 2.0
the regulation term lambda/alpha is 6.353160746101014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30855414541739795
the lambda is 2.0
the regulation term lambda/alpha is 6.481844531028716
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33243773105970514
the lambda is 2.0
the regulation term lambda/alpha is 6.016164271199421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2949011599195053
the lambda is 2.0
the regulation term lambda/alpha is 6.781933311303048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3156838425448
the lambda is 2.0
the regulation term lambda/alpha is 6.335452533387647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34398668354923845
the lambda is 2.0
the regulation term lambda/alpha is 5.814178558786328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35564078321447523
the lambda is 2.0
the regulation term lambda/alpha is 5.6236519949228265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32538784184264535
the lambda is 2.0
the regulation term lambda/alpha is 6.146511156268654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2846736463627866
the lambda is 2.0
the regulation term lambda/alpha is 7.025588864840726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086120145029359
the lambda is 2.0
the regulation term lambda/alpha is 6.480629094176026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26942777825061726
the lambda is 2.0
the regulation term lambda/alpha is 7.423139562616417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31539142776328843
the lambda is 2.0
the regulation term lambda/alpha is 6.341326440555846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3126471518653186
the lambda is 2.0
the regulation term lambda/alpha is 6.396987748225371
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33680505869899396
the lambda is 2.0
the regulation term lambda/alpha is 5.9381530898780825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280029774709042
the lambda is 2.0
the regulation term lambda/alpha is 6.097505624556143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31152742587873417
the lambda is 2.0
the regulation term lambda/alpha is 6.419980502065087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3288173371031103
the lambda is 2.0
the regulation term lambda/alpha is 6.082404345281957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33149655270436246
the lambda is 2.0
the regulation term lambda/alpha is 6.03324524398193
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3322957457494021
the lambda is 2.0
the regulation term lambda/alpha is 6.018734893790311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3419916995410312
the lambda is 2.0
the regulation term lambda/alpha is 5.8480951516779305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3293424586108117
the lambda is 2.0
the regulation term lambda/alpha is 6.072706229364208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3422539132527678
the lambda is 2.0
the regulation term lambda/alpha is 5.843614704042616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3000521202852198
the lambda is 2.0
the regulation term lambda/alpha is 6.6655086392952825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28225053776726566
the lambda is 2.0
the regulation term lambda/alpha is 7.085903239798724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3351873268859167
the lambda is 2.0
the regulation term lambda/alpha is 5.966812703156625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025848854886936
the lambda is 2.0
the regulation term lambda/alpha is 6.609715474617558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30106165762539705
the lambda is 2.0
the regulation term lambda/alpha is 6.643157470715007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3254310852253393
the lambda is 2.0
the regulation term lambda/alpha is 6.145694405975795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35586861655572277
the lambda is 2.0
the regulation term lambda/alpha is 5.620051634103102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3310044669310836
the lambda is 2.0
the regulation term lambda/alpha is 6.042214531251047
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37502728499725047
the lambda is 2.0
the regulation term lambda/alpha is 5.332945308271805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30141727516178257
the lambda is 2.0
the regulation term lambda/alpha is 6.635319753741788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29694527628647094
the lambda is 2.0
the regulation term lambda/alpha is 6.73524773659153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3019515388052687
the lambda is 2.0
the regulation term lambda/alpha is 6.62357942573632
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31054157936230586
the lambda is 2.0
the regulation term lambda/alpha is 6.440361397359351
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2828704502481259
the lambda is 2.0
the regulation term lambda/alpha is 7.070374435525722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3755248162208283
the lambda is 2.0
the regulation term lambda/alpha is 5.325879711832134
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3296876688475361
the lambda is 2.0
the regulation term lambda/alpha is 6.066347604055823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33490519883095965
the lambda is 2.0
the regulation term lambda/alpha is 5.9718392159372895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3513426358800539
the lambda is 2.0
the regulation term lambda/alpha is 5.692448896759536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3296068930665874
the lambda is 2.0
the regulation term lambda/alpha is 6.06783426582028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33887439047347356
the lambda is 2.0
the regulation term lambda/alpha is 5.901891840234992
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3320918688554522
the lambda is 2.0
the regulation term lambda/alpha is 6.022429898368059
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35523966840075644
the lambda is 2.0
the regulation term lambda/alpha is 5.630001877334657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3032981339451355
the lambda is 2.0
the regulation term lambda/alpha is 6.594171793888405
820
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34208403850384406
the lambda is 2.0
the regulation term lambda/alpha is 5.8465165716217005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996471191822009
the lambda is 2.0
the regulation term lambda/alpha is 6.674517697545081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31705041445578996
the lambda is 2.0
the regulation term lambda/alpha is 6.3081450419579355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34916397038085717
the lambda is 2.0
the regulation term lambda/alpha is 5.727967859394147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32035832285774757
the lambda is 2.0
the regulation term lambda/alpha is 6.243009334544691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.296216306891015
the lambda is 2.0
the regulation term lambda/alpha is 6.751822750716581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3305229378523506
the lambda is 2.0
the regulation term lambda/alpha is 6.051017254643395
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077940191461844
the lambda is 2.0
the regulation term lambda/alpha is 6.497852055566145
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3555001395238916
the lambda is 2.0
the regulation term lambda/alpha is 5.625876835599916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3144645571775395
the lambda is 2.0
the regulation term lambda/alpha is 6.360017224042345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34273422741113435
the lambda is 2.0
the regulation term lambda/alpha is 5.8354253530706055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30117204906554335
the lambda is 2.0
the regulation term lambda/alpha is 6.640722491364877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3629932705409402
the lambda is 2.0
the regulation term lambda/alpha is 5.509744015418131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32492281048704114
the lambda is 2.0
the regulation term lambda/alpha is 6.155308077638845
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30053294046802603
the lambda is 2.0
the regulation term lambda/alpha is 6.654844546775337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2884316752280015
the lambda is 2.0
the regulation term lambda/alpha is 6.9340511870585155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3129669079518328
the lambda is 2.0
the regulation term lambda/alpha is 6.39045199087889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3354492794177394
the lambda is 2.0
the regulation term lambda/alpha is 5.962153215745543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32431682371718173
the lambda is 2.0
the regulation term lambda/alpha is 6.166809285675806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31180708922206424
the lambda is 2.0
the regulation term lambda/alpha is 6.414222348150752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2746321442966177
the lambda is 2.0
the regulation term lambda/alpha is 7.2824687187377855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2850633922005931
the lambda is 2.0
the regulation term lambda/alpha is 7.015983303084536
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2840584572625594
the lambda is 2.0
the regulation term lambda/alpha is 7.040804274140553
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2590577723358634
the lambda is 2.0
the regulation term lambda/alpha is 7.720285641177515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3219228476390992
the lambda is 2.0
the regulation term lambda/alpha is 6.212668702043035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025221729705984
the lambda is 2.0
the regulation term lambda/alpha is 6.611085661461173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3141356117956551
the lambda is 2.0
the regulation term lambda/alpha is 6.366677081174095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34597766541630864
the lambda is 2.0
the regulation term lambda/alpha is 5.78071997102309
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30822436986637797
the lambda is 2.0
the regulation term lambda/alpha is 6.488779588930765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30021372499612786
the lambda is 2.0
the regulation term lambda/alpha is 6.661920603482722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31026312699946934
the lambda is 2.0
the regulation term lambda/alpha is 6.446141439177272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302203728420673
the lambda is 2.0
the regulation term lambda/alpha is 6.056561510081418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3413512872096341
the lambda is 2.0
the regulation term lambda/alpha is 5.859066817497424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3456023872344055
the lambda is 2.0
the regulation term lambda/alpha is 5.7869970633145424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3570177281038008
the lambda is 2.0
the regulation term lambda/alpha is 5.601962710990397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32739298971231623
the lambda is 2.0
the regulation term lambda/alpha is 6.108866294777483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3115925997927801
the lambda is 2.0
the regulation term lambda/alpha is 6.418637674097747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3615692323972229
the lambda is 2.0
the regulation term lambda/alpha is 5.531444107508528
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31333161809359567
the lambda is 2.0
the regulation term lambda/alpha is 6.383013665102184
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31076949303733253
the lambda is 2.0
the regulation term lambda/alpha is 6.435638133115407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010364476786456
the lambda is 2.0
the regulation term lambda/alpha is 6.64371379420138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186839663128699
the lambda is 2.0
the regulation term lambda/alpha is 6.27580992900185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3338559541358109
the lambda is 2.0
the regulation term lambda/alpha is 5.99060755162213
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31851159784229127
the lambda is 2.0
the regulation term lambda/alpha is 6.27920620017826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981061840476423
the lambda is 2.0
the regulation term lambda/alpha is 6.7090188229049526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3268933666482572
the lambda is 2.0
the regulation term lambda/alpha is 6.118203071866043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35728887229827805
the lambda is 2.0
the regulation term lambda/alpha is 5.597711418032425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008704558080249
the lambda is 2.0
the regulation term lambda/alpha is 6.647379167318879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2886232493785365
the lambda is 2.0
the regulation term lambda/alpha is 6.929448699321345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3328688072853658
the lambda is 2.0
the regulation term lambda/alpha is 6.008373137484811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29957547504633
the lambda is 2.0
the regulation term lambda/alpha is 6.676113923179779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33545141985714927
the lambda is 2.0
the regulation term lambda/alpha is 5.962115172598442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30463612735493717
the lambda is 2.0
the regulation term lambda/alpha is 6.565209508686286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32962507060533314
the lambda is 2.0
the regulation term lambda/alpha is 6.067499648394891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2843237016650775
the lambda is 2.0
the regulation term lambda/alpha is 7.0342359370233725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3104179022951217
the lambda is 2.0
the regulation term lambda/alpha is 6.44292737375228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31662474302576293
the lambda is 2.0
the regulation term lambda/alpha is 6.316625734575852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2976326285748837
the lambda is 2.0
the regulation term lambda/alpha is 6.719693366874272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213637738997289
the lambda is 2.0
the regulation term lambda/alpha is 6.223476827304234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3079008324766006
the lambda is 2.0
the regulation term lambda/alpha is 6.495597897261265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2982552195038991
the lambda is 2.0
the regulation term lambda/alpha is 6.705666386414585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30638346776774844
the lambda is 2.0
the regulation term lambda/alpha is 6.527767358244291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3722077157299191
the lambda is 2.0
the regulation term lambda/alpha is 5.373343741888568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2732740909798714
the lambda is 2.0
the regulation term lambda/alpha is 7.318659419298241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30389430159588104
the lambda is 2.0
the regulation term lambda/alpha is 6.581235612175453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31967529324329064
the lambda is 2.0
the regulation term lambda/alpha is 6.256348370588305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3081011074501038
the lambda is 2.0
the regulation term lambda/alpha is 6.491375563536055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31940862124934033
the lambda is 2.0
the regulation term lambda/alpha is 6.261571751498647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30785730992298754
the lambda is 2.0
the regulation term lambda/alpha is 6.49651619609199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30501564949271337
the lambda is 2.0
the regulation term lambda/alpha is 6.557040608658274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29219986398495645
the lambda is 2.0
the regulation term lambda/alpha is 6.84463015391057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2801022015180703
the lambda is 2.0
the regulation term lambda/alpha is 7.140250912561904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29485443270758827
the lambda is 2.0
the regulation term lambda/alpha is 6.78300808176566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31909693304799575
the lambda is 2.0
the regulation term lambda/alpha is 6.267687943272014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298166753582358
the lambda is 2.0
the regulation term lambda/alpha is 6.707655954162478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3514950511926244
the lambda is 2.0
the regulation term lambda/alpha is 5.6899805366078136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29995053522115295
the lambda is 2.0
the regulation term lambda/alpha is 6.667766065246071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.282602376763586
the lambda is 2.0
the regulation term lambda/alpha is 7.077081314404942
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36172522581391964
the lambda is 2.0
the regulation term lambda/alpha is 5.529058681212488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28540984266195635
the lambda is 2.0
the regulation term lambda/alpha is 7.007466811047682
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2717300973256916
the lambda is 2.0
the regulation term lambda/alpha is 7.3602446680863265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033903224507801
the lambda is 2.0
the regulation term lambda/alpha is 6.592168081842709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2898632230169226
the lambda is 2.0
the regulation term lambda/alpha is 6.899805981537843
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3285558141330817
the lambda is 2.0
the regulation term lambda/alpha is 6.087245801073844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3733649349718713
the lambda is 2.0
the regulation term lambda/alpha is 5.356689428134639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3333874482969444
the lambda is 2.0
the regulation term lambda/alpha is 5.999026088764515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3141292330755209
the lambda is 2.0
the regulation term lambda/alpha is 6.366806363160646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3221394409052396
the lambda is 2.0
the regulation term lambda/alpha is 6.20849155998976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30159230276905574
the lambda is 2.0
the regulation term lambda/alpha is 6.631468978608183
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2870393296389253
the lambda is 2.0
the regulation term lambda/alpha is 6.967686283673583
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33659510525397834
the lambda is 2.0
the regulation term lambda/alpha is 5.941857052528726
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3346596695554947
the lambda is 2.0
the regulation term lambda/alpha is 5.9762205665727866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035520656677598
the lambda is 2.0
the regulation term lambda/alpha is 6.588655542832037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36795532915151435
the lambda is 2.0
the regulation term lambda/alpha is 5.4354424071310365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3437094981569741
the lambda is 2.0
the regulation term lambda/alpha is 5.818867417759251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29127822535483855
the lambda is 2.0
the regulation term lambda/alpha is 6.866287370309183
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28022677533784823
the lambda is 2.0
the regulation term lambda/alpha is 7.137076739325681
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30024517098574777
the lambda is 2.0
the regulation term lambda/alpha is 6.661222871407771
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3367117985429028
the lambda is 2.0
the regulation term lambda/alpha is 5.939797799349066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143358059344443
the lambda is 2.0
the regulation term lambda/alpha is 6.362622272873063
830
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3205820965601397
the lambda is 2.0
the regulation term lambda/alpha is 6.238651569941334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3297818763329634
the lambda is 2.0
the regulation term lambda/alpha is 6.064614654507895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3007600036879664
the lambda is 2.0
the regulation term lambda/alpha is 6.649820373306576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029986666004807
the lambda is 2.0
the regulation term lambda/alpha is 6.600689113385118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35339542903161464
the lambda is 2.0
the regulation term lambda/alpha is 5.659382764175709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28201010568595475
the lambda is 2.0
the regulation term lambda/alpha is 7.09194443630042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30439001964707896
the lambda is 2.0
the regulation term lambda/alpha is 6.57051766125208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31017700079469834
the lambda is 2.0
the regulation term lambda/alpha is 6.447931325906949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3088115487064614
the lambda is 2.0
the regulation term lambda/alpha is 6.476441727576341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30897035322843586
the lambda is 2.0
the regulation term lambda/alpha is 6.473112967318611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3363822142986247
the lambda is 2.0
the regulation term lambda/alpha is 5.945617559388832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31164681675164
the lambda is 2.0
the regulation term lambda/alpha is 6.417521028600319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3231478727956252
the lambda is 2.0
the regulation term lambda/alpha is 6.189117021559042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2825912407952327
the lambda is 2.0
the regulation term lambda/alpha is 7.077360198326926
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3429581324497117
the lambda is 2.0
the regulation term lambda/alpha is 5.8316156135859005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3625265540049461
the lambda is 2.0
the regulation term lambda/alpha is 5.516837257589449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28764047517202074
the lambda is 2.0
the regulation term lambda/alpha is 6.95312437793714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32090742144229384
the lambda is 2.0
the regulation term lambda/alpha is 6.232327040026538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30737680320071026
the lambda is 2.0
the regulation term lambda/alpha is 6.506671873654839
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970065576491349
the lambda is 2.0
the regulation term lambda/alpha is 6.73385805293456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34031370002103334
the lambda is 2.0
the regulation term lambda/alpha is 5.87693060807246
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28692796654478964
the lambda is 2.0
the regulation term lambda/alpha is 6.970390596929835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29715532646650167
the lambda is 2.0
the regulation term lambda/alpha is 6.730486792150637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32610342057241265
the lambda is 2.0
the regulation term lambda/alpha is 6.133023678467953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28992083542501457
the lambda is 2.0
the regulation term lambda/alpha is 6.898434867808189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3506360883673279
the lambda is 2.0
the regulation term lambda/alpha is 5.70391943770714
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31270994360124255
the lambda is 2.0
the regulation term lambda/alpha is 6.395703241692673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981279897710016
the lambda is 2.0
the regulation term lambda/alpha is 6.708528110816574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3594490150844249
the lambda is 2.0
the regulation term lambda/alpha is 5.564071442872792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2988127743046513
the lambda is 2.0
the regulation term lambda/alpha is 6.693154282490353
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3233582202806973
the lambda is 2.0
the regulation term lambda/alpha is 6.185090944228546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30344100161588383
the lambda is 2.0
the regulation term lambda/alpha is 6.591067091624406
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160583103293076
the lambda is 2.0
the regulation term lambda/alpha is 6.327946251171688
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34089545322733317
the lambda is 2.0
the regulation term lambda/alpha is 5.866901365405595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30414297597001927
the lambda is 2.0
the regulation term lambda/alpha is 6.575854640802715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970838635997292
the lambda is 2.0
the regulation term lambda/alpha is 6.732105795872728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033588098949533
the lambda is 2.0
the regulation term lambda/alpha is 6.592852868497729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33748461051171214
the lambda is 2.0
the regulation term lambda/alpha is 5.926196151485229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3354377013152549
the lambda is 2.0
the regulation term lambda/alpha is 5.9623590078216555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2936889680865311
the lambda is 2.0
the regulation term lambda/alpha is 6.809925524375602
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3261731051113027
the lambda is 2.0
the regulation term lambda/alpha is 6.131713402052336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31885240786557484
the lambda is 2.0
the regulation term lambda/alpha is 6.272494579508338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3686770105318839
the lambda is 2.0
the regulation term lambda/alpha is 5.424802585641657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31755755561101423
the lambda is 2.0
the regulation term lambda/alpha is 6.298070899783156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30560804651555235
the lambda is 2.0
the regulation term lambda/alpha is 6.544330304137526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30144341557923054
the lambda is 2.0
the regulation term lambda/alpha is 6.634744355443802
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31622526944582674
the lambda is 2.0
the regulation term lambda/alpha is 6.324605252151187
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3027904060661167
the lambda is 2.0
the regulation term lambda/alpha is 6.605229095545663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2734222860804743
the lambda is 2.0
the regulation term lambda/alpha is 7.314692699962852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3104939781245252
the lambda is 2.0
the regulation term lambda/alpha is 6.441348756844133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3150556493825304
the lambda is 2.0
the regulation term lambda/alpha is 6.348084866656889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34711162899967607
the lambda is 2.0
the regulation term lambda/alpha is 5.761835193374828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3005920296602667
the lambda is 2.0
the regulation term lambda/alpha is 6.653536363756643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3314974527494953
the lambda is 2.0
the regulation term lambda/alpha is 6.033228863183308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184684657163335
the lambda is 2.0
the regulation term lambda/alpha is 6.280056631357158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3673888105474106
the lambda is 2.0
the regulation term lambda/alpha is 5.443823934158455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.314413339794023
the lambda is 2.0
the regulation term lambda/alpha is 6.361053259732016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.274494151024209
the lambda is 2.0
the regulation term lambda/alpha is 7.286129750078391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.326949005854946
the lambda is 2.0
the regulation term lambda/alpha is 6.1171618943148545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28191370730212956
the lambda is 2.0
the regulation term lambda/alpha is 7.094369476176556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2514402656396397
the lambda is 2.0
the regulation term lambda/alpha is 7.954175497357965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3200244785475209
the lambda is 2.0
the regulation term lambda/alpha is 6.249521939938157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27125710768157313
the lambda is 2.0
the regulation term lambda/alpha is 7.373078689417372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31231215909132853
the lambda is 2.0
the regulation term lambda/alpha is 6.40384929558617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.289258787033751
the lambda is 2.0
the regulation term lambda/alpha is 6.914223835719251
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3108644205961381
the lambda is 2.0
the regulation term lambda/alpha is 6.4336729052641095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32352710106280713
the lambda is 2.0
the regulation term lambda/alpha is 6.181862333726827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36575226157941526
the lambda is 2.0
the regulation term lambda/alpha is 5.46818218256114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3206452012441205
the lambda is 2.0
the regulation term lambda/alpha is 6.237423770073256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3515661574196785
the lambda is 2.0
the regulation term lambda/alpha is 5.688829706132722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3437288603223177
the lambda is 2.0
the regulation term lambda/alpha is 5.818539642334897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3026789309903798
the lambda is 2.0
the regulation term lambda/alpha is 6.607661767060909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3535520265721945
the lambda is 2.0
the regulation term lambda/alpha is 5.656876073913848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2947983561168869
the lambda is 2.0
the regulation term lambda/alpha is 6.7842983466536175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2897238085281093
the lambda is 2.0
the regulation term lambda/alpha is 6.903126153700129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3388309046714599
the lambda is 2.0
the regulation term lambda/alpha is 5.902649293278773
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167515981776538
the lambda is 2.0
the regulation term lambda/alpha is 6.3140960030082525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3215026824085994
the lambda is 2.0
the regulation term lambda/alpha is 6.220787910746542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2811412868411485
the lambda is 2.0
the regulation term lambda/alpha is 7.1138608721316965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.295467033821809
the lambda is 2.0
the regulation term lambda/alpha is 6.768944657312142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32184063743185487
the lambda is 2.0
the regulation term lambda/alpha is 6.214255651365566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30561640125685013
the lambda is 2.0
the regulation term lambda/alpha is 6.5441513995158065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167164086844242
the lambda is 2.0
the regulation term lambda/alpha is 6.314797544931742
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32088001030359964
the lambda is 2.0
the regulation term lambda/alpha is 6.232859435861106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30857836375058467
the lambda is 2.0
the regulation term lambda/alpha is 6.481335812696656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2783516861454563
the lambda is 2.0
the regulation term lambda/alpha is 7.185154965991023
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3468307400437712
the lambda is 2.0
the regulation term lambda/alpha is 5.766501549855683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29253328038331866
the lambda is 2.0
the regulation term lambda/alpha is 6.836828949442319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35409201598865675
the lambda is 2.0
the regulation term lambda/alpha is 5.6482493524058155
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259861015011565
the lambda is 2.0
the regulation term lambda/alpha is 6.135230891102591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35490396943963365
the lambda is 2.0
the regulation term lambda/alpha is 5.635327221495571
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31750124591295587
the lambda is 2.0
the regulation term lambda/alpha is 6.299187879559715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31021652170551145
the lambda is 2.0
the regulation term lambda/alpha is 6.4471098734663785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29189465365249256
the lambda is 2.0
the regulation term lambda/alpha is 6.851787023071163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29183653373097185
the lambda is 2.0
the regulation term lambda/alpha is 6.853151572324014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29760172134839635
the lambda is 2.0
the regulation term lambda/alpha is 6.720391236106596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31958599470523064
the lambda is 2.0
the regulation term lambda/alpha is 6.258096515914895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3236292249675032
the lambda is 2.0
the regulation term lambda/alpha is 6.179911595440206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32598817049308026
the lambda is 2.0
the regulation term lambda/alpha is 6.135191951827141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3107347421805795
the lambda is 2.0
the regulation term lambda/alpha is 6.436357859327251
840
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3009113911205654
the lambda is 2.0
the regulation term lambda/alpha is 6.646474872726453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30986071007838334
the lambda is 2.0
the regulation term lambda/alpha is 6.45451306005874
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2915593084612726
the lambda is 2.0
the regulation term lambda/alpha is 6.859667799855744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32528735035887507
the lambda is 2.0
the regulation term lambda/alpha is 6.148410006701733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29045610449585274
the lambda is 2.0
the regulation term lambda/alpha is 6.885722038692965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29200883645923437
the lambda is 2.0
the regulation term lambda/alpha is 6.849107801842867
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3077691802721766
the lambda is 2.0
the regulation term lambda/alpha is 6.498376472365732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32936846821712784
the lambda is 2.0
the regulation term lambda/alpha is 6.072226679214328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3079226979396884
the lambda is 2.0
the regulation term lambda/alpha is 6.495136647548249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3225607823291745
the lambda is 2.0
the regulation term lambda/alpha is 6.200381787141725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3198900537883822
the lambda is 2.0
the regulation term lambda/alpha is 6.252148125002554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3185874162349835
the lambda is 2.0
the regulation term lambda/alpha is 6.277711855777886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2997644680665691
the lambda is 2.0
the regulation term lambda/alpha is 6.67190482214142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29705456237813344
the lambda is 2.0
the regulation term lambda/alpha is 6.732769845339439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031204749112116
the lambda is 2.0
the regulation term lambda/alpha is 6.598036640665166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30963917584370726
the lambda is 2.0
the regulation term lambda/alpha is 6.459131001593659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2964982681005324
the lambda is 2.0
the regulation term lambda/alpha is 6.745401964108162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34784148325678355
the lambda is 2.0
the regulation term lambda/alpha is 5.749745491176968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149688752896156
the lambda is 2.0
the regulation term lambda/alpha is 6.349833767419048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3329860455041264
the lambda is 2.0
the regulation term lambda/alpha is 6.006257700595492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28871207168347923
the lambda is 2.0
the regulation term lambda/alpha is 6.927316853562811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.301813345345098
the lambda is 2.0
the regulation term lambda/alpha is 6.626612211972168
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3318398001306232
the lambda is 2.0
the regulation term lambda/alpha is 6.0270045944239765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981349927431851
the lambda is 2.0
the regulation term lambda/alpha is 6.708370532414521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33995948480705296
the lambda is 2.0
the regulation term lambda/alpha is 5.883053979609123
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3473885349607144
the lambda is 2.0
the regulation term lambda/alpha is 5.757242392084634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33452448921353123
the lambda is 2.0
the regulation term lambda/alpha is 5.978635539365175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2766023234848235
the lambda is 2.0
the regulation term lambda/alpha is 7.230597251688434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3075438805758926
the lambda is 2.0
the regulation term lambda/alpha is 6.503137036103243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32430608906749225
the lambda is 2.0
the regulation term lambda/alpha is 6.167013409309667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3064903298792069
the lambda is 2.0
the regulation term lambda/alpha is 6.52549136146721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3150858933298689
the lambda is 2.0
the regulation term lambda/alpha is 6.347475537110654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32433646437089864
the lambda is 2.0
the regulation term lambda/alpha is 6.16643584581004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029881582217328
the lambda is 2.0
the regulation term lambda/alpha is 6.60091804160993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3103920233732221
the lambda is 2.0
the regulation term lambda/alpha is 6.4434645525512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29232328817202685
the lambda is 2.0
the regulation term lambda/alpha is 6.841740227083916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2854389861405452
the lambda is 2.0
the regulation term lambda/alpha is 7.006751344804857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2955482994874862
the lambda is 2.0
the regulation term lambda/alpha is 6.767083429233813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3458217858010533
the lambda is 2.0
the regulation term lambda/alpha is 5.783325637993707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3033626609805283
the lambda is 2.0
the regulation term lambda/alpha is 6.592769174477846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2739689901083562
the lambda is 2.0
the regulation term lambda/alpha is 7.3000962598321415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37228126527168565
the lambda is 2.0
the regulation term lambda/alpha is 5.3722821602113875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30489234552396904
the lambda is 2.0
the regulation term lambda/alpha is 6.559692394254517
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34035827541931857
the lambda is 2.0
the regulation term lambda/alpha is 5.876160929350158
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34856591124545705
the lambda is 2.0
the regulation term lambda/alpha is 5.737795738125458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33529565766417807
the lambda is 2.0
the regulation term lambda/alpha is 5.964884883785579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3137748108164439
the lambda is 2.0
the regulation term lambda/alpha is 6.37399794711369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31081134534107013
the lambda is 2.0
the regulation term lambda/alpha is 6.4347715422205445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33197481461017825
the lambda is 2.0
the regulation term lambda/alpha is 6.024553405801286
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3073067283468543
the lambda is 2.0
the regulation term lambda/alpha is 6.508155583702737
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28074280544181757
the lambda is 2.0
the regulation term lambda/alpha is 7.123958161109455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3055422537181903
the lambda is 2.0
the regulation term lambda/alpha is 6.5457395030039045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28596964580507556
the lambda is 2.0
the regulation term lambda/alpha is 6.993749264435054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35430074253314614
the lambda is 2.0
the regulation term lambda/alpha is 5.644921841542267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2936113111611466
the lambda is 2.0
the regulation term lambda/alpha is 6.81172667391657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3239538723242829
the lambda is 2.0
the regulation term lambda/alpha is 6.173718454576671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016804413139352
the lambda is 2.0
the regulation term lambda/alpha is 6.629531537706671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31635001852494327
the lambda is 2.0
the regulation term lambda/alpha is 6.322111215056894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30588037762685055
the lambda is 2.0
the regulation term lambda/alpha is 6.5385037625389595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3368994925054458
the lambda is 2.0
the regulation term lambda/alpha is 5.936488610079076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32865189948719337
the lambda is 2.0
the regulation term lambda/alpha is 6.085466121208085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3316811654571135
the lambda is 2.0
the regulation term lambda/alpha is 6.029887157576937
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29561987359215797
the lambda is 2.0
the regulation term lambda/alpha is 6.765445014563645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016200255489804
the lambda is 2.0
the regulation term lambda/alpha is 6.630859460872295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3718965329869093
the lambda is 2.0
the regulation term lambda/alpha is 5.377839862977157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32757095787793455
the lambda is 2.0
the regulation term lambda/alpha is 6.105547368900989
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056199916359887
the lambda is 2.0
the regulation term lambda/alpha is 6.544074519778527
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3596318550709078
the lambda is 2.0
the regulation term lambda/alpha is 5.561242620194656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2924018454219149
the lambda is 2.0
the regulation term lambda/alpha is 6.839902111815141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3164280849571641
the lambda is 2.0
the regulation term lambda/alpha is 6.3205514778207705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2920424912525321
the lambda is 2.0
the regulation term lambda/alpha is 6.848318514960823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31481678232897536
the lambda is 2.0
the regulation term lambda/alpha is 6.352901472419129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3448928287676293
the lambda is 2.0
the regulation term lambda/alpha is 5.798902827717231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3194533524938635
the lambda is 2.0
the regulation term lambda/alpha is 6.260694979053065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3362142617375465
the lambda is 2.0
the regulation term lambda/alpha is 5.948587634754256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30024178064271195
the lambda is 2.0
the regulation term lambda/alpha is 6.661298090221501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3492150473812499
the lambda is 2.0
the regulation term lambda/alpha is 5.727130073569058
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143587876960177
the lambda is 2.0
the regulation term lambda/alpha is 6.36215712198885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3568238281624997
the lambda is 2.0
the regulation term lambda/alpha is 5.605006846933967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30494615137661774
the lambda is 2.0
the regulation term lambda/alpha is 6.558534977311255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3211938567651831
the lambda is 2.0
the regulation term lambda/alpha is 6.226769154748033
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31408927505428985
the lambda is 2.0
the regulation term lambda/alpha is 6.3676163398266405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34937851772125006
the lambda is 2.0
the regulation term lambda/alpha is 5.72445041282043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29468830805332547
the lambda is 2.0
the regulation term lambda/alpha is 6.786831867242215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3226154253476951
the lambda is 2.0
the regulation term lambda/alpha is 6.199331596883574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29269389779590693
the lambda is 2.0
the regulation term lambda/alpha is 6.833077201338115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34606038670607
the lambda is 2.0
the regulation term lambda/alpha is 5.779338164176303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33254031538422696
the lambda is 2.0
the regulation term lambda/alpha is 6.014308363451032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2854436556854312
the lambda is 2.0
the regulation term lambda/alpha is 7.00663672204391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26516012495502084
the lambda is 2.0
the regulation term lambda/alpha is 7.542612224742541
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3063863995043565
the lambda is 2.0
the regulation term lambda/alpha is 6.527704895633144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262420563050545
the lambda is 2.0
the regulation term lambda/alpha is 6.130417465643634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3333596710872761
the lambda is 2.0
the regulation term lambda/alpha is 5.999525957884644
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26297188971376345
the lambda is 2.0
the regulation term lambda/alpha is 7.60537562466063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909116120405278
the lambda is 2.0
the regulation term lambda/alpha is 6.874940419089816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37388108118346125
the lambda is 2.0
the regulation term lambda/alpha is 5.349294469967075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028194058959508
the lambda is 2.0
the regulation term lambda/alpha is 6.604596538595691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32857192901403975
the lambda is 2.0
the regulation term lambda/alpha is 6.086947250793724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33813857646367257
the lambda is 2.0
the regulation term lambda/alpha is 5.914734783935152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3251264529896447
the lambda is 2.0
the regulation term lambda/alpha is 6.151452708967056
850
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3032828140291978
the lambda is 2.0
the regulation term lambda/alpha is 6.594504889444394
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3079921085141371
the lambda is 2.0
the regulation term lambda/alpha is 6.49367287249244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259512647390687
the lambda is 2.0
the regulation term lambda/alpha is 6.135886607468895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3007927827220839
the lambda is 2.0
the regulation term lambda/alpha is 6.649095706022611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27968895865966226
the lambda is 2.0
the regulation term lambda/alpha is 7.150800695116776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30413284372664284
the lambda is 2.0
the regulation term lambda/alpha is 6.576073716647377
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29889828252188694
the lambda is 2.0
the regulation term lambda/alpha is 6.691239518425634
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3253335966703993
the lambda is 2.0
the regulation term lambda/alpha is 6.147536007559133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.333309760139494
the lambda is 2.0
the regulation term lambda/alpha is 6.000424347498786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.360310800453307
the lambda is 2.0
the regulation term lambda/alpha is 5.550763389506504
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31188235930152647
the lambda is 2.0
the regulation term lambda/alpha is 6.412674331690588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.351701010502112
the lambda is 2.0
the regulation term lambda/alpha is 5.686648432271109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31401682599625386
the lambda is 2.0
the regulation term lambda/alpha is 6.369085457936128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3040259340353013
the lambda is 2.0
the regulation term lambda/alpha is 6.57838617072639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3175915584704499
the lambda is 2.0
the regulation term lambda/alpha is 6.297396598424037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.308783994822032
the lambda is 2.0
the regulation term lambda/alpha is 6.477019643303411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32152916093908623
the lambda is 2.0
the regulation term lambda/alpha is 6.220275617174582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31763155525618897
the lambda is 2.0
the regulation term lambda/alpha is 6.296603617946207
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30946845379938176
the lambda is 2.0
the regulation term lambda/alpha is 6.462694259934276
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29193194539330386
the lambda is 2.0
the regulation term lambda/alpha is 6.8509117674857745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30545692692766696
the lambda is 2.0
the regulation term lambda/alpha is 6.547567999574635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2740298274730179
the lambda is 2.0
the regulation term lambda/alpha is 7.2984755653905165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32359037059080004
the lambda is 2.0
the regulation term lambda/alpha is 6.180653634248972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.369247155143388
the lambda is 2.0
the regulation term lambda/alpha is 5.4164262937201215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3523298976095151
the lambda is 2.0
the regulation term lambda/alpha is 5.676498116025869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128692117831339
the lambda is 2.0
the regulation term lambda/alpha is 6.39244746583216
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2703788742926137
the lambda is 2.0
the regulation term lambda/alpha is 7.397027616275702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28101614413649134
the lambda is 2.0
the regulation term lambda/alpha is 7.117028831726434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262511862115249
the lambda is 2.0
the regulation term lambda/alpha is 6.130245910288585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3239102053160478
the lambda is 2.0
the regulation term lambda/alpha is 6.174550746397591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32750479439246627
the lambda is 2.0
the regulation term lambda/alpha is 6.106780829606099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32298881369202337
the lambda is 2.0
the regulation term lambda/alpha is 6.19216491474854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36415515807844645
the lambda is 2.0
the regulation term lambda/alpha is 5.492164412975744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29659457039243625
the lambda is 2.0
the regulation term lambda/alpha is 6.743211776782425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33133086601723305
the lambda is 2.0
the regulation term lambda/alpha is 6.036262253622869
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2978599720148767
the lambda is 2.0
the regulation term lambda/alpha is 6.714564519935259
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31199864698718444
the lambda is 2.0
the regulation term lambda/alpha is 6.410284208963738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27281081001978835
the lambda is 2.0
the regulation term lambda/alpha is 7.331087796172483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3402220217967401
the lambda is 2.0
the regulation term lambda/alpha is 5.878514240312364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31625613630046423
the lambda is 2.0
the regulation term lambda/alpha is 6.323987965564304
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3391969414724824
the lambda is 2.0
the regulation term lambda/alpha is 5.8962795811714335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2749740123049316
the lambda is 2.0
the regulation term lambda/alpha is 7.273414615567765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2999709115290742
the lambda is 2.0
the regulation term lambda/alpha is 6.667313139814736
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33178432575329864
the lambda is 2.0
the regulation term lambda/alpha is 6.028012310283515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30990685044373234
the lambda is 2.0
the regulation term lambda/alpha is 6.4535520822994075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35515193363601283
the lambda is 2.0
the regulation term lambda/alpha is 5.6313926817860285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29875217051396835
the lambda is 2.0
the regulation term lambda/alpha is 6.694512031692465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36630933661335763
the lambda is 2.0
the regulation term lambda/alpha is 5.4598662935829445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30156902804465174
the lambda is 2.0
the regulation term lambda/alpha is 6.631980787177755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36470648755886087
the lambda is 2.0
the regulation term lambda/alpha is 5.483861867626402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36041020384622474
the lambda is 2.0
the regulation term lambda/alpha is 5.549232454176948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28359276137400585
the lambda is 2.0
the regulation term lambda/alpha is 7.052366182796795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3652665806820634
the lambda is 2.0
the regulation term lambda/alpha is 5.475453013701373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31242283404270077
the lambda is 2.0
the regulation term lambda/alpha is 6.401580749141555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3054320458910138
the lambda is 2.0
the regulation term lambda/alpha is 6.54810137608695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36093661373081143
the lambda is 2.0
the regulation term lambda/alpha is 5.541139147195556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303391158934663
the lambda is 2.0
the regulation term lambda/alpha is 6.5921499064866005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29894189260744475
the lambda is 2.0
the regulation term lambda/alpha is 6.690263390505452
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30254109333169743
the lambda is 2.0
the regulation term lambda/alpha is 6.610672216376428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3226037161806526
the lambda is 2.0
the regulation term lambda/alpha is 6.199556606719415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3101618864708802
the lambda is 2.0
the regulation term lambda/alpha is 6.448245536408844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31618742698848723
the lambda is 2.0
the regulation term lambda/alpha is 6.32536220383242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3305903904575526
the lambda is 2.0
the regulation term lambda/alpha is 6.049782624449265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3609374179303007
the lambda is 2.0
the regulation term lambda/alpha is 5.541126801062816
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3801863582556069
the lambda is 2.0
the regulation term lambda/alpha is 5.260578020675218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34360167383594004
the lambda is 2.0
the regulation term lambda/alpha is 5.820693414185586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26946299300355897
the lambda is 2.0
the regulation term lambda/alpha is 7.422169470126774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30024493889422793
the lambda is 2.0
the regulation term lambda/alpha is 6.661228020581462
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33976348338020934
the lambda is 2.0
the regulation term lambda/alpha is 5.886447772734651
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31499458514350326
the lambda is 2.0
the regulation term lambda/alpha is 6.349315494070645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3229094677580781
the lambda is 2.0
the regulation term lambda/alpha is 6.193686465391558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.25543503968575204
the lambda is 2.0
the regulation term lambda/alpha is 7.829779353922986
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33099884260768164
the lambda is 2.0
the regulation term lambda/alpha is 6.04231720039732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29308093035451094
the lambda is 2.0
the regulation term lambda/alpha is 6.8240536754841
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3091143895300997
the lambda is 2.0
the regulation term lambda/alpha is 6.4700967271057825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30839899970230483
the lambda is 2.0
the regulation term lambda/alpha is 6.485105340583415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324629601481965
the lambda is 2.0
the regulation term lambda/alpha is 6.1608676191875595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35082345258196795
the lambda is 2.0
the regulation term lambda/alpha is 5.700873146537178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3183347747821623
the lambda is 2.0
the regulation term lambda/alpha is 6.282694064349732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.338817524228699
the lambda is 2.0
the regulation term lambda/alpha is 5.902882398284738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2980681878634399
the lambda is 2.0
the regulation term lambda/alpha is 6.709874053772894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3805899197164318
the lambda is 2.0
the regulation term lambda/alpha is 5.254999926141372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31356346207011215
the lambda is 2.0
the regulation term lambda/alpha is 6.378294163472414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2967382644287427
the lambda is 2.0
the regulation term lambda/alpha is 6.739946409844526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3353077322261415
the lambda is 2.0
the regulation term lambda/alpha is 5.964670085958949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3455992202254467
the lambda is 2.0
the regulation term lambda/alpha is 5.787050094312506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29644478835296484
the lambda is 2.0
the regulation term lambda/alpha is 6.7466188598285655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28485895431033953
the lambda is 2.0
the regulation term lambda/alpha is 7.021018541762603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30372939056262505
the lambda is 2.0
the regulation term lambda/alpha is 6.584808919200152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26772962147577084
the lambda is 2.0
the regulation term lambda/alpha is 7.470223089158617
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3434121644549179
the lambda is 2.0
the regulation term lambda/alpha is 5.823905519405542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2847589346448791
the lambda is 2.0
the regulation term lambda/alpha is 7.023484627424197
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30188924763671227
the lambda is 2.0
the regulation term lambda/alpha is 6.624946120660653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3346033325206047
the lambda is 2.0
the regulation term lambda/alpha is 5.977226780539733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3750492981684479
the lambda is 2.0
the regulation term lambda/alpha is 5.332632295986138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30439128020101297
the lambda is 2.0
the regulation term lambda/alpha is 6.5704904512351545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32366879485441463
the lambda is 2.0
the regulation term lambda/alpha is 6.179156074961118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.343820474978412
the lambda is 2.0
the regulation term lambda/alpha is 5.816989229991544
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31871778448208
the lambda is 2.0
the regulation term lambda/alpha is 6.2751440220068755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31443974795418933
the lambda is 2.0
the regulation term lambda/alpha is 6.3605190279295725
860
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.315145486448069
the lambda is 2.0
the regulation term lambda/alpha is 6.346275247478654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31901027618384675
the lambda is 2.0
the regulation term lambda/alpha is 6.269390515957526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27437214326058007
the lambda is 2.0
the regulation term lambda/alpha is 7.289369745165914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3188642547663259
the lambda is 2.0
the regulation term lambda/alpha is 6.272261534820405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3240380611441389
the lambda is 2.0
the regulation term lambda/alpha is 6.172114451426612
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3127429085469195
the lambda is 2.0
the regulation term lambda/alpha is 6.395029096878622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34539037092398167
the lambda is 2.0
the regulation term lambda/alpha is 5.790549385177237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.309834748270317
the lambda is 2.0
the regulation term lambda/alpha is 6.455053899426056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31282673083785323
the lambda is 2.0
the regulation term lambda/alpha is 6.393315541300899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970037378020252
the lambda is 2.0
the regulation term lambda/alpha is 6.733921986305596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27811896071689624
the lambda is 2.0
the regulation term lambda/alpha is 7.191167386950818
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3256990267184858
the lambda is 2.0
the regulation term lambda/alpha is 6.140638552563675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3220195398013772
the lambda is 2.0
the regulation term lambda/alpha is 6.210803236454555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32815229109587063
the lambda is 2.0
the regulation term lambda/alpha is 6.094731178993031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31533570130820243
the lambda is 2.0
the regulation term lambda/alpha is 6.342447086399654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245356814245625
the lambda is 2.0
the regulation term lambda/alpha is 6.162650563478626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30377225187428736
the lambda is 2.0
the regulation term lambda/alpha is 6.583879823321311
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3009098126192017
the lambda is 2.0
the regulation term lambda/alpha is 6.646509738554055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30180624665140293
the lambda is 2.0
the regulation term lambda/alpha is 6.626768074519252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37524851608502674
the lambda is 2.0
the regulation term lambda/alpha is 5.329801223109499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30049899099084687
the lambda is 2.0
the regulation term lambda/alpha is 6.655596391206916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.285941321784175
the lambda is 2.0
the regulation term lambda/alpha is 6.994442032794321
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3015626676410818
the lambda is 2.0
the regulation term lambda/alpha is 6.632120665481009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2651127135454981
the lambda is 2.0
the regulation term lambda/alpha is 7.543961107156652
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.328030712864044
the lambda is 2.0
the regulation term lambda/alpha is 6.096990073087828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31639751464612487
the lambda is 2.0
the regulation term lambda/alpha is 6.321162169168434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34846067451823476
the lambda is 2.0
the regulation term lambda/alpha is 5.73952857884209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2872312694561515
the lambda is 2.0
the regulation term lambda/alpha is 6.963030187440363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3421237081471098
the lambda is 2.0
the regulation term lambda/alpha is 5.845838661201521
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3373541702791838
the lambda is 2.0
the regulation term lambda/alpha is 5.928487554622083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26235564493203045
the lambda is 2.0
the regulation term lambda/alpha is 7.623239822105402
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208375921631583
the lambda is 2.0
the regulation term lambda/alpha is 6.2336834861387524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32275167343231126
the lambda is 2.0
the regulation term lambda/alpha is 6.196714578520838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33424329917037415
the lambda is 2.0
the regulation term lambda/alpha is 5.983665207243356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262497794407025
the lambda is 2.0
the regulation term lambda/alpha is 6.130272343566473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2768290178527803
the lambda is 2.0
the regulation term lambda/alpha is 7.224676139492048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3274228846444821
the lambda is 2.0
the regulation term lambda/alpha is 6.1083085324705175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33662755887221146
the lambda is 2.0
the regulation term lambda/alpha is 5.941284209470289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3317299359208469
the lambda is 2.0
the regulation term lambda/alpha is 6.029000652136545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31486883129028403
the lambda is 2.0
the regulation term lambda/alpha is 6.351851314734163
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2919759435574671
the lambda is 2.0
the regulation term lambda/alpha is 6.849879396335806
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2774767085105225
the lambda is 2.0
the regulation term lambda/alpha is 7.207812182636425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34598744382983065
the lambda is 2.0
the regulation term lambda/alpha is 5.780556594370729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3326792622658454
the lambda is 2.0
the regulation term lambda/alpha is 6.011796426318247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3133296827158726
the lambda is 2.0
the regulation term lambda/alpha is 6.3830530917608606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32459129957779986
the lambda is 2.0
the regulation term lambda/alpha is 6.161594604049542
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30752170681050967
the lambda is 2.0
the regulation term lambda/alpha is 6.503605942953388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26069174324491257
the lambda is 2.0
the regulation term lambda/alpha is 7.6718962215886375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31425421101255535
the lambda is 2.0
the regulation term lambda/alpha is 6.364274303774069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32697597808560147
the lambda is 2.0
the regulation term lambda/alpha is 6.116657289962767
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34153588801168694
the lambda is 2.0
the regulation term lambda/alpha is 5.8558999806531675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132250867888954
the lambda is 2.0
the regulation term lambda/alpha is 6.385184598409712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30579710768493595
the lambda is 2.0
the regulation term lambda/alpha is 6.540284226823389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3456883370129541
the lambda is 2.0
the regulation term lambda/alpha is 5.785558220684354
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33003044773028833
the lambda is 2.0
the regulation term lambda/alpha is 6.060046925229352
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31874060779097046
the lambda is 2.0
the regulation term lambda/alpha is 6.274694692530662
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2703612871606156
the lambda is 2.0
the regulation term lambda/alpha is 7.397508796486254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32201555625738026
the lambda is 2.0
the regulation term lambda/alpha is 6.2108800681711225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27595363120747113
the lambda is 2.0
the regulation term lambda/alpha is 7.247594428269485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33833093038893197
the lambda is 2.0
the regulation term lambda/alpha is 5.911372033591131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2744780942266735
the lambda is 2.0
the regulation term lambda/alpha is 7.286555984130124
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32115007924016736
the lambda is 2.0
the regulation term lambda/alpha is 6.227617955853996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3228688638880801
the lambda is 2.0
the regulation term lambda/alpha is 6.194465381131591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3522384943758297
the lambda is 2.0
the regulation term lambda/alpha is 5.6779711244905835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33514650998913376
the lambda is 2.0
the regulation term lambda/alpha is 5.967539390652896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32258834406967346
the lambda is 2.0
the regulation term lambda/alpha is 6.199852030512407
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32695947914230117
the lambda is 2.0
the regulation term lambda/alpha is 6.116965947115265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29087518718986155
the lambda is 2.0
the regulation term lambda/alpha is 6.875801333630255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3173488957506935
the lambda is 2.0
the regulation term lambda/alpha is 6.302211940170676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30190172629068124
the lambda is 2.0
the regulation term lambda/alpha is 6.624672288472879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2886489833878776
the lambda is 2.0
the regulation term lambda/alpha is 6.928830916104291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332469187880198
the lambda is 2.0
the regulation term lambda/alpha is 6.015595047324146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31793829483097774
the lambda is 2.0
the regulation term lambda/alpha is 6.290528799191175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30876081519599885
the lambda is 2.0
the regulation term lambda/alpha is 6.477505893130954
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36491903133966486
the lambda is 2.0
the regulation term lambda/alpha is 5.48066784200797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2745734474042303
the lambda is 2.0
the regulation term lambda/alpha is 7.284025527259292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29597724879942006
the lambda is 2.0
the regulation term lambda/alpha is 6.757276135624107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36390919312346853
the lambda is 2.0
the regulation term lambda/alpha is 5.495876547755781
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31473184486419475
the lambda is 2.0
the regulation term lambda/alpha is 6.354615945720364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27991370843620256
the lambda is 2.0
the regulation term lambda/alpha is 7.1450591368798095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3270052325015783
the lambda is 2.0
the regulation term lambda/alpha is 6.116110083927623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31576616040355543
the lambda is 2.0
the regulation term lambda/alpha is 6.3338009286491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34109144296125454
the lambda is 2.0
the regulation term lambda/alpha is 5.8635302681198755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30423685704859893
the lambda is 2.0
the regulation term lambda/alpha is 6.5738254707269705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34237081129092334
the lambda is 2.0
the regulation term lambda/alpha is 5.8416194781877495
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3363659996801794
the lambda is 2.0
the regulation term lambda/alpha is 5.945904169570119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3429933205160578
the lambda is 2.0
the regulation term lambda/alpha is 5.8310173416521875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3159621707615267
the lambda is 2.0
the regulation term lambda/alpha is 6.329871690587622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3181796896450927
the lambda is 2.0
the regulation term lambda/alpha is 6.285756335455795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078594923054997
the lambda is 2.0
the regulation term lambda/alpha is 6.496470142994098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2863798819254468
the lambda is 2.0
the regulation term lambda/alpha is 6.98373079335461
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30488197431209724
the lambda is 2.0
the regulation term lambda/alpha is 6.559915536209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3876965061714337
the lambda is 2.0
the regulation term lambda/alpha is 5.158674293328889
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30260267533592444
the lambda is 2.0
the regulation term lambda/alpha is 6.609326893028178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34660947611376625
the lambda is 2.0
the regulation term lambda/alpha is 5.770182692130287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32412043771107824
the lambda is 2.0
the regulation term lambda/alpha is 6.170545782684661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39363965973984305
the lambda is 2.0
the regulation term lambda/alpha is 5.080788864927387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3394113879359631
the lambda is 2.0
the regulation term lambda/alpha is 5.892554201444004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3039506559146105
the lambda is 2.0
the regulation term lambda/alpha is 6.580015410665421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3253368134097756
the lambda is 2.0
the regulation term lambda/alpha is 6.147475224332866
870
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2847469272462628
the lambda is 2.0
the regulation term lambda/alpha is 7.023780798415092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3370495051235725
the lambda is 2.0
the regulation term lambda/alpha is 5.933846421957331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33238358102901205
the lambda is 2.0
the regulation term lambda/alpha is 6.017144390250222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35992357608745007
the lambda is 2.0
the regulation term lambda/alpha is 5.556735187344502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2922776295269616
the lambda is 2.0
the regulation term lambda/alpha is 6.842809021124577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3082063765740505
the lambda is 2.0
the regulation term lambda/alpha is 6.48915840817938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34201666686555393
the lambda is 2.0
the regulation term lambda/alpha is 5.8476682388878904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3027342918507163
the lambda is 2.0
the regulation term lambda/alpha is 6.606453427437403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3487988043909275
the lambda is 2.0
the regulation term lambda/alpha is 5.733964608887924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31075974729237354
the lambda is 2.0
the regulation term lambda/alpha is 6.435839961339429
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2999081756210099
the lambda is 2.0
the regulation term lambda/alpha is 6.668707833184828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32137299932935365
the lambda is 2.0
the regulation term lambda/alpha is 6.223298174313437
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32916357188257633
the lambda is 2.0
the regulation term lambda/alpha is 6.0760064929465125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2934196478984476
the lambda is 2.0
the regulation term lambda/alpha is 6.816176129732795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2965673447276638
the lambda is 2.0
the regulation term lambda/alpha is 6.74383082141626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3117434357860502
the lambda is 2.0
the regulation term lambda/alpha is 6.415532038251487
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3198207534583647
the lambda is 2.0
the regulation term lambda/alpha is 6.253502871133616
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3031513445198495
the lambda is 2.0
the regulation term lambda/alpha is 6.597364768966234
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3013543882298087
the lambda is 2.0
the regulation term lambda/alpha is 6.636704418834703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3082772812901337
the lambda is 2.0
the regulation term lambda/alpha is 6.487665881929552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056154741488225
the lambda is 2.0
the regulation term lambda/alpha is 6.544171251702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259820093575327
the lambda is 2.0
the regulation term lambda/alpha is 6.13530790837732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304695173875469
the lambda is 2.0
the regulation term lambda/alpha is 6.051995402815225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3283698763175711
the lambda is 2.0
the regulation term lambda/alpha is 6.090692673848596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32101076626811736
the lambda is 2.0
the regulation term lambda/alpha is 6.230320631456775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32573315482324
the lambda is 2.0
the regulation term lambda/alpha is 6.139995178216677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26685936390952836
the lambda is 2.0
the regulation term lambda/alpha is 7.494584303506199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2985522930605547
the lambda is 2.0
the regulation term lambda/alpha is 6.698993933348703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2660801408810737
the lambda is 2.0
the regulation term lambda/alpha is 7.516532400266255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2994523561078262
the lambda is 2.0
the regulation term lambda/alpha is 6.678858787405379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3361038527405213
the lambda is 2.0
the regulation term lambda/alpha is 5.950541725994551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30719169529005547
the lambda is 2.0
the regulation term lambda/alpha is 6.510592671170902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171601533778766
the lambda is 2.0
the regulation term lambda/alpha is 6.305962393759862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31125030548664756
the lambda is 2.0
the regulation term lambda/alpha is 6.42569650453178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148560029460401
the lambda is 2.0
the regulation term lambda/alpha is 6.352110111563473
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32539765096517775
the lambda is 2.0
the regulation term lambda/alpha is 6.146325869494457
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3087228289854551
the lambda is 2.0
the regulation term lambda/alpha is 6.478302905465492
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35395467404885833
the lambda is 2.0
the regulation term lambda/alpha is 5.650440993255336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3355079437809151
the lambda is 2.0
the regulation term lambda/alpha is 5.9611107190534645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28919754987416985
the lambda is 2.0
the regulation term lambda/alpha is 6.915687912536611
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34202413231686807
the lambda is 2.0
the regulation term lambda/alpha is 5.8475406002846055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3391532950458209
the lambda is 2.0
the regulation term lambda/alpha is 5.897038387109853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30868856045237186
the lambda is 2.0
the regulation term lambda/alpha is 6.479022083193082
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29769090612298055
the lambda is 2.0
the regulation term lambda/alpha is 6.718377884119074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27936219674329466
the lambda is 2.0
the regulation term lambda/alpha is 7.159164780758779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3224235187562534
the lambda is 2.0
the regulation term lambda/alpha is 6.203021441224222
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3066709639337259
the lambda is 2.0
the regulation term lambda/alpha is 6.521647743710801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2727536599839247
the lambda is 2.0
the regulation term lambda/alpha is 7.3326238779632655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3379652733036956
the lambda is 2.0
the regulation term lambda/alpha is 5.917767764863818
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128727147541175
the lambda is 2.0
the regulation term lambda/alpha is 6.392375895008209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36750812909073677
the lambda is 2.0
the regulation term lambda/alpha is 5.442056492595856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148418359800989
the lambda is 2.0
the regulation term lambda/alpha is 6.352395938024004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2686389596867753
the lambda is 2.0
the regulation term lambda/alpha is 7.444936513795088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32855389419504755
the lambda is 2.0
the regulation term lambda/alpha is 6.087281372512635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30988772258118263
the lambda is 2.0
the regulation term lambda/alpha is 6.4539504286945455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29195804430623806
the lambda is 2.0
the regulation term lambda/alpha is 6.850299346101173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36739191372923735
the lambda is 2.0
the regulation term lambda/alpha is 5.443777952810284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33980087674612786
the lambda is 2.0
the regulation term lambda/alpha is 5.885799998963042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3384816998300947
the lambda is 2.0
the regulation term lambda/alpha is 5.908738939221607
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3646617223563139
the lambda is 2.0
the regulation term lambda/alpha is 5.4845350564263065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3536787313644729
the lambda is 2.0
the regulation term lambda/alpha is 5.654849507868655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3580381457964937
the lambda is 2.0
the regulation term lambda/alpha is 5.585996976804772
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28794317948923476
the lambda is 2.0
the regulation term lambda/alpha is 6.945814808142637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31060726561307056
the lambda is 2.0
the regulation term lambda/alpha is 6.4389994099218475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3032727809334778
the lambda is 2.0
the regulation term lambda/alpha is 6.594723053760289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2955409971215664
the lambda is 2.0
the regulation term lambda/alpha is 6.767250633513054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3046704917125426
the lambda is 2.0
the regulation term lambda/alpha is 6.564469006361814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3515034921061153
the lambda is 2.0
the regulation term lambda/alpha is 5.689843898894241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3052423834630744
the lambda is 2.0
the regulation term lambda/alpha is 6.5521700404424426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32729034748238195
the lambda is 2.0
the regulation term lambda/alpha is 6.110782109477458
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2816500636432233
the lambda is 2.0
the regulation term lambda/alpha is 7.101010289610568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2721982363632225
the lambda is 2.0
the regulation term lambda/alpha is 7.347586181018423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29527953991168915
the lambda is 2.0
the regulation term lambda/alpha is 6.773242740076576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3412861400555508
the lambda is 2.0
the regulation term lambda/alpha is 5.86018523832952
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191940668238698
the lambda is 2.0
the regulation term lambda/alpha is 6.265780626503917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3667907158100889
the lambda is 2.0
the regulation term lambda/alpha is 5.452700719490208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29067319940810815
the lambda is 2.0
the regulation term lambda/alpha is 6.880579303742343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30447918138387264
the lambda is 2.0
the regulation term lambda/alpha is 6.568593592868659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32800603741585466
the lambda is 2.0
the regulation term lambda/alpha is 6.097448741360658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.293305012292016
the lambda is 2.0
the regulation term lambda/alpha is 6.818840170412054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3210283232202061
the lambda is 2.0
the regulation term lambda/alpha is 6.229979896908101
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28945186785952337
the lambda is 2.0
the regulation term lambda/alpha is 6.909611655954623
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32586203360340593
the lambda is 2.0
the regulation term lambda/alpha is 6.137566803606592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.301353075797486
the lambda is 2.0
the regulation term lambda/alpha is 6.6367333225562675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.389856349011728
the lambda is 2.0
the regulation term lambda/alpha is 5.130094726095725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31396254635972554
the lambda is 2.0
the regulation term lambda/alpha is 6.370186581772978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3345267375520069
the lambda is 2.0
the regulation term lambda/alpha is 5.978595357236794
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33511134907813184
the lambda is 2.0
the regulation term lambda/alpha is 5.9681655231965784
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.370712852338653
the lambda is 2.0
the regulation term lambda/alpha is 5.395011226028289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33300089759618284
the lambda is 2.0
the regulation term lambda/alpha is 6.005989816956355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3260819705745242
the lambda is 2.0
the regulation term lambda/alpha is 6.133427114894447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30708610515457924
the lambda is 2.0
the regulation term lambda/alpha is 6.5128313083174225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28185988636942416
the lambda is 2.0
the regulation term lambda/alpha is 7.095724140677003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316890138114109
the lambda is 2.0
the regulation term lambda/alpha is 6.311335568542748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30880051834992306
the lambda is 2.0
the regulation term lambda/alpha is 6.476673066117275
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3507615877076438
the lambda is 2.0
the regulation term lambda/alpha is 5.701878626649904
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3289467371543956
the lambda is 2.0
the regulation term lambda/alpha is 6.0800116678502665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28622567290412704
the lambda is 2.0
the regulation term lambda/alpha is 6.987493398853539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33334534913262287
the lambda is 2.0
the regulation term lambda/alpha is 5.999783723408997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38249898491729456
the lambda is 2.0
the regulation term lambda/alpha is 5.228772046107385
880
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.302148461322628
the lambda is 2.0
the regulation term lambda/alpha is 6.6192625679613855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30463157738746516
the lambda is 2.0
the regulation term lambda/alpha is 6.565307566444998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31957958447428286
the lambda is 2.0
the regulation term lambda/alpha is 6.258222042844365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32398124703835335
the lambda is 2.0
the regulation term lambda/alpha is 6.1731968077869555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31767355502266287
the lambda is 2.0
the regulation term lambda/alpha is 6.295771141092684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3039817804230364
the lambda is 2.0
the regulation term lambda/alpha is 6.579341686915245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3337081199229252
the lambda is 2.0
the regulation term lambda/alpha is 5.9932614179778705
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2844128408650002
the lambda is 2.0
the regulation term lambda/alpha is 7.0320313032185595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3124197725761517
the lambda is 2.0
the regulation term lambda/alpha is 6.401643479567235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3182336511747388
the lambda is 2.0
the regulation term lambda/alpha is 6.284690486430741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34029365922295857
the lambda is 2.0
the regulation term lambda/alpha is 5.877276716136549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305808390141792
the lambda is 2.0
the regulation term lambda/alpha is 6.54004293038747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2810500216262156
the lambda is 2.0
the regulation term lambda/alpha is 7.116170952158522
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31559352729522544
the lambda is 2.0
the regulation term lambda/alpha is 6.3372655869747225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36309205990041676
the lambda is 2.0
the regulation term lambda/alpha is 5.508244935316208
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3702217388634046
the lambda is 2.0
the regulation term lambda/alpha is 5.402167917367789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282229799916794
the lambda is 2.0
the regulation term lambda/alpha is 6.093418565789333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32856735881568233
the lambda is 2.0
the regulation term lambda/alpha is 6.087031917013849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025961239911742
the lambda is 2.0
the regulation term lambda/alpha is 6.609469987984162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.311109622804497
the lambda is 2.0
the regulation term lambda/alpha is 6.428602181992972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3417930122723235
the lambda is 2.0
the regulation term lambda/alpha is 5.851494700560176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3261544254272128
the lambda is 2.0
the regulation term lambda/alpha is 6.132064580697636
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35445981030068213
the lambda is 2.0
the regulation term lambda/alpha is 5.6423886203161775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2869200489937906
the lambda is 2.0
the regulation term lambda/alpha is 6.970582944670009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28902309414525834
the lambda is 2.0
the regulation term lambda/alpha is 6.919862255003167
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29527847957229647
the lambda is 2.0
the regulation term lambda/alpha is 6.773267062662169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32257973855602673
the lambda is 2.0
the regulation term lambda/alpha is 6.200017425002139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2886530726429021
the lambda is 2.0
the regulation term lambda/alpha is 6.928732757590411
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3376741512334401
the lambda is 2.0
the regulation term lambda/alpha is 5.922869703512973
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2877694206822021
the lambda is 2.0
the regulation term lambda/alpha is 6.950008778760054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968987409629839
the lambda is 2.0
the regulation term lambda/alpha is 6.736303406046951
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31804155788239696
the lambda is 2.0
the regulation term lambda/alpha is 6.288486364223965
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3849814040034406
the lambda is 2.0
the regulation term lambda/alpha is 5.195056122716322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3423662460628406
the lambda is 2.0
the regulation term lambda/alpha is 5.8416973723306365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29499395158795705
the lambda is 2.0
the regulation term lambda/alpha is 6.779800023810552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3202165644657388
the lambda is 2.0
the regulation term lambda/alpha is 6.245773085901643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28943939519799017
the lambda is 2.0
the regulation term lambda/alpha is 6.909909408261117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2956138148523595
the lambda is 2.0
the regulation term lambda/alpha is 6.76558367544113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28770842172691063
the lambda is 2.0
the regulation term lambda/alpha is 6.951482295844562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3346806603020008
the lambda is 2.0
the regulation term lambda/alpha is 5.975845745599074
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3377900483134173
the lambda is 2.0
the regulation term lambda/alpha is 5.920837543870763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32929441101251933
the lambda is 2.0
the regulation term lambda/alpha is 6.07359230255494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3418134238341758
the lambda is 2.0
the regulation term lambda/alpha is 5.851145275588303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3510978794391253
the lambda is 2.0
the regulation term lambda/alpha is 5.696417201935188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30199015213512653
the lambda is 2.0
the regulation term lambda/alpha is 6.622732515810957
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3265049640900559
the lambda is 2.0
the regulation term lambda/alpha is 6.125481141071914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3147070223035184
the lambda is 2.0
the regulation term lambda/alpha is 6.355117166947438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29263443385330046
the lambda is 2.0
the regulation term lambda/alpha is 6.834465697234431
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3468428648603059
the lambda is 2.0
the regulation term lambda/alpha is 5.766299966428654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37468113266809977
the lambda is 2.0
the regulation term lambda/alpha is 5.337872194839448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3479601063686978
the lambda is 2.0
the regulation term lambda/alpha is 5.747785344911938
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3071612000396705
the lambda is 2.0
the regulation term lambda/alpha is 6.511239048882788
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36230174512898394
the lambda is 2.0
the regulation term lambda/alpha is 5.5202604649005345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33210304322448597
the lambda is 2.0
the regulation term lambda/alpha is 6.022227259893233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2759064648636581
the lambda is 2.0
the regulation term lambda/alpha is 7.248833408047614
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.322777490709251
the lambda is 2.0
the regulation term lambda/alpha is 6.196218935853691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3045760761832112
the lambda is 2.0
the regulation term lambda/alpha is 6.566503925925367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31893840957691194
the lambda is 2.0
the regulation term lambda/alpha is 6.270803201950815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3209557377624713
the lambda is 2.0
the regulation term lambda/alpha is 6.231388832438115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30867495607253875
the lambda is 2.0
the regulation term lambda/alpha is 6.479307636250215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2993026240727023
the lambda is 2.0
the regulation term lambda/alpha is 6.682200018113401
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2819828954666654
the lambda is 2.0
the regulation term lambda/alpha is 7.092628780515626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3298538265990102
the lambda is 2.0
the regulation term lambda/alpha is 6.063291793886988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3188963653108926
the lambda is 2.0
the regulation term lambda/alpha is 6.271629963703715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2854145817683867
the lambda is 2.0
the regulation term lambda/alpha is 7.00735045703795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32627209355897835
the lambda is 2.0
the regulation term lambda/alpha is 6.129853087292835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32808408522070825
the lambda is 2.0
the regulation term lambda/alpha is 6.095998221475945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31041784213298573
the lambda is 2.0
the regulation term lambda/alpha is 6.442928622457154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2824528844452015
the lambda is 2.0
the regulation term lambda/alpha is 7.080826963153278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31449786994060347
the lambda is 2.0
the regulation term lambda/alpha is 6.359343547788489
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28222440873736887
the lambda is 2.0
the regulation term lambda/alpha is 7.086559270148569
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30614804039039767
the lambda is 2.0
the regulation term lambda/alpha is 6.532787201412804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33357368768698364
the lambda is 2.0
the regulation term lambda/alpha is 5.99567673897812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36054779254165314
the lambda is 2.0
the regulation term lambda/alpha is 5.547114810774899
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2919434176605662
the lambda is 2.0
the regulation term lambda/alpha is 6.8506425526789565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30841633721520506
the lambda is 2.0
the regulation term lambda/alpha is 6.48474078273114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3179040352873567
the lambda is 2.0
the regulation term lambda/alpha is 6.291206710201648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38071300202676
the lambda is 2.0
the regulation term lambda/alpha is 5.2533010150765005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29785512212308213
the lambda is 2.0
the regulation term lambda/alpha is 6.7146738513146795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3382559332425524
the lambda is 2.0
the regulation term lambda/alpha is 5.912682686236474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32911688831644154
the lambda is 2.0
the regulation term lambda/alpha is 6.076868343738795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30375679244418685
the lambda is 2.0
the regulation term lambda/alpha is 6.584214903992594
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34523934547745255
the lambda is 2.0
the regulation term lambda/alpha is 5.793082469305687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.306898602426428
the lambda is 2.0
the regulation term lambda/alpha is 6.516810386842523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222527289425093
the lambda is 2.0
the regulation term lambda/alpha is 6.206308963040016
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2614878706162419
the lambda is 2.0
the regulation term lambda/alpha is 7.648538325263998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3300249217053262
the lambda is 2.0
the regulation term lambda/alpha is 6.060148396264955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3319567135094135
the lambda is 2.0
the regulation term lambda/alpha is 6.024881915645561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3457803643324248
the lambda is 2.0
the regulation term lambda/alpha is 5.784018429910753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3064032387500464
the lambda is 2.0
the regulation term lambda/alpha is 6.527346147380426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3156118672901269
the lambda is 2.0
the regulation term lambda/alpha is 6.336897332702308
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.40076900027018636
the lambda is 2.0
the regulation term lambda/alpha is 4.99040594120718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26548631882991763
the lambda is 2.0
the regulation term lambda/alpha is 7.533344877486094
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089806221482648
the lambda is 2.0
the regulation term lambda/alpha is 6.472897834480691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3386389049626989
the lambda is 2.0
the regulation term lambda/alpha is 5.905995946391039
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33320786500000116
the lambda is 2.0
the regulation term lambda/alpha is 6.00225928040442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30909009042400976
the lambda is 2.0
the regulation term lambda/alpha is 6.470605373522005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.334239777368119
the lambda is 2.0
the regulation term lambda/alpha is 5.983728255650661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30424079443337804
the lambda is 2.0
the regulation term lambda/alpha is 6.5737403944294375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3670803458136815
the lambda is 2.0
the regulation term lambda/alpha is 5.448398484987637
890
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34314474369982106
the lambda is 2.0
the regulation term lambda/alpha is 5.8284442257101166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2894603594338109
the lambda is 2.0
the regulation term lambda/alpha is 6.9094089564181855
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28199872560671657
the lambda is 2.0
the regulation term lambda/alpha is 7.0922306322378805
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3816075717540405
the lambda is 2.0
the regulation term lambda/alpha is 5.240986154459929
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2597391219676597
the lambda is 2.0
the regulation term lambda/alpha is 7.700033729416478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30208559834418547
the lambda is 2.0
the regulation term lambda/alpha is 6.620640013832344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2750047994108017
the lambda is 2.0
the regulation term lambda/alpha is 7.272600348375751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30378075548558536
the lambda is 2.0
the regulation term lambda/alpha is 6.5836955234476715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2873733499670255
the lambda is 2.0
the regulation term lambda/alpha is 6.959587589557239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2819032385429522
the lambda is 2.0
the regulation term lambda/alpha is 7.09463293269428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3294862655979924
the lambda is 2.0
the regulation term lambda/alpha is 6.070055746846239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.307343187160723
the lambda is 2.0
the regulation term lambda/alpha is 6.50738354891242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32574222809544934
the lambda is 2.0
the regulation term lambda/alpha is 6.139824153882676
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3347343039464909
the lambda is 2.0
the regulation term lambda/alpha is 5.974888072181902
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3155188427591802
the lambda is 2.0
the regulation term lambda/alpha is 6.338765642362921
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30218373165640083
the lambda is 2.0
the regulation term lambda/alpha is 6.618489979712434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30623450484010967
the lambda is 2.0
the regulation term lambda/alpha is 6.530942687350776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.312589660404227
the lambda is 2.0
the regulation term lambda/alpha is 6.39816428161344
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2903704542788244
the lambda is 2.0
the regulation term lambda/alpha is 6.887753111683761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3060106017598545
the lambda is 2.0
the regulation term lambda/alpha is 6.535721274028028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33722521115101534
the lambda is 2.0
the regulation term lambda/alpha is 5.930754682230342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31354968341686146
the lambda is 2.0
the regulation term lambda/alpha is 6.37857445175927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34917918236776824
the lambda is 2.0
the regulation term lambda/alpha is 5.727718320542738
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31382624195100967
the lambda is 2.0
the regulation term lambda/alpha is 6.372953350128741
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3765595165568632
the lambda is 2.0
the regulation term lambda/alpha is 5.311245399631231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32214149632869304
the lambda is 2.0
the regulation term lambda/alpha is 6.208451946716374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29164999805453273
the lambda is 2.0
the regulation term lambda/alpha is 6.857534762013062
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3260254129888095
the lambda is 2.0
the regulation term lambda/alpha is 6.134491117318661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3342341431388075
the lambda is 2.0
the regulation term lambda/alpha is 5.983829124152046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32052728119883006
the lambda is 2.0
the regulation term lambda/alpha is 6.239718480497628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30660235186318624
the lambda is 2.0
the regulation term lambda/alpha is 6.523107170725327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3052291502813198
the lambda is 2.0
the regulation term lambda/alpha is 6.552454109172289
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34195462873120824
the lambda is 2.0
the regulation term lambda/alpha is 5.848729135268089
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3443866167939828
the lambda is 2.0
the regulation term lambda/alpha is 5.807426602748706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3395356351303706
the lambda is 2.0
the regulation term lambda/alpha is 5.890397923128349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3040347826681043
the lambda is 2.0
the regulation term lambda/alpha is 6.578194713278166
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3537658579434971
the lambda is 2.0
the regulation term lambda/alpha is 5.653456813572543
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.276047854636952
the lambda is 2.0
the regulation term lambda/alpha is 7.245120606462697
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3389431896561779
the lambda is 2.0
the regulation term lambda/alpha is 5.900693865626239
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3609289741582394
the lambda is 2.0
the regulation term lambda/alpha is 5.541256433248152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3162822512502119
the lambda is 2.0
the regulation term lambda/alpha is 6.323465803390255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3130740375204289
the lambda is 2.0
the regulation term lambda/alpha is 6.388265267347488
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35858384552539474
the lambda is 2.0
the regulation term lambda/alpha is 5.577496100164838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2851482113847384
the lambda is 2.0
the regulation term lambda/alpha is 7.0138963533651095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27677618108125884
the lambda is 2.0
the regulation term lambda/alpha is 7.226055335349898
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36757459920586144
the lambda is 2.0
the regulation term lambda/alpha is 5.441072381826615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3150081799433914
the lambda is 2.0
the regulation term lambda/alpha is 6.349041476825809
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31396784527902977
the lambda is 2.0
the regulation term lambda/alpha is 6.370079070430153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2720088473793057
the lambda is 2.0
the regulation term lambda/alpha is 7.3527020141777895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.334867576301396
the lambda is 2.0
the regulation term lambda/alpha is 5.972510154879579
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3071382091587727
the lambda is 2.0
the regulation term lambda/alpha is 6.511726448747103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32837411950311374
the lambda is 2.0
the regulation term lambda/alpha is 6.090613971120326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3047757353064715
the lambda is 2.0
the regulation term lambda/alpha is 6.562202197589228
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3763688069115887
the lambda is 2.0
the regulation term lambda/alpha is 5.313936658065853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189349986733741
the lambda is 2.0
the regulation term lambda/alpha is 6.270870266101554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3541236165254097
the lambda is 2.0
the regulation term lambda/alpha is 5.647745325837348
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3438332710987308
the lambda is 2.0
the regulation term lambda/alpha is 5.81677274455998
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.364885819378653
the lambda is 2.0
the regulation term lambda/alpha is 5.4811666932020175
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3111705600669988
the lambda is 2.0
the regulation term lambda/alpha is 6.427343253710685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34422728482512793
the lambda is 2.0
the regulation term lambda/alpha is 5.810114677620708
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3091824827387881
the lambda is 2.0
the regulation term lambda/alpha is 6.468671776886189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27475810976069603
the lambda is 2.0
the regulation term lambda/alpha is 7.279130001811137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30146081235932226
the lambda is 2.0
the regulation term lambda/alpha is 6.634361475866144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.307700686489622
the lambda is 2.0
the regulation term lambda/alpha is 6.499823002726564
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32648849778395245
the lambda is 2.0
the regulation term lambda/alpha is 6.125790077062567
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31437469671281537
the lambda is 2.0
the regulation term lambda/alpha is 6.36183516330203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29626345817538785
the lambda is 2.0
the regulation term lambda/alpha is 6.750748176361328
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31342102928026233
the lambda is 2.0
the regulation term lambda/alpha is 6.38119275082717
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3141022683496425
the lambda is 2.0
the regulation term lambda/alpha is 6.3673529341523345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30255168509403524
the lambda is 2.0
the regulation term lambda/alpha is 6.610440789243615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029907538039193
the lambda is 2.0
the regulation term lambda/alpha is 6.600861494586404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2998151574168141
the lambda is 2.0
the regulation term lambda/alpha is 6.670776812059326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33227796818276795
the lambda is 2.0
the regulation term lambda/alpha is 6.019056908702142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3037854908551617
the lambda is 2.0
the regulation term lambda/alpha is 6.583592897639592
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.300759902239576
the lambda is 2.0
the regulation term lambda/alpha is 6.649822616336875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3359713009181724
the lambda is 2.0
the regulation term lambda/alpha is 5.952889412084369
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3327804815411457
the lambda is 2.0
the regulation term lambda/alpha is 6.009967864514661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30941507028388127
the lambda is 2.0
the regulation term lambda/alpha is 6.463809271361752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3291241315721384
the lambda is 2.0
the regulation term lambda/alpha is 6.076734606017895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3229970988763719
the lambda is 2.0
the regulation term lambda/alpha is 6.192006079799206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2992009522552717
the lambda is 2.0
the regulation term lambda/alpha is 6.684470704136141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2741992008905249
the lambda is 2.0
the regulation term lambda/alpha is 7.293967281832115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31445444567952147
the lambda is 2.0
the regulation term lambda/alpha is 6.360221734751095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2871223620366765
the lambda is 2.0
the regulation term lambda/alpha is 6.965671311050734
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2881160558090015
the lambda is 2.0
the regulation term lambda/alpha is 6.941647158066901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2857416431137594
the lambda is 2.0
the regulation term lambda/alpha is 6.999329807884393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31779548698898336
the lambda is 2.0
the regulation term lambda/alpha is 6.293355575780507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3084663608147163
the lambda is 2.0
the regulation term lambda/alpha is 6.483689160521856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3638215947208288
the lambda is 2.0
the regulation term lambda/alpha is 5.49719980622552
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2849182031742706
the lambda is 2.0
the regulation term lambda/alpha is 7.019558517911533
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30797232556826437
the lambda is 2.0
the regulation term lambda/alpha is 6.494090000813028
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298047747357572
the lambda is 2.0
the regulation term lambda/alpha is 6.710334225745958
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3550468162723075
the lambda is 2.0
the regulation term lambda/alpha is 5.633059946849588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4033080353952805
the lambda is 2.0
the regulation term lambda/alpha is 4.958988724436915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29587141029572267
the lambda is 2.0
the regulation term lambda/alpha is 6.759693334347531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33246890804950474
the lambda is 2.0
the regulation term lambda/alpha is 6.0156001104987515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29014030058988266
the lambda is 2.0
the regulation term lambda/alpha is 6.89321681935881
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114592495279217
the lambda is 2.0
the regulation term lambda/alpha is 6.421385792945295
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30399730780518286
the lambda is 2.0
the regulation term lambda/alpha is 6.579005631463365
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3152838277888599
the lambda is 2.0
the regulation term lambda/alpha is 6.343490606626881
900
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.312367829778856
the lambda is 2.0
the regulation term lambda/alpha is 6.402707991459685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3330485772959194
the lambda is 2.0
the regulation term lambda/alpha is 6.005129991061231
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3110834945134537
the lambda is 2.0
the regulation term lambda/alpha is 6.429142128315343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3197096387595562
the lambda is 2.0
the regulation term lambda/alpha is 6.255676268503555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2934769958703849
the lambda is 2.0
the regulation term lambda/alpha is 6.814844189298253
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34614253596685907
the lambda is 2.0
the regulation term lambda/alpha is 5.777966566326558
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30759166869654553
the lambda is 2.0
the regulation term lambda/alpha is 6.502126694377732
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29383019103820257
the lambda is 2.0
the regulation term lambda/alpha is 6.806652485006104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2764363811933366
the lambda is 2.0
the regulation term lambda/alpha is 7.2349377146607265
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3183326232741283
the lambda is 2.0
the regulation term lambda/alpha is 6.282736527062525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32638968391863626
the lambda is 2.0
the regulation term lambda/alpha is 6.1276446485317475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3130778789344843
the lambda is 2.0
the regulation term lambda/alpha is 6.38818688438389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2834144800307764
the lambda is 2.0
the regulation term lambda/alpha is 7.056802460420572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34060635449213894
the lambda is 2.0
the regulation term lambda/alpha is 5.871881054544915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2888115718515887
the lambda is 2.0
the regulation term lambda/alpha is 6.924930283014207
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30911905885173835
the lambda is 2.0
the regulation term lambda/alpha is 6.469998994656789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33889585981962
the lambda is 2.0
the regulation term lambda/alpha is 5.901517950276866
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3477299659992023
the lambda is 2.0
the regulation term lambda/alpha is 5.7515894388135305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36506378484839186
the lambda is 2.0
the regulation term lambda/alpha is 5.478494671364305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30392271063223997
the lambda is 2.0
the regulation term lambda/alpha is 6.580620434186931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33090444155735416
the lambda is 2.0
the regulation term lambda/alpha is 6.0440409641746955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27886213838288765
the lambda is 2.0
the regulation term lambda/alpha is 7.1720026662562875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3389739850986578
the lambda is 2.0
the regulation term lambda/alpha is 5.900157793577886
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3400999385543076
the lambda is 2.0
the regulation term lambda/alpha is 5.880624408524077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2951339868447505
the lambda is 2.0
the regulation term lambda/alpha is 6.776583142395122
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29458416308110447
the lambda is 2.0
the regulation term lambda/alpha is 6.789231230496811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114640806988646
the lambda is 2.0
the regulation term lambda/alpha is 6.421286189766699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27797791797448224
the lambda is 2.0
the regulation term lambda/alpha is 7.1948161011249665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3267692850509949
the lambda is 2.0
the regulation term lambda/alpha is 6.120526290247519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31720968581298264
the lambda is 2.0
the regulation term lambda/alpha is 6.304977714895945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3301022522222491
the lambda is 2.0
the regulation term lambda/alpha is 6.058728731888364
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2922033526839729
the lambda is 2.0
the regulation term lambda/alpha is 6.844548433922532
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304851674637147
the lambda is 2.0
the regulation term lambda/alpha is 6.05170881146909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.330514079749084
the lambda is 2.0
the regulation term lambda/alpha is 6.0511794278729
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30729164170978635
the lambda is 2.0
the regulation term lambda/alpha is 6.508475104860966
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2679341142110954
the lambda is 2.0
the regulation term lambda/alpha is 7.464521663800801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3011030074619079
the lambda is 2.0
the regulation term lambda/alpha is 6.6422451800087625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4343836572432079
the lambda is 2.0
the regulation term lambda/alpha is 4.604224782978464
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242675514369245
the lambda is 2.0
the regulation term lambda/alpha is 6.167746329034201
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2801179033797563
the lambda is 2.0
the regulation term lambda/alpha is 7.139850669553945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3362252658165297
the lambda is 2.0
the regulation term lambda/alpha is 5.948392947635749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33135652486919703
the lambda is 2.0
the regulation term lambda/alpha is 6.03579483092871
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132182182684814
the lambda is 2.0
the regulation term lambda/alpha is 6.385324618268721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2945865083567789
the lambda is 2.0
the regulation term lambda/alpha is 6.789177179756531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3271738906862786
the lambda is 2.0
the regulation term lambda/alpha is 6.11295722835587
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32127866333404703
the lambda is 2.0
the regulation term lambda/alpha is 6.225125500850691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3098602324057973
the lambda is 2.0
the regulation term lambda/alpha is 6.454523010170508
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31572299269106957
the lambda is 2.0
the regulation term lambda/alpha is 6.334666927337064
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29334889293256916
the lambda is 2.0
the regulation term lambda/alpha is 6.817820173126514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27382522019417305
the lambda is 2.0
the regulation term lambda/alpha is 7.303929121582643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34058571116251823
the lambda is 2.0
the regulation term lambda/alpha is 5.872236956663324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3371490083752512
the lambda is 2.0
the regulation term lambda/alpha is 5.932095157681657
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28877112904853
the lambda is 2.0
the regulation term lambda/alpha is 6.925900129246945
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3050416920406478
the lambda is 2.0
the regulation term lambda/alpha is 6.556480809624848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33800962348020536
the lambda is 2.0
the regulation term lambda/alpha is 5.916991295714173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2957432947485803
the lambda is 2.0
the regulation term lambda/alpha is 6.7626216232569405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.360107523988396
the lambda is 2.0
the regulation term lambda/alpha is 5.553896730201192
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32972208516493695
the lambda is 2.0
the regulation term lambda/alpha is 6.065714400051606
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329026584331467
the lambda is 2.0
the regulation term lambda/alpha is 6.078536188994279
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029366386710975
the lambda is 2.0
the regulation term lambda/alpha is 6.602040640489934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3209845957255665
the lambda is 2.0
the regulation term lambda/alpha is 6.230828602472712
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2872170324744067
the lambda is 2.0
the regulation term lambda/alpha is 6.963375335960327
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2820573233491203
the lambda is 2.0
the regulation term lambda/alpha is 7.090757212938849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29690018524077105
the lambda is 2.0
the regulation term lambda/alpha is 6.736270637143931
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3153451845276797
the lambda is 2.0
the regulation term lambda/alpha is 6.3422563531311775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32364281319942645
the lambda is 2.0
the regulation term lambda/alpha is 6.179652130163675
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30354674207423943
the lambda is 2.0
the regulation term lambda/alpha is 6.588771094472341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31618566584889396
the lambda is 2.0
the regulation term lambda/alpha is 6.325397435808509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35771877868962715
the lambda is 2.0
the regulation term lambda/alpha is 5.590984089027346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31130923297084734
the lambda is 2.0
the regulation term lambda/alpha is 6.42448018940476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29735482273638114
the lambda is 2.0
the regulation term lambda/alpha is 6.725971287753731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29018108152277844
the lambda is 2.0
the regulation term lambda/alpha is 6.892248073184624
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31081402813732784
the lambda is 2.0
the regulation term lambda/alpha is 6.434716000387004
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30194324368573033
the lambda is 2.0
the regulation term lambda/alpha is 6.623761391666201
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329525160750499
the lambda is 2.0
the regulation term lambda/alpha is 6.069339274260476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30180956370078815
the lambda is 2.0
the regulation term lambda/alpha is 6.626695242774963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3551885834609904
the lambda is 2.0
the regulation term lambda/alpha is 5.630811611431356
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329809724176842
the lambda is 2.0
the regulation term lambda/alpha is 6.064102582153132
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3339485330637244
the lambda is 2.0
the regulation term lambda/alpha is 5.988946804621412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35314169060550843
the lambda is 2.0
the regulation term lambda/alpha is 5.663449128792281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27274554595014766
the lambda is 2.0
the regulation term lambda/alpha is 7.332842019592721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3316847705167741
the lambda is 2.0
the regulation term lambda/alpha is 6.029821619135375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3231774844494425
the lambda is 2.0
the regulation term lambda/alpha is 6.188549933814704
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3109498181425183
the lambda is 2.0
the regulation term lambda/alpha is 6.4319059967526195
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298330039404381
the lambda is 2.0
the regulation term lambda/alpha is 6.7039846339075355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3345300022195917
the lambda is 2.0
the regulation term lambda/alpha is 5.9785370123160515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31568208897252015
the lambda is 2.0
the regulation term lambda/alpha is 6.335487725989099
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3348320353901135
the lambda is 2.0
the regulation term lambda/alpha is 5.973144109911095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30659335679205696
the lambda is 2.0
the regulation term lambda/alpha is 6.523298550648227
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34912601448485636
the lambda is 2.0
the regulation term lambda/alpha is 5.728590586270252
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32458938926877967
the lambda is 2.0
the regulation term lambda/alpha is 6.161630866940875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3170219889712476
the lambda is 2.0
the regulation term lambda/alpha is 6.308710655970903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3188218116400105
the lambda is 2.0
the regulation term lambda/alpha is 6.273096529098984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3294432115745687
the lambda is 2.0
the regulation term lambda/alpha is 6.070849025666765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29346057541409154
the lambda is 2.0
the regulation term lambda/alpha is 6.815225510881224
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3277823707819729
the lambda is 2.0
the regulation term lambda/alpha is 6.101609416115658
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34376891807182525
the lambda is 2.0
the regulation term lambda/alpha is 5.817861635711146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3563432166227674
the lambda is 2.0
the regulation term lambda/alpha is 5.612566499665526
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34388705868774017
the lambda is 2.0
the regulation term lambda/alpha is 5.8158629395125345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30053264138824115
the lambda is 2.0
the regulation term lambda/alpha is 6.6548511694485555
910
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28194860861512955
the lambda is 2.0
the regulation term lambda/alpha is 7.093491291989581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303260621061219
the lambda is 2.0
the regulation term lambda/alpha is 6.594987483047664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3235375868185152
the lambda is 2.0
the regulation term lambda/alpha is 6.181661981431165
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2879536860172477
the lambda is 2.0
the regulation term lambda/alpha is 6.945561377117448
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2897528165536951
the lambda is 2.0
the regulation term lambda/alpha is 6.902435060987139
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171772022259689
the lambda is 2.0
the regulation term lambda/alpha is 6.305623436879695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30873206264068587
the lambda is 2.0
the regulation term lambda/alpha is 6.478109150353056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2895482593612998
the lambda is 2.0
the regulation term lambda/alpha is 6.907311425085757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28301438744952395
the lambda is 2.0
the regulation term lambda/alpha is 7.0667785409203026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30823325293971354
the lambda is 2.0
the regulation term lambda/alpha is 6.488592586703078
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3611066835100189
the lambda is 2.0
the regulation term lambda/alpha is 5.53852944664346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32422171121860033
the lambda is 2.0
the regulation term lambda/alpha is 6.168618358353978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29602677877174455
the lambda is 2.0
the regulation term lambda/alpha is 6.756145536218962
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29601019017612423
the lambda is 2.0
the regulation term lambda/alpha is 6.75652415482728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31422396614727716
the lambda is 2.0
the regulation term lambda/alpha is 6.364886881551859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33719988513589794
the lambda is 2.0
the regulation term lambda/alpha is 5.931200122425789
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3431650324740989
the lambda is 2.0
the regulation term lambda/alpha is 5.828099633522405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804857265504744
the lambda is 2.0
the regulation term lambda/alpha is 7.13048761730873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3786930175016375
the lambda is 2.0
the regulation term lambda/alpha is 5.28132262167034
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3528681874702627
the lambda is 2.0
the regulation term lambda/alpha is 5.667838788013572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30128745716797783
the lambda is 2.0
the regulation term lambda/alpha is 6.6381787638936895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2816319493956048
the lambda is 2.0
the regulation term lambda/alpha is 7.10146701853995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27116306351764125
the lambda is 2.0
the regulation term lambda/alpha is 7.375635803988786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34025906849188176
the lambda is 2.0
the regulation term lambda/alpha is 5.877874199986879
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2968320223553944
the lambda is 2.0
the regulation term lambda/alpha is 6.7378175175635775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29352150180360703
the lambda is 2.0
the regulation term lambda/alpha is 6.813810871471299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3278022195180799
the lambda is 2.0
the regulation term lambda/alpha is 6.101239957863342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303559076727994
the lambda is 2.0
the regulation term lambda/alpha is 6.5885033699457205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32321062424350605
the lambda is 2.0
the regulation term lambda/alpha is 6.187915402475152
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3385801357964454
the lambda is 2.0
the regulation term lambda/alpha is 5.907021081716387
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32409359437149565
the lambda is 2.0
the regulation term lambda/alpha is 6.171056863615389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3352201916133009
the lambda is 2.0
the regulation term lambda/alpha is 5.9662277214707125
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2965318704572998
the lambda is 2.0
the regulation term lambda/alpha is 6.744637589597633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2650940802825222
the lambda is 2.0
the regulation term lambda/alpha is 7.5444913664934115
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28593174488723017
the lambda is 2.0
the regulation term lambda/alpha is 6.994676302167108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30597088591599947
the lambda is 2.0
the regulation term lambda/alpha is 6.536569628226247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3202124346772389
the lambda is 2.0
the regulation term lambda/alpha is 6.245853637807409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3521130687166249
the lambda is 2.0
the regulation term lambda/alpha is 5.679993665925444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3543527186415437
the lambda is 2.0
the regulation term lambda/alpha is 5.644093849956209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3214134964639653
the lambda is 2.0
the regulation term lambda/alpha is 6.22251405744633
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3084191558142921
the lambda is 2.0
the regulation term lambda/alpha is 6.484681519601385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30470434159048115
the lambda is 2.0
the regulation term lambda/alpha is 6.563739753626403
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3511164053143771
the lambda is 2.0
the regulation term lambda/alpha is 5.696116643166449
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33967974484098995
the lambda is 2.0
the regulation term lambda/alpha is 5.887898911771249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3332988470283905
the lambda is 2.0
the regulation term lambda/alpha is 6.000620817718098
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3138555949530024
the lambda is 2.0
the regulation term lambda/alpha is 6.3723573266217715
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30349318017646093
the lambda is 2.0
the regulation term lambda/alpha is 6.589933911652097
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27780575532295276
the lambda is 2.0
the regulation term lambda/alpha is 7.199274895061027
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30678181972187385
the lambda is 2.0
the regulation term lambda/alpha is 6.519291142523326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2939903011844011
the lambda is 2.0
the regulation term lambda/alpha is 6.80294551195255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30552217958275957
the lambda is 2.0
the regulation term lambda/alpha is 6.546169586546307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3436766219476411
the lambda is 2.0
the regulation term lambda/alpha is 5.819424052371821
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128895508174846
the lambda is 2.0
the regulation term lambda/alpha is 6.392031931953664
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3150610211512906
the lambda is 2.0
the regulation term lambda/alpha is 6.347976632246142
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36593788821011203
the lambda is 2.0
the regulation term lambda/alpha is 5.465408377860157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3517266566991219
the lambda is 2.0
the regulation term lambda/alpha is 5.686233789527256
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28982998590071263
the lambda is 2.0
the regulation term lambda/alpha is 6.900597237323615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.315996552359476
the lambda is 2.0
the regulation term lambda/alpha is 6.329182977049733
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32150106915180354
the lambda is 2.0
the regulation term lambda/alpha is 6.220819125972043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33290908708162537
the lambda is 2.0
the regulation term lambda/alpha is 6.007646164100121
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35260138692368437
the lambda is 2.0
the regulation term lambda/alpha is 5.672127433897111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3259406702557068
the lambda is 2.0
the regulation term lambda/alpha is 6.136086050356837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208343557599356
the lambda is 2.0
the regulation term lambda/alpha is 6.233746368161709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3252055818013211
the lambda is 2.0
the regulation term lambda/alpha is 6.149955941475404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3347373397250353
the lambda is 2.0
the regulation term lambda/alpha is 5.974833885107854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3459843114396643
the lambda is 2.0
the regulation term lambda/alpha is 5.780608928994103
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3587540706674878
the lambda is 2.0
the regulation term lambda/alpha is 5.5748496352357915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32771668233528506
the lambda is 2.0
the regulation term lambda/alpha is 6.102832439740774
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30824015196359794
the lambda is 2.0
the regulation term lambda/alpha is 6.488447359175299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27134050176806135
the lambda is 2.0
the regulation term lambda/alpha is 7.370812639351483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3069180032855993
the lambda is 2.0
the regulation term lambda/alpha is 6.516398447108758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30975347344662024
the lambda is 2.0
the regulation term lambda/alpha is 6.456747612047875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2785914554949288
the lambda is 2.0
the regulation term lambda/alpha is 7.178971072342906
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33884590842291185
the lambda is 2.0
the regulation term lambda/alpha is 5.902387929984417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30732343125645606
the lambda is 2.0
the regulation term lambda/alpha is 6.507801867964421
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2931972412699942
the lambda is 2.0
the regulation term lambda/alpha is 6.821346583402113
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29870366464578746
the lambda is 2.0
the regulation term lambda/alpha is 6.695599139607695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29609240993950886
the lambda is 2.0
the regulation term lambda/alpha is 6.754647984420122
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.310069784355699
the lambda is 2.0
the regulation term lambda/alpha is 6.450160902184795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31697234408879815
the lambda is 2.0
the regulation term lambda/alpha is 6.3096987396468585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2825163573919293
the lambda is 2.0
the regulation term lambda/alpha is 7.079236113841861
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29593830857067327
the lambda is 2.0
the regulation term lambda/alpha is 6.758165273227472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2855319703870029
the lambda is 2.0
the regulation term lambda/alpha is 7.004469577572172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29307037892998283
the lambda is 2.0
the regulation term lambda/alpha is 6.824299362160439
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2806689923114116
the lambda is 2.0
the regulation term lambda/alpha is 7.125831690666182
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30813787559294187
the lambda is 2.0
the regulation term lambda/alpha is 6.490600988766639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3196199258876957
the lambda is 2.0
the regulation term lambda/alpha is 6.257432149905249
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31282427476636837
the lambda is 2.0
the regulation term lambda/alpha is 6.393365737021823
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34322270809695504
the lambda is 2.0
the regulation term lambda/alpha is 5.827120271526531
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2750378850430054
the lambda is 2.0
the regulation term lambda/alpha is 7.271725492243647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30428996053917395
the lambda is 2.0
the regulation term lambda/alpha is 6.572678232486485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31316810904560294
the lambda is 2.0
the regulation term lambda/alpha is 6.3863463176219
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2597596477693352
the lambda is 2.0
the regulation term lambda/alpha is 7.699425284777051
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3234535860407197
the lambda is 2.0
the regulation term lambda/alpha is 6.18326735678305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31064053932376984
the lambda is 2.0
the regulation term lambda/alpha is 6.438309707914425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29326455872668233
the lambda is 2.0
the regulation term lambda/alpha is 6.81978077638753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171523254056967
the lambda is 2.0
the regulation term lambda/alpha is 6.3061180378911885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32267458007136174
the lambda is 2.0
the regulation term lambda/alpha is 6.198195096613083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29739666786780145
the lambda is 2.0
the regulation term lambda/alpha is 6.725024911472911
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981377909476815
the lambda is 2.0
the regulation term lambda/alpha is 6.708307570277022
920
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30669192207856333
the lambda is 2.0
the regulation term lambda/alpha is 6.521202079419857
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29770188693477045
the lambda is 2.0
the regulation term lambda/alpha is 6.7181300749975446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29755575592962474
the lambda is 2.0
the regulation term lambda/alpha is 6.7214293796858104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3221921684424552
the lambda is 2.0
the regulation term lambda/alpha is 6.207475525145199
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3209501574453513
the lambda is 2.0
the regulation term lambda/alpha is 6.231497176755687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31613776674354327
the lambda is 2.0
the regulation term lambda/alpha is 6.326355818229198
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3271163630503935
the lambda is 2.0
the regulation term lambda/alpha is 6.114032270809677
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3358850069626568
the lambda is 2.0
the regulation term lambda/alpha is 5.954418799712478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30902843088861703
the lambda is 2.0
the regulation term lambda/alpha is 6.471896434412079
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2717721604851006
the lambda is 2.0
the regulation term lambda/alpha is 7.359105496420581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32439252588757994
the lambda is 2.0
the regulation term lambda/alpha is 6.1653701623603725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3110118396402606
the lambda is 2.0
the regulation term lambda/alpha is 6.4306233560540615
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3295144581920305
the lambda is 2.0
the regulation term lambda/alpha is 6.069536405089891
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31812086975307124
the lambda is 2.0
the regulation term lambda/alpha is 6.286918558824578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31732987846930283
the lambda is 2.0
the regulation term lambda/alpha is 6.302589625809445
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34448615287860995
the lambda is 2.0
the regulation term lambda/alpha is 5.8057486005969015
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3256263242839674
the lambda is 2.0
the regulation term lambda/alpha is 6.142009570012126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2811458356471654
the lambda is 2.0
the regulation term lambda/alpha is 7.1137457732433775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32765330289540523
the lambda is 2.0
the regulation term lambda/alpha is 6.104012937841337
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29192159214168195
the lambda is 2.0
the regulation term lambda/alpha is 6.851154740993996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2921303939903074
the lambda is 2.0
the regulation term lambda/alpha is 6.846257839457671
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31605089991548124
the lambda is 2.0
the regulation term lambda/alpha is 6.328094621894267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3466175914155683
the lambda is 2.0
the regulation term lambda/alpha is 5.77004759577292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2860278248349337
the lambda is 2.0
the regulation term lambda/alpha is 6.9923267121099055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3017433841968719
the lambda is 2.0
the regulation term lambda/alpha is 6.628148634719042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3215552191134072
the lambda is 2.0
the regulation term lambda/alpha is 6.219771538818137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249510882362368
the lambda is 2.0
the regulation term lambda/alpha is 6.154772433154666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3247758074078863
the lambda is 2.0
the regulation term lambda/alpha is 6.15809415104678
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31443307069884496
the lambda is 2.0
the regulation term lambda/alpha is 6.360654098994386
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3081200636687581
the lambda is 2.0
the regulation term lambda/alpha is 6.490976199946795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31179089560647555
the lambda is 2.0
the regulation term lambda/alpha is 6.414555486329159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32248446193049746
the lambda is 2.0
the regulation term lambda/alpha is 6.2018491930660655
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34220356078439845
the lambda is 2.0
the regulation term lambda/alpha is 5.844474544378215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30293242880222593
the lambda is 2.0
the regulation term lambda/alpha is 6.602132389417214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.294934912386795
the lambda is 2.0
the regulation term lambda/alpha is 6.781157184189447
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3099348496071169
the lambda is 2.0
the regulation term lambda/alpha is 6.452969075711435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3239825495795398
the lambda is 2.0
the regulation term lambda/alpha is 6.173171989033277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149103137822161
the lambda is 2.0
the regulation term lambda/alpha is 6.351014598344177
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32890305203653036
the lambda is 2.0
the regulation term lambda/alpha is 6.080819218965063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3435871389247077
the lambda is 2.0
the regulation term lambda/alpha is 5.820939649426959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212829765275365
the lambda is 2.0
the regulation term lambda/alpha is 6.2250419291312316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3076306615272955
the lambda is 2.0
the regulation term lambda/alpha is 6.501302536199057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33408709681383886
the lambda is 2.0
the regulation term lambda/alpha is 5.9864628687364325
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34291047412288683
the lambda is 2.0
the regulation term lambda/alpha is 5.83242610222303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3553111603244487
the lambda is 2.0
the regulation term lambda/alpha is 5.628869068378603
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242531953952771
the lambda is 2.0
the regulation term lambda/alpha is 6.168019400894178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3129659021896144
the lambda is 2.0
the regulation term lambda/alpha is 6.390472527541593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31705261368922477
the lambda is 2.0
the regulation term lambda/alpha is 6.308101285550043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2830674317794505
the lambda is 2.0
the regulation term lambda/alpha is 7.06545428920372
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3615992010514675
the lambda is 2.0
the regulation term lambda/alpha is 5.530985671938291
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30212402310894226
the lambda is 2.0
the regulation term lambda/alpha is 6.619797986996963
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.308340621846953
the lambda is 2.0
the regulation term lambda/alpha is 6.486333159802453
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29753985858725696
the lambda is 2.0
the regulation term lambda/alpha is 6.721788500862237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3302112830435342
the lambda is 2.0
the regulation term lambda/alpha is 6.056728230380684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010685009532809
the lambda is 2.0
the regulation term lambda/alpha is 6.643006470844172
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.302665340991378
the lambda is 2.0
the regulation term lambda/alpha is 6.607958458173689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34987029597159053
the lambda is 2.0
the regulation term lambda/alpha is 5.716404116119649
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.314546470291139
the lambda is 2.0
the regulation term lambda/alpha is 6.358360970157551
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3131036909420464
the lambda is 2.0
the regulation term lambda/alpha is 6.387660247576538
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30085028622743826
the lambda is 2.0
the regulation term lambda/alpha is 6.64782482037604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3153589242632502
the lambda is 2.0
the regulation term lambda/alpha is 6.341980030127425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3046645086515235
the lambda is 2.0
the regulation term lambda/alpha is 6.564597920683988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29834179239306075
the lambda is 2.0
the regulation term lambda/alpha is 6.70372053461766
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2628488281162781
the lambda is 2.0
the regulation term lambda/alpha is 7.608936339313819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35579934499534865
the lambda is 2.0
the regulation term lambda/alpha is 5.621145817528546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32938701971270534
the lambda is 2.0
the regulation term lambda/alpha is 6.0718846836903895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3497571284371027
the lambda is 2.0
the regulation term lambda/alpha is 5.7182537177642185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31181065143160713
the lambda is 2.0
the regulation term lambda/alpha is 6.414149070333096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149791766633196
the lambda is 2.0
the regulation term lambda/alpha is 6.349626096514293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28631170035307135
the lambda is 2.0
the regulation term lambda/alpha is 6.98539388203017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28434135144883244
the lambda is 2.0
the regulation term lambda/alpha is 7.033799304284106
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29590748062243327
the lambda is 2.0
the regulation term lambda/alpha is 6.758869345895057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29208446757604584
the lambda is 2.0
the regulation term lambda/alpha is 6.8473343228334755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32777738640755627
the lambda is 2.0
the regulation term lambda/alpha is 6.10170220075284
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.306235998773922
the lambda is 2.0
the regulation term lambda/alpha is 6.53091082696811
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2941618449244844
the lambda is 2.0
the regulation term lambda/alpha is 6.798978298879751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26250682338822284
the lambda is 2.0
the regulation term lambda/alpha is 7.6188495757391745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29684325252436805
the lambda is 2.0
the regulation term lambda/alpha is 6.7375626125637424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30665100694654124
the lambda is 2.0
the regulation term lambda/alpha is 6.522072175516
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30159382638965126
the lambda is 2.0
the regulation term lambda/alpha is 6.631435477117668
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128665553219544
the lambda is 2.0
the regulation term lambda/alpha is 6.392501742290434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30701674194855977
the lambda is 2.0
the regulation term lambda/alpha is 6.5143027292469196
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.38217129832818486
the lambda is 2.0
the regulation term lambda/alpha is 5.233255371999508
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30634370923251103
the lambda is 2.0
the regulation term lambda/alpha is 6.528614558499144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3235793469985011
the lambda is 2.0
the regulation term lambda/alpha is 6.1808641946769995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3041743914536817
the lambda is 2.0
the regulation term lambda/alpha is 6.575175478914539
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28974358139064077
the lambda is 2.0
the regulation term lambda/alpha is 6.902655066251637
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31136146183953245
the lambda is 2.0
the regulation term lambda/alpha is 6.423402524461257
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2947352542391357
the lambda is 2.0
the regulation term lambda/alpha is 6.785750843288278
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33218233264991537
the lambda is 2.0
the regulation term lambda/alpha is 6.020789799521896
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3000810986522398
the lambda is 2.0
the regulation term lambda/alpha is 6.664864961447554
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.4017583434143497
the lambda is 2.0
the regulation term lambda/alpha is 4.978116902322347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30533227267135377
the lambda is 2.0
the regulation term lambda/alpha is 6.550241094732597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3632469870069291
the lambda is 2.0
the regulation term lambda/alpha is 5.505895634481475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32194774657923314
the lambda is 2.0
the regulation term lambda/alpha is 6.212188223866909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.349985113212274
the lambda is 2.0
the regulation term lambda/alpha is 5.714528774219474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2826312284949835
the lambda is 2.0
the regulation term lambda/alpha is 7.076358867525138
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.307992974156459
the lambda is 2.0
the regulation term lambda/alpha is 6.49365462143305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3575041946266628
the lambda is 2.0
the regulation term lambda/alpha is 5.594339954776126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3102105831706068
the lambda is 2.0
the regulation term lambda/alpha is 6.447233294100925
930
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30697490074922434
the lambda is 2.0
the regulation term lambda/alpha is 6.515190639751525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2734049949076787
the lambda is 2.0
the regulation term lambda/alpha is 7.315155308977967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30680383003144535
the lambda is 2.0
the regulation term lambda/alpha is 6.518823444267346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3345731554647299
the lambda is 2.0
the regulation term lambda/alpha is 5.97776590062031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2914222669722129
the lambda is 2.0
the regulation term lambda/alpha is 6.862893562593485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3212569955227729
the lambda is 2.0
the regulation term lambda/alpha is 6.22554536671008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243387932624882
the lambda is 2.0
the regulation term lambda/alpha is 6.166391568156927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3301382878636881
the lambda is 2.0
the regulation term lambda/alpha is 6.058067402426787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3325881382735732
the lambda is 2.0
the regulation term lambda/alpha is 6.013443565311048
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.323748606044427
the lambda is 2.0
the regulation term lambda/alpha is 6.177632776357179
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3348212454610317
the lambda is 2.0
the regulation term lambda/alpha is 5.973336600089706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3549626519595749
the lambda is 2.0
the regulation term lambda/alpha is 5.634395587701917
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34984945291060565
the lambda is 2.0
the regulation term lambda/alpha is 5.716744683636949
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3052517405119901
the lambda is 2.0
the regulation term lambda/alpha is 6.551969193182835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3351987704711583
the lambda is 2.0
the regulation term lambda/alpha is 5.966608997964946
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31391177149527594
the lambda is 2.0
the regulation term lambda/alpha is 6.371216952053988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28128830352910017
the lambda is 2.0
the regulation term lambda/alpha is 7.110142778450415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31977744581671996
the lambda is 2.0
the regulation term lambda/alpha is 6.254349786589694
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3223848802027349
the lambda is 2.0
the regulation term lambda/alpha is 6.203764887305757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3453342398346018
the lambda is 2.0
the regulation term lambda/alpha is 5.7914905888217225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33697007577484034
the lambda is 2.0
the regulation term lambda/alpha is 5.935245126443744
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3273261636843355
the lambda is 2.0
the regulation term lambda/alpha is 6.110113464467038
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3287681283601877
the lambda is 2.0
the regulation term lambda/alpha is 6.083314736058797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33062849508376607
the lambda is 2.0
the regulation term lambda/alpha is 6.049085392634691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3034309058441825
the lambda is 2.0
the regulation term lambda/alpha is 6.591286390012749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3075487308571679
the lambda is 2.0
the regulation term lambda/alpha is 6.503034476604107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.286413658629866
the lambda is 2.0
the regulation term lambda/alpha is 6.982907203404749
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3265547454693001
the lambda is 2.0
the regulation term lambda/alpha is 6.124547346956326
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.383994405530382
the lambda is 2.0
the regulation term lambda/alpha is 5.208409214289342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30859847864566003
the lambda is 2.0
the regulation term lambda/alpha is 6.4809133498562925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2892420638500261
the lambda is 2.0
the regulation term lambda/alpha is 6.914623597199241
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3419774557601684
the lambda is 2.0
the regulation term lambda/alpha is 5.848338732020442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2842241010587688
the lambda is 2.0
the regulation term lambda/alpha is 7.036700943198556
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32066095605308204
the lambda is 2.0
the regulation term lambda/alpha is 6.23711731112322
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2981570918509614
the lambda is 2.0
the regulation term lambda/alpha is 6.707873314647609
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2951625921007217
the lambda is 2.0
the regulation term lambda/alpha is 6.775926399635077
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30554087623612736
the lambda is 2.0
the regulation term lambda/alpha is 6.545769013421186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3084068285668835
the lambda is 2.0
the regulation term lambda/alpha is 6.484940717083585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3099650863091333
the lambda is 2.0
the regulation term lambda/alpha is 6.45233959674209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32309857662652264
the lambda is 2.0
the regulation term lambda/alpha is 6.190061314667591
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34406780906273526
the lambda is 2.0
the regulation term lambda/alpha is 5.8128076713951815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31096398170807327
the lambda is 2.0
the regulation term lambda/alpha is 6.431613040887673
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32046397278000655
the lambda is 2.0
the regulation term lambda/alpha is 6.240951151700814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2895654450598028
the lambda is 2.0
the regulation term lambda/alpha is 6.906901476406993
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3439052771377987
the lambda is 2.0
the regulation term lambda/alpha is 5.815554843023313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29052922207349974
the lambda is 2.0
the regulation term lambda/alpha is 6.883989106934065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.331188213603097
the lambda is 2.0
the regulation term lambda/alpha is 6.038862247666948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3315155272537806
the lambda is 2.0
the regulation term lambda/alpha is 6.032899926491127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31333442232157
the lambda is 2.0
the regulation term lambda/alpha is 6.382956539474724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28652517083118473
the lambda is 2.0
the regulation term lambda/alpha is 6.9801895386648685
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114702517251847
the lambda is 2.0
the regulation term lambda/alpha is 6.421158967581381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37536068159705843
the lambda is 2.0
the regulation term lambda/alpha is 5.328208568597381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.286532174649917
the lambda is 2.0
the regulation term lambda/alpha is 6.9800189191443724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29279139394528736
the lambda is 2.0
the regulation term lambda/alpha is 6.830801865623589
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28256659628578845
the lambda is 2.0
the regulation term lambda/alpha is 7.077977461912008
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30163888646091264
the lambda is 2.0
the regulation term lambda/alpha is 6.630444845708468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3278917855784842
the lambda is 2.0
the regulation term lambda/alpha is 6.099573359154128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32881995833941513
the lambda is 2.0
the regulation term lambda/alpha is 6.082355858507702
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2758299797565988
the lambda is 2.0
the regulation term lambda/alpha is 7.250843442633988
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3394905853924732
the lambda is 2.0
the regulation term lambda/alpha is 5.8911795674329825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31297846107939303
the lambda is 2.0
the regulation term lambda/alpha is 6.3902160969877775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2712545936288314
the lambda is 2.0
the regulation term lambda/alpha is 7.373147024882021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3160255134505393
the lambda is 2.0
the regulation term lambda/alpha is 6.328602960447423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3144130301959348
the lambda is 2.0
the regulation term lambda/alpha is 6.361059523371684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3396403703740182
the lambda is 2.0
the regulation term lambda/alpha is 5.888581495178454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30486327979948236
the lambda is 2.0
the regulation term lambda/alpha is 6.5603177966052835
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3512336910903382
the lambda is 2.0
the regulation term lambda/alpha is 5.694214566351481
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29624344841768846
the lambda is 2.0
the regulation term lambda/alpha is 6.751204155509626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3143168611893079
the lambda is 2.0
the regulation term lambda/alpha is 6.363005765686342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34358002193027665
the lambda is 2.0
the regulation term lambda/alpha is 5.821060225689909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30609925569400886
the lambda is 2.0
the regulation term lambda/alpha is 6.533828367094409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32131793107982193
the lambda is 2.0
the regulation term lambda/alpha is 6.224364738310104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3293034659968456
the lambda is 2.0
the regulation term lambda/alpha is 6.073425294646483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29792119924650323
the lambda is 2.0
the regulation term lambda/alpha is 6.713184577191428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33637546020929837
the lambda is 2.0
the regulation term lambda/alpha is 5.945736941558005
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30638938301672547
the lambda is 2.0
the regulation term lambda/alpha is 6.527641331131967
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3138383844165102
the lambda is 2.0
the regulation term lambda/alpha is 6.372706779377575
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35512517709903146
the lambda is 2.0
the regulation term lambda/alpha is 5.6318169732085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27745247994888067
the lambda is 2.0
the regulation term lambda/alpha is 7.208441605454349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31733089730150116
the lambda is 2.0
the regulation term lambda/alpha is 6.3025693905241384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3243479998694051
the lambda is 2.0
the regulation term lambda/alpha is 6.166216535342523
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3283112695889819
the lambda is 2.0
the regulation term lambda/alpha is 6.09177992124313
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3207684003936967
the lambda is 2.0
the regulation term lambda/alpha is 6.235028131029397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31121603397680075
the lambda is 2.0
the regulation term lambda/alpha is 6.426404110493509
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3108985323361678
the lambda is 2.0
the regulation term lambda/alpha is 6.432967003644274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3262276221812221
the lambda is 2.0
the regulation term lambda/alpha is 6.1306887093974645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3065228202407794
the lambda is 2.0
the regulation term lambda/alpha is 6.5247996818930565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3228684935680501
the lambda is 2.0
the regulation term lambda/alpha is 6.1944724859889915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2619737329687193
the lambda is 2.0
the regulation term lambda/alpha is 7.634353174784924
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2857976173581902
the lambda is 2.0
the regulation term lambda/alpha is 6.997958970012684
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3236723667188553
the lambda is 2.0
the regulation term lambda/alpha is 6.179087885303529
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31073538730248973
the lambda is 2.0
the regulation term lambda/alpha is 6.43634449671827
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3136027727093992
the lambda is 2.0
the regulation term lambda/alpha is 6.377494633484332
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29840835550684097
the lambda is 2.0
the regulation term lambda/alpha is 6.7022251994353095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2938283302577256
the lambda is 2.0
the regulation term lambda/alpha is 6.806695590740826
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.316026469535002
the lambda is 2.0
the regulation term lambda/alpha is 6.328583814332953
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2896411305244809
the lambda is 2.0
the regulation term lambda/alpha is 6.905096649700298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3047271463371776
the lambda is 2.0
the regulation term lambda/alpha is 6.563248545592389
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2896424869940154
the lambda is 2.0
the regulation term lambda/alpha is 6.905064311374057
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3372702480058854
the lambda is 2.0
the regulation term lambda/alpha is 5.929962728183186
940
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36024912440831447
the lambda is 2.0
the regulation term lambda/alpha is 5.551713701691486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3241572600980566
the lambda is 2.0
the regulation term lambda/alpha is 6.169844844428305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3146298222546663
the lambda is 2.0
the regulation term lambda/alpha is 6.356676508500739
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3043542268088738
the lambda is 2.0
the regulation term lambda/alpha is 6.571290370992434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2883206681113405
the lambda is 2.0
the regulation term lambda/alpha is 6.936720884774248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3750047021945223
the lambda is 2.0
the regulation term lambda/alpha is 5.33326645851646
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3257414604082996
the lambda is 2.0
the regulation term lambda/alpha is 6.139838623837157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008292391008667
the lambda is 2.0
the regulation term lambda/alpha is 6.648289926796009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3152307487446603
the lambda is 2.0
the regulation term lambda/alpha is 6.344558733450263
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34340255635904304
the lambda is 2.0
the regulation term lambda/alpha is 5.824068467064377
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28484053687750854
the lambda is 2.0
the regulation term lambda/alpha is 7.021472512039501
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28264981941271206
the lambda is 2.0
the regulation term lambda/alpha is 7.075893429387596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3370863586914346
the lambda is 2.0
the regulation term lambda/alpha is 5.933197676002011
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34485292888973434
the lambda is 2.0
the regulation term lambda/alpha is 5.799573767400114
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3427905759958129
the lambda is 2.0
the regulation term lambda/alpha is 5.834466114448927
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3267707950441854
the lambda is 2.0
the regulation term lambda/alpha is 6.120498007569996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3042723840084557
the lambda is 2.0
the regulation term lambda/alpha is 6.573057908352341
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30797284413448356
the lambda is 2.0
the regulation term lambda/alpha is 6.494079066031722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3177876007807742
the lambda is 2.0
the regulation term lambda/alpha is 6.293511751516385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3048944596485353
the lambda is 2.0
the regulation term lambda/alpha is 6.559646909640419
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37063928150425374
the lambda is 2.0
the regulation term lambda/alpha is 5.396082120283968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199956196070252
the lambda is 2.0
the regulation term lambda/alpha is 6.250085555721438
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36501918452687726
the lambda is 2.0
the regulation term lambda/alpha is 5.479164068026499
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3617092951666265
the lambda is 2.0
the regulation term lambda/alpha is 5.529302195783141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.319633727717912
the lambda is 2.0
the regulation term lambda/alpha is 6.257161953087349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3201542085609946
the lambda is 2.0
the regulation term lambda/alpha is 6.246989564777087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33892485061187394
the lambda is 2.0
the regulation term lambda/alpha is 5.901013149048598
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3097139121511443
the lambda is 2.0
the regulation term lambda/alpha is 6.4575723644728455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32891895474419497
the lambda is 2.0
the regulation term lambda/alpha is 6.080525221039417
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30893991352942884
the lambda is 2.0
the regulation term lambda/alpha is 6.473750759982281
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31549844655082
the lambda is 2.0
the regulation term lambda/alpha is 6.339175428167578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3076847531966692
the lambda is 2.0
the regulation term lambda/alpha is 6.500159592638699
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34047237272692715
the lambda is 2.0
the regulation term lambda/alpha is 5.874191741260846
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31771498701173534
the lambda is 2.0
the regulation term lambda/alpha is 6.294950133800666
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3110981845172616
the lambda is 2.0
the regulation term lambda/alpha is 6.428838545308283
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3402958514896885
the lambda is 2.0
the regulation term lambda/alpha is 5.877238853323497
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29777759064609904
the lambda is 2.0
the regulation term lambda/alpha is 6.716422131230648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30309525834867934
the lambda is 2.0
the regulation term lambda/alpha is 6.598585576351081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3313202773916503
the lambda is 2.0
the regulation term lambda/alpha is 6.03645516581474
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148724397347315
the lambda is 2.0
the regulation term lambda/alpha is 6.351778522391248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3315459031192083
the lambda is 2.0
the regulation term lambda/alpha is 6.032347198936415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34166681054840764
the lambda is 2.0
the regulation term lambda/alpha is 5.8536560715095804
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035793632379289
the lambda is 2.0
the regulation term lambda/alpha is 6.588063097136512
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3470113221681735
the lambda is 2.0
the regulation term lambda/alpha is 5.763500705117432
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3017683671939602
the lambda is 2.0
the regulation term lambda/alpha is 6.627599899211799
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2970709915821799
the lambda is 2.0
the regulation term lambda/alpha is 6.7323974964641815
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33784128392017027
the lambda is 2.0
the regulation term lambda/alpha is 5.919939614226032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3498014452877283
the lambda is 2.0
the regulation term lambda/alpha is 5.717529263936875
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2915507271278988
the lambda is 2.0
the regulation term lambda/alpha is 6.859869703300828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32856972388655803
the lambda is 2.0
the regulation term lambda/alpha is 6.08698810207638
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34504479825817885
the lambda is 2.0
the regulation term lambda/alpha is 5.796348793247146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2886563284758563
the lambda is 2.0
the regulation term lambda/alpha is 6.9286546065359635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28304697613185004
the lambda is 2.0
the regulation term lambda/alpha is 7.065964905657046
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.344269103032363
the lambda is 2.0
the regulation term lambda/alpha is 5.809408925703071
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27646440520258786
the lambda is 2.0
the regulation term lambda/alpha is 7.234204340100991
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29231359277165997
the lambda is 2.0
the regulation term lambda/alpha is 6.841967152592507
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30261100724844214
the lambda is 2.0
the regulation term lambda/alpha is 6.609144915730081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32487412947937994
the lambda is 2.0
the regulation term lambda/alpha is 6.156230424395618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32020089903910054
the lambda is 2.0
the regulation term lambda/alpha is 6.246078652501769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2497787928015359
the lambda is 2.0
the regulation term lambda/alpha is 8.00708489927373
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31857774435085334
the lambda is 2.0
the regulation term lambda/alpha is 6.277902444426178
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2975645838600264
the lambda is 2.0
the regulation term lambda/alpha is 6.72122997319061
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2973041724972858
the lambda is 2.0
the regulation term lambda/alpha is 6.72711715816319
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3056288879882366
the lambda is 2.0
the regulation term lambda/alpha is 6.543884032575409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30982822382099795
the lambda is 2.0
the regulation term lambda/alpha is 6.455189831754941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2956477358012699
the lambda is 2.0
the regulation term lambda/alpha is 6.7648074306389105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31771926968458647
the lambda is 2.0
the regulation term lambda/alpha is 6.2948652814967305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35807518843107655
the lambda is 2.0
the regulation term lambda/alpha is 5.585419109218639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28809591522505923
the lambda is 2.0
the regulation term lambda/alpha is 6.94213244376481
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35875848226269896
the lambda is 2.0
the regulation term lambda/alpha is 5.574781082208701
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29216017769324387
the lambda is 2.0
the regulation term lambda/alpha is 6.845559910974306
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33533850009865535
the lambda is 2.0
the regulation term lambda/alpha is 5.964122817426593
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31910220635904263
the lambda is 2.0
the regulation term lambda/alpha is 6.267584366839727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3740517349906581
the lambda is 2.0
the regulation term lambda/alpha is 5.346853958717635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34462328645291407
the lambda is 2.0
the regulation term lambda/alpha is 5.80343835898408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3560174817046351
the lambda is 2.0
the regulation term lambda/alpha is 5.61770166572683
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35860254248110746
the lambda is 2.0
the regulation term lambda/alpha is 5.577205298552415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3415415040954475
the lambda is 2.0
the regulation term lambda/alpha is 5.8558036900870425
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2841068721336495
the lambda is 2.0
the regulation term lambda/alpha is 7.039604445256645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33163946880043726
the lambda is 2.0
the regulation term lambda/alpha is 6.03064528849397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3035948222870307
the lambda is 2.0
the regulation term lambda/alpha is 6.58772763294731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3658418817642215
the lambda is 2.0
the regulation term lambda/alpha is 5.466842643481054
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36558718903729537
the lambda is 2.0
the regulation term lambda/alpha is 5.470651215286349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32752057010031776
the lambda is 2.0
the regulation term lambda/alpha is 6.106486683836105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2867572365020296
the lambda is 2.0
the regulation term lambda/alpha is 6.9745406407061825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222446169336751
the lambda is 2.0
the regulation term lambda/alpha is 6.206465197249961
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3409635922491653
the lambda is 2.0
the regulation term lambda/alpha is 5.865728909080897
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.311724546387029
the lambda is 2.0
the regulation term lambda/alpha is 6.415920796679426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32386183208141756
the lambda is 2.0
the regulation term lambda/alpha is 6.1754730007740095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3344434778742036
the lambda is 2.0
the regulation term lambda/alpha is 5.980083728085955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3368407003794399
the lambda is 2.0
the regulation term lambda/alpha is 5.937524763922727
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.311590586628185
the lambda is 2.0
the regulation term lambda/alpha is 6.418679144458754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29256428423275244
the lambda is 2.0
the regulation term lambda/alpha is 6.836104431697753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2837801136241578
the lambda is 2.0
the regulation term lambda/alpha is 7.047710195256412
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3981326836183933
the lambda is 2.0
the regulation term lambda/alpha is 5.023450930536972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3236398010716244
the lambda is 2.0
the regulation term lambda/alpha is 6.179709644418494
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35863148694571245
the lambda is 2.0
the regulation term lambda/alpha is 5.5767551729297775
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33045624431767795
the lambda is 2.0
the regulation term lambda/alpha is 6.0522384866098555
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33728121076160894
the lambda is 2.0
the regulation term lambda/alpha is 5.929769984766819
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3383958952440744
the lambda is 2.0
the regulation term lambda/alpha is 5.910237175180457
950
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27355947353794124
the lambda is 2.0
the regulation term lambda/alpha is 7.311024451590088
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27820097917920805
the lambda is 2.0
the regulation term lambda/alpha is 7.189047306377972
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2898616612434121
the lambda is 2.0
the regulation term lambda/alpha is 6.899843157665803
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3442940862569502
the lambda is 2.0
the regulation term lambda/alpha is 5.8089873739724345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.304662958542286
the lambda is 2.0
the regulation term lambda/alpha is 6.564631321015706
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3611474229826028
the lambda is 2.0
the regulation term lambda/alpha is 5.537904669186423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2778393658101588
the lambda is 2.0
the regulation term lambda/alpha is 7.1984039920626435
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27081226535485875
the lambda is 2.0
the regulation term lambda/alpha is 7.385189874540212
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31147821445907775
the lambda is 2.0
the regulation term lambda/alpha is 6.420994814912686
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3260096147124881
the lambda is 2.0
the regulation term lambda/alpha is 6.134788391943055
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3556731370354865
the lambda is 2.0
the regulation term lambda/alpha is 5.623140439196156
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3545671430411917
the lambda is 2.0
the regulation term lambda/alpha is 5.6406805854756
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2803193740604354
the lambda is 2.0
the regulation term lambda/alpha is 7.134719127793181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31999590512368015
the lambda is 2.0
the regulation term lambda/alpha is 6.250079979076573
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30681425351028496
the lambda is 2.0
the regulation term lambda/alpha is 6.518601978616865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.289154522407161
the lambda is 2.0
the regulation term lambda/alpha is 6.9167169973699485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.298409440241981
the lambda is 2.0
the regulation term lambda/alpha is 6.702200836468828
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33995393334610374
the lambda is 2.0
the regulation term lambda/alpha is 5.883150050109347
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32780073412270894
the lambda is 2.0
the regulation term lambda/alpha is 6.1012676050057895
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33783338105460403
the lambda is 2.0
the regulation term lambda/alpha is 5.92007809813424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.350313647810933
the lambda is 2.0
the regulation term lambda/alpha is 5.709169518509355
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168727996163314
the lambda is 2.0
the regulation term lambda/alpha is 6.311680909253157
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.321660853829061
the lambda is 2.0
the regulation term lambda/alpha is 6.217728940876506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29747454360563425
the lambda is 2.0
the regulation term lambda/alpha is 6.723264369980597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3126988612912151
the lambda is 2.0
the regulation term lambda/alpha is 6.3959299107821455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.305289004611809
the lambda is 2.0
the regulation term lambda/alpha is 6.551169448579076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.299159859370183
the lambda is 2.0
the regulation term lambda/alpha is 6.685388889440486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27457576273640616
the lambda is 2.0
the regulation term lambda/alpha is 7.283964105455324
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35248826226712043
the lambda is 2.0
the regulation term lambda/alpha is 5.673947799386218
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3476512386499076
the lambda is 2.0
the regulation term lambda/alpha is 5.752891914802133
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31062359142490525
the lambda is 2.0
the regulation term lambda/alpha is 6.438660987806876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3122933216844326
the lambda is 2.0
the regulation term lambda/alpha is 6.404235573186442
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33615898844068304
the lambda is 2.0
the regulation term lambda/alpha is 5.94956573756144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35592348289703857
the lambda is 2.0
the regulation term lambda/alpha is 5.619185291515478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2945364118752111
the lambda is 2.0
the regulation term lambda/alpha is 6.790331922856987
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30634868090640194
the lambda is 2.0
the regulation term lambda/alpha is 6.528508606867661
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34485048249412725
the lambda is 2.0
the regulation term lambda/alpha is 5.799614910018459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33792931751260197
the lambda is 2.0
the regulation term lambda/alpha is 5.918397417310254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26813152529168105
the lambda is 2.0
the regulation term lambda/alpha is 7.459025930741801
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27726449301999595
the lambda is 2.0
the regulation term lambda/alpha is 7.213328970528378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2662337861108285
the lambda is 2.0
the regulation term lambda/alpha is 7.512194561089384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33864806057271046
the lambda is 2.0
the regulation term lambda/alpha is 5.905836273261586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3510492041056773
the lambda is 2.0
the regulation term lambda/alpha is 5.697207048496639
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3317812033808073
the lambda is 2.0
the regulation term lambda/alpha is 6.028069039536478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.362376892987291
the lambda is 2.0
the regulation term lambda/alpha is 5.519115701646414
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.347850209833627
the lambda is 2.0
the regulation term lambda/alpha is 5.749601246342724
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2909334765204136
the lambda is 2.0
the regulation term lambda/alpha is 6.8744237477245695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2939135814366307
the lambda is 2.0
the regulation term lambda/alpha is 6.80472127291338
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.300649029269063
the lambda is 2.0
the regulation term lambda/alpha is 6.652274929549561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168395825681461
the lambda is 2.0
the regulation term lambda/alpha is 6.312342617639444
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34010110369744784
the lambda is 2.0
the regulation term lambda/alpha is 5.880604262252525
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2960253246071388
the lambda is 2.0
the regulation term lambda/alpha is 6.756178724419069
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26409260351797964
the lambda is 2.0
the regulation term lambda/alpha is 7.573101152239723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2704038033275396
the lambda is 2.0
the regulation term lambda/alpha is 7.396345670395042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34687948866304535
the lambda is 2.0
the regulation term lambda/alpha is 5.76569115605096
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3112895897438817
the lambda is 2.0
the regulation term lambda/alpha is 6.424885591726761
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2902088506701789
the lambda is 2.0
the regulation term lambda/alpha is 6.8915885762319204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34853042886700647
the lambda is 2.0
the regulation term lambda/alpha is 5.738379878341031
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37179224363987284
the lambda is 2.0
the regulation term lambda/alpha is 5.379348370530423
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31991107458131995
the lambda is 2.0
the regulation term lambda/alpha is 6.251737307367298
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3342163441028333
the lambda is 2.0
the regulation term lambda/alpha is 5.984147799141236
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3394876372463474
the lambda is 2.0
the regulation term lambda/alpha is 5.891230727052104
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3148041942802606
the lambda is 2.0
the regulation term lambda/alpha is 6.353155505353468
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3600606874572397
the lambda is 2.0
the regulation term lambda/alpha is 5.554619178572549
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028241431225132
the lambda is 2.0
the regulation term lambda/alpha is 6.604493219653436
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28794743041052906
the lambda is 2.0
the regulation term lambda/alpha is 6.945712268203204
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32286151094710575
the lambda is 2.0
the regulation term lambda/alpha is 6.194606455669035
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32102617802425687
the lambda is 2.0
the regulation term lambda/alpha is 6.2300215275555475
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34554183128286753
the lambda is 2.0
the regulation term lambda/alpha is 5.788011230289393
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2963705272303047
the lambda is 2.0
the regulation term lambda/alpha is 6.748309350092131
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37910512668809276
the lambda is 2.0
the regulation term lambda/alpha is 5.275581518699672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36542350777265664
the lambda is 2.0
the regulation term lambda/alpha is 5.473101640861795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3016012863647147
the lambda is 2.0
the regulation term lambda/alpha is 6.631271451480076
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149596955736928
the lambda is 2.0
the regulation term lambda/alpha is 6.350018837670769
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31179382409800066
the lambda is 2.0
the regulation term lambda/alpha is 6.414495238274428
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3058910369301732
the lambda is 2.0
the regulation term lambda/alpha is 6.53827591704345
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3167754762155735
the lambda is 2.0
the regulation term lambda/alpha is 6.313620056367466
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31225975115024457
the lambda is 2.0
the regulation term lambda/alpha is 6.4049240820591535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30109726399386616
the lambda is 2.0
the regulation term lambda/alpha is 6.6423718816679225
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3517025316927697
the lambda is 2.0
the regulation term lambda/alpha is 5.686623836268267
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3062762812842398
the lambda is 2.0
the regulation term lambda/alpha is 6.530051859105274
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3218972261415682
the lambda is 2.0
the regulation term lambda/alpha is 6.213163201103242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3042658439721546
the lambda is 2.0
the regulation term lambda/alpha is 6.573199192818479
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3254739154236978
the lambda is 2.0
the regulation term lambda/alpha is 6.14488567354599
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30289956020087305
the lambda is 2.0
the regulation term lambda/alpha is 6.602848807946983
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31822944799027336
the lambda is 2.0
the regulation term lambda/alpha is 6.284773494818524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.341001580273659
the lambda is 2.0
the regulation term lambda/alpha is 5.865075459166404
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30393977682641743
the lambda is 2.0
the regulation term lambda/alpha is 6.580250932875485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30848239210428596
the lambda is 2.0
the regulation term lambda/alpha is 6.483352214553229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33611242502684363
the lambda is 2.0
the regulation term lambda/alpha is 5.95038996204996
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35954865226126514
the lambda is 2.0
the regulation term lambda/alpha is 5.562529542029002
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3123375733361123
the lambda is 2.0
the regulation term lambda/alpha is 6.403328227973913
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31086618947196853
the lambda is 2.0
the regulation term lambda/alpha is 6.433636296688174
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2986057344881092
the lambda is 2.0
the regulation term lambda/alpha is 6.697795015318577
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28568363418113485
the lambda is 2.0
the regulation term lambda/alpha is 7.000751043134379
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30081970044662276
the lambda is 2.0
the regulation term lambda/alpha is 6.648500736589486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31152714419654937
the lambda is 2.0
the regulation term lambda/alpha is 6.419986306997877
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.296774790931923
the lambda is 2.0
the regulation term lambda/alpha is 6.739116869460718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2824767518370204
the lambda is 2.0
the regulation term lambda/alpha is 7.080228680744434
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26965445388063125
the lambda is 2.0
the regulation term lambda/alpha is 7.416899558741744
960
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36224734908928324
the lambda is 2.0
the regulation term lambda/alpha is 5.521089402111978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332813275618474
the lambda is 2.0
the regulation term lambda/alpha is 6.009375666530602
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27931658954079114
the lambda is 2.0
the regulation term lambda/alpha is 7.160333739174206
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31418116455526485
the lambda is 2.0
the regulation term lambda/alpha is 6.36575398411001
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33291862168104486
the lambda is 2.0
the regulation term lambda/alpha is 6.0074741085409
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3296520892647641
the lambda is 2.0
the regulation term lambda/alpha is 6.0670023492363665
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3388517979023213
the lambda is 2.0
the regulation term lambda/alpha is 5.902285342385959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3245092278213677
the lambda is 2.0
the regulation term lambda/alpha is 6.1631529353641
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30541432410435115
the lambda is 2.0
the regulation term lambda/alpha is 6.5484813322529645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3187676697305449
the lambda is 2.0
the regulation term lambda/alpha is 6.274161999209659
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3078826470028072
the lambda is 2.0
the regulation term lambda/alpha is 6.4959815678788955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3025754626007226
the lambda is 2.0
the regulation term lambda/alpha is 6.609921316188128
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3024296058825901
the lambda is 2.0
the regulation term lambda/alpha is 6.6131091701929625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3309716142985829
the lambda is 2.0
the regulation term lambda/alpha is 6.04281428858645
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.320654167770103
the lambda is 2.0
the regulation term lambda/alpha is 6.237249351562848
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2858137750725035
the lambda is 2.0
the regulation term lambda/alpha is 6.9975633591930695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3093674599871871
the lambda is 2.0
the regulation term lambda/alpha is 6.4648040232894335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27952370696506973
the lambda is 2.0
the regulation term lambda/alpha is 7.155028178879751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31105778175193405
the lambda is 2.0
the regulation term lambda/alpha is 6.429673576194223
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.333012331380023
the lambda is 2.0
the regulation term lambda/alpha is 6.005783604804905
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2989275393667107
the lambda is 2.0
the regulation term lambda/alpha is 6.69058462876012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.290274475306008
the lambda is 2.0
the regulation term lambda/alpha is 6.890030540548203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199301051468648
the lambda is 2.0
the regulation term lambda/alpha is 6.251365432089907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35658101426784033
the lambda is 2.0
the regulation term lambda/alpha is 5.608823577179381
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31923973668743333
the lambda is 2.0
the regulation term lambda/alpha is 6.264884255177149
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996227336628198
the lambda is 2.0
the regulation term lambda/alpha is 6.675060919278237
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2991384103313913
the lambda is 2.0
the regulation term lambda/alpha is 6.685868250033024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3088795619124415
the lambda is 2.0
the regulation term lambda/alpha is 6.475015658585215
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249830254872052
the lambda is 2.0
the regulation term lambda/alpha is 6.154167581527243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3193849375349943
the lambda is 2.0
the regulation term lambda/alpha is 6.262036072946817
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29629989881055213
the lambda is 2.0
the regulation term lambda/alpha is 6.749917931219941
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199462471126343
the lambda is 2.0
the regulation term lambda/alpha is 6.251050037464316
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028136635527828
the lambda is 2.0
the regulation term lambda/alpha is 6.604721783471915
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30129760761080177
the lambda is 2.0
the regulation term lambda/alpha is 6.637955129678562
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3246001901628492
the lambda is 2.0
the regulation term lambda/alpha is 6.16142584203853
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28942925237234113
the lambda is 2.0
the regulation term lambda/alpha is 6.910151560724299
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33529039887114753
the lambda is 2.0
the regulation term lambda/alpha is 5.964978438790912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3290633645288317
the lambda is 2.0
the regulation term lambda/alpha is 6.077856776501672
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3164044568834436
the lambda is 2.0
the regulation term lambda/alpha is 6.321023476406832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35338035156092557
the lambda is 2.0
the regulation term lambda/alpha is 5.659624229716643
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2916527084756323
the lambda is 2.0
the regulation term lambda/alpha is 6.857471032768073
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31671962294946737
the lambda is 2.0
the regulation term lambda/alpha is 6.314733458492087
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3126217434271195
the lambda is 2.0
the regulation term lambda/alpha is 6.397507665573663
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3185600471830702
the lambda is 2.0
the regulation term lambda/alpha is 6.278251204711303
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3123431980719625
the lambda is 2.0
the regulation term lambda/alpha is 6.403212915618572
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31913974923685123
the lambda is 2.0
the regulation term lambda/alpha is 6.266847062399894
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2866338554998307
the lambda is 2.0
the regulation term lambda/alpha is 6.9775428185634585
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34731630450538403
the lambda is 2.0
the regulation term lambda/alpha is 5.758439710592384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30942491177660675
the lambda is 2.0
the regulation term lambda/alpha is 6.463603685032075
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3325865950231803
the lambda is 2.0
the regulation term lambda/alpha is 6.013471468567776
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34261379749274246
the lambda is 2.0
the regulation term lambda/alpha is 5.8374765249854415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3149561669265653
the lambda is 2.0
the regulation term lambda/alpha is 6.350089980826814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3093454873426469
the lambda is 2.0
the regulation term lambda/alpha is 6.4652632148620865
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33989278888047275
the lambda is 2.0
the regulation term lambda/alpha is 5.884208389908864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3150827878488794
the lambda is 2.0
the regulation term lambda/alpha is 6.347538098333838
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32887804925052844
the lambda is 2.0
the regulation term lambda/alpha is 6.081281510145622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30813688971750136
the lambda is 2.0
the regulation term lambda/alpha is 6.490621755264654
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26082105927347965
the lambda is 2.0
the regulation term lambda/alpha is 7.668092467575376
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33152395960315867
the lambda is 2.0
the regulation term lambda/alpha is 6.032746478999718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33273667664728346
the lambda is 2.0
the regulation term lambda/alpha is 6.010759078777763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30732636474750447
the lambda is 2.0
the regulation term lambda/alpha is 6.507739749706066
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3187540326703215
the lambda is 2.0
the regulation term lambda/alpha is 6.2744304228726255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31808439536538524
the lambda is 2.0
the regulation term lambda/alpha is 6.287639472859363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3067237504080581
the lambda is 2.0
the regulation term lambda/alpha is 6.5205253826586524
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31441699756445934
the lambda is 2.0
the regulation term lambda/alpha is 6.360979258412947
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.329313924592565
the lambda is 2.0
the regulation term lambda/alpha is 6.073232410304081
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2737603135221237
the lambda is 2.0
the regulation term lambda/alpha is 7.305660832531052
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3469863231666036
the lambda is 2.0
the regulation term lambda/alpha is 5.76391594270334
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2995821974486943
the lambda is 2.0
the regulation term lambda/alpha is 6.67596411613382
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213011935735568
the lambda is 2.0
the regulation term lambda/alpha is 6.224688983429288
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3581628874375159
the lambda is 2.0
the regulation term lambda/alpha is 5.5840514753190735
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3246740543732564
the lambda is 2.0
the regulation term lambda/alpha is 6.160024101281378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3249646374617561
the lambda is 2.0
the regulation term lambda/alpha is 6.154515813233287
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2823358761682416
the lambda is 2.0
the regulation term lambda/alpha is 7.08376146575229
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30901565139954285
the lambda is 2.0
the regulation term lambda/alpha is 6.472164082763864
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2876366815085247
the lambda is 2.0
the regulation term lambda/alpha is 6.953216083257885
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34153937396312967
the lambda is 2.0
the regulation term lambda/alpha is 5.855840211898692
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28123089067123597
the lambda is 2.0
the regulation term lambda/alpha is 7.111594303266053
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30674922811300953
the lambda is 2.0
the regulation term lambda/alpha is 6.519983806652578
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32005799264992646
the lambda is 2.0
the regulation term lambda/alpha is 6.2488675362891595
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31897341162888426
the lambda is 2.0
the regulation term lambda/alpha is 6.270115085099753
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3334876802229847
the lambda is 2.0
the regulation term lambda/alpha is 5.997223041830844
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28058809226581677
the lambda is 2.0
the regulation term lambda/alpha is 7.127886232981292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.304555041925812
the lambda is 2.0
the regulation term lambda/alpha is 6.566957445042691
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3232412814245587
the lambda is 2.0
the regulation term lambda/alpha is 6.187328521857689
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33741965351454567
the lambda is 2.0
the regulation term lambda/alpha is 5.927337009472043
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3058643085826312
the lambda is 2.0
the regulation term lambda/alpha is 6.5388472727267795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30753523141168204
the lambda is 2.0
the regulation term lambda/alpha is 6.503319931246186
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3085440265556819
the lambda is 2.0
the regulation term lambda/alpha is 6.482057106489036
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32079113056184866
the lambda is 2.0
the regulation term lambda/alpha is 6.234586338148146
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32681439265743645
the lambda is 2.0
the regulation term lambda/alpha is 6.119681522399718
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35300306596633596
the lambda is 2.0
the regulation term lambda/alpha is 5.665673170642459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3307993964849041
the lambda is 2.0
the regulation term lambda/alpha is 6.0459602443418285
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2804267512769987
the lambda is 2.0
the regulation term lambda/alpha is 7.131987197699441
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30193294198035975
the lambda is 2.0
the regulation term lambda/alpha is 6.623987388994795
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33057250202120614
the lambda is 2.0
the regulation term lambda/alpha is 6.050109999384342
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.303915099786527
the lambda is 2.0
the regulation term lambda/alpha is 6.580785230496346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31726192141103565
the lambda is 2.0
the regulation term lambda/alpha is 6.303939631661173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32694182932395766
the lambda is 2.0
the regulation term lambda/alpha is 6.117296168971561
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3321070055072093
the lambda is 2.0
the regulation term lambda/alpha is 6.022155410258531
970
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.324000373943861
the lambda is 2.0
the regulation term lambda/alpha is 6.172832381812426
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31728003255186915
the lambda is 2.0
the regulation term lambda/alpha is 6.303579786960085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29189826718513084
the lambda is 2.0
the regulation term lambda/alpha is 6.851702201889189
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32027326568583675
the lambda is 2.0
the regulation term lambda/alpha is 6.2446673334322105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3074473692769289
the lambda is 2.0
the regulation term lambda/alpha is 6.5051784463262985
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2910517570910874
the lambda is 2.0
the regulation term lambda/alpha is 6.871630049545041
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096737021835473
the lambda is 2.0
the regulation term lambda/alpha is 6.458410856000217
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3226416443793293
the lambda is 2.0
the regulation term lambda/alpha is 6.198827816686314
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3164097025239587
the lambda is 2.0
the regulation term lambda/alpha is 6.320918682474849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2904259018683592
the lambda is 2.0
the regulation term lambda/alpha is 6.886438114278582
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2713428699178319
the lambda is 2.0
the regulation term lambda/alpha is 7.370748310451792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3058587808235791
the lambda is 2.0
the regulation term lambda/alpha is 6.5389654487428635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30341458567938484
the lambda is 2.0
the regulation term lambda/alpha is 6.59164092432056
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29671137637509976
the lambda is 2.0
the regulation term lambda/alpha is 6.7405571853491
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3916165222642851
the lambda is 2.0
the regulation term lambda/alpha is 5.107036823768856
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3352319898281706
the lambda is 2.0
the regulation term lambda/alpha is 5.966017744980535
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3286339260563057
the lambda is 2.0
the regulation term lambda/alpha is 6.085798943525188
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3044636065782667
the lambda is 2.0
the regulation term lambda/alpha is 6.568929608622604
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28276932453903003
the lambda is 2.0
the regulation term lambda/alpha is 7.072902986419747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30313151322760923
the lambda is 2.0
the regulation term lambda/alpha is 6.5977963778984625
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33237022576292435
the lambda is 2.0
the regulation term lambda/alpha is 6.01738617052472
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3512933218731746
the lambda is 2.0
the regulation term lambda/alpha is 5.693247993829067
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27215107862997817
the lambda is 2.0
the regulation term lambda/alpha is 7.348859354400129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32924762844558636
the lambda is 2.0
the regulation term lambda/alpha is 6.074455295068384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33301103977111246
the lambda is 2.0
the regulation term lambda/alpha is 6.005806898698176
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2768154701662719
the lambda is 2.0
the regulation term lambda/alpha is 7.225029723948162
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2959154898291799
the lambda is 2.0
the regulation term lambda/alpha is 6.758686411294384
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2825169847896475
the lambda is 2.0
the regulation term lambda/alpha is 7.079220392675264
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32373922774111086
the lambda is 2.0
the regulation term lambda/alpha is 6.1778117343239245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332718157565503
the lambda is 2.0
the regulation term lambda/alpha is 6.011093637431721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3207254907322822
the lambda is 2.0
the regulation term lambda/alpha is 6.235862311516272
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28854738602633806
the lambda is 2.0
the regulation term lambda/alpha is 6.931270553313707
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3517760599473434
the lambda is 2.0
the regulation term lambda/alpha is 5.685435217789908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33645432364434547
the lambda is 2.0
the regulation term lambda/alpha is 5.944343286591653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3205237045203378
the lambda is 2.0
the regulation term lambda/alpha is 6.2397881086298765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32847969915096226
the lambda is 2.0
the regulation term lambda/alpha is 6.088656331485626
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34722342407633433
the lambda is 2.0
the regulation term lambda/alpha is 5.759980062751515
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3304510551391344
the lambda is 2.0
the regulation term lambda/alpha is 6.052333526845336
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2901333112201804
the lambda is 2.0
the regulation term lambda/alpha is 6.893382878335581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29899401962494815
the lambda is 2.0
the regulation term lambda/alpha is 6.689097001032858
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3277077853477185
the lambda is 2.0
the regulation term lambda/alpha is 6.102998126449375
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31672873846799365
the lambda is 2.0
the regulation term lambda/alpha is 6.314551719158588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34540014829499344
the lambda is 2.0
the regulation term lambda/alpha is 5.790385469932903
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3553522729172762
the lambda is 2.0
the regulation term lambda/alpha is 5.6282178346037695
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.332442736332796
the lambda is 2.0
the regulation term lambda/alpha is 6.016073691554129
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2793072201597336
the lambda is 2.0
the regulation term lambda/alpha is 7.160573933091367
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3340713375973239
the lambda is 2.0
the regulation term lambda/alpha is 5.986745269391292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3557368805759658
the lambda is 2.0
the regulation term lambda/alpha is 5.622132843695722
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3058275346932207
the lambda is 2.0
the regulation term lambda/alpha is 6.539633529094181
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31594276964491846
the lambda is 2.0
the regulation term lambda/alpha is 6.33026038939824
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32312006627042206
the lambda is 2.0
the regulation term lambda/alpha is 6.189649634220433
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3310800465864464
the lambda is 2.0
the regulation term lambda/alpha is 6.040835201700358
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.284818447827127
the lambda is 2.0
the regulation term lambda/alpha is 7.02201706124709
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33369923743001656
the lambda is 2.0
the regulation term lambda/alpha is 5.993420948165757
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29908246065234045
the lambda is 2.0
the regulation term lambda/alpha is 6.687118982630148
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35721224449469885
the lambda is 2.0
the regulation term lambda/alpha is 5.598912217662463
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2627197046783402
the lambda is 2.0
the regulation term lambda/alpha is 7.612676036038834
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34102144935215084
the lambda is 2.0
the regulation term lambda/alpha is 5.86473373976758
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.311947183743692
the lambda is 2.0
the regulation term lambda/alpha is 6.411341740604647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31276782314077034
the lambda is 2.0
the regulation term lambda/alpha is 6.394519678898814
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2952798681085681
the lambda is 2.0
the regulation term lambda/alpha is 6.77323521177083
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.290647364635162
the lambda is 2.0
the regulation term lambda/alpha is 6.881190897810203
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3168237601466918
the lambda is 2.0
the regulation term lambda/alpha is 6.312657860868721
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2967263446004194
the lambda is 2.0
the regulation term lambda/alpha is 6.740217161011638
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31140956935792935
the lambda is 2.0
the regulation term lambda/alpha is 6.422410217269948
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31262961755426655
the lambda is 2.0
the regulation term lambda/alpha is 6.397346533083476
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30739796381121515
the lambda is 2.0
the regulation term lambda/alpha is 6.506223968445922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2899542167657056
the lambda is 2.0
the regulation term lambda/alpha is 6.897640676893754
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2976591369385885
the lambda is 2.0
the regulation term lambda/alpha is 6.719094937148292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3028108934804793
the lambda is 2.0
the regulation term lambda/alpha is 6.604782202556164
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32340550638234583
the lambda is 2.0
the regulation term lambda/alpha is 6.184186603290242
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34807131207327824
the lambda is 2.0
the regulation term lambda/alpha is 5.745948978348859
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2966548382229135
the lambda is 2.0
the regulation term lambda/alpha is 6.741841838753873
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30912089268410786
the lambda is 2.0
the regulation term lambda/alpha is 6.469960611959703
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33488891764173456
the lambda is 2.0
the regulation term lambda/alpha is 5.972129546966997
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27332119693490214
the lambda is 2.0
the regulation term lambda/alpha is 7.317398073872576
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3507768691295635
the lambda is 2.0
the regulation term lambda/alpha is 5.701630227109635
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3058204439795937
the lambda is 2.0
the regulation term lambda/alpha is 6.539785156199214
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3072105221784813
the lambda is 2.0
the regulation term lambda/alpha is 6.51019368027392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3593717829340391
the lambda is 2.0
the regulation term lambda/alpha is 5.565267210662141
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3227925666531489
the lambda is 2.0
the regulation term lambda/alpha is 6.195929543040143
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3362615551991952
the lambda is 2.0
the regulation term lambda/alpha is 5.947750996438581
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29460072734498055
the lambda is 2.0
the regulation term lambda/alpha is 6.7888494981819205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28180230257338695
the lambda is 2.0
the regulation term lambda/alpha is 7.097174088842514
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31960857727213876
the lambda is 2.0
the regulation term lambda/alpha is 6.2576543379092415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.319640505086615
the lambda is 2.0
the regulation term lambda/alpha is 6.257029281874171
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2879371523967712
the lambda is 2.0
the regulation term lambda/alpha is 6.945960197744968
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3194024908206999
the lambda is 2.0
the regulation term lambda/alpha is 6.261691932523852
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3029964237278441
the lambda is 2.0
the regulation term lambda/alpha is 6.600737973714271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30762447353679395
the lambda is 2.0
the regulation term lambda/alpha is 6.501433312524748
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3191011038459317
the lambda is 2.0
the regulation term lambda/alpha is 6.267606021712916
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3218954698097495
the lambda is 2.0
the regulation term lambda/alpha is 6.213197101475408
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32094822746325447
the lambda is 2.0
the regulation term lambda/alpha is 6.231534649085984
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32153443729630593
the lambda is 2.0
the regulation term lambda/alpha is 6.220173542894647
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.277330979241264
the lambda is 2.0
the regulation term lambda/alpha is 7.2115996758519385
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31597221004835113
the lambda is 2.0
the regulation term lambda/alpha is 6.329670573541747
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3969500404257258
the lambda is 2.0
the regulation term lambda/alpha is 5.038417423651137
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32047765141260987
the lambda is 2.0
the regulation term lambda/alpha is 6.240684775316928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3228997825023386
the lambda is 2.0
the regulation term lambda/alpha is 6.19387224265323
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29172935348300105
the lambda is 2.0
the regulation term lambda/alpha is 6.855669393983486
980
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184747516528351
the lambda is 2.0
the regulation term lambda/alpha is 6.279932677929119
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282507066007413
the lambda is 2.0
the regulation term lambda/alpha is 6.092903868239483
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37406608176673944
the lambda is 2.0
the regulation term lambda/alpha is 5.346648887688144
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31936644991086244
the lambda is 2.0
the regulation term lambda/alpha is 6.262398572418032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3482873480711151
the lambda is 2.0
the regulation term lambda/alpha is 5.742384875811307
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30698298938374946
the lambda is 2.0
the regulation term lambda/alpha is 6.51501897227232
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30342809565331613
the lambda is 2.0
the regulation term lambda/alpha is 6.591347435028277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3279171306560082
the lambda is 2.0
the regulation term lambda/alpha is 6.0991019163864335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3138999525128054
the lambda is 2.0
the regulation term lambda/alpha is 6.37145684155021
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3204380977225012
the lambda is 2.0
the regulation term lambda/alpha is 6.241455102295596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3208853910094712
the lambda is 2.0
the regulation term lambda/alpha is 6.2327549213387785
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34878423391572055
the lambda is 2.0
the regulation term lambda/alpha is 5.734204145486907
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31476393956891346
the lambda is 2.0
the regulation term lambda/alpha is 6.353968001350822
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34131006975677164
the lambda is 2.0
the regulation term lambda/alpha is 5.859774372977813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3250004456027543
the lambda is 2.0
the regulation term lambda/alpha is 6.15383771640912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3014153337027839
the lambda is 2.0
the regulation term lambda/alpha is 6.635362492779271
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010143347417786
the lambda is 2.0
the regulation term lambda/alpha is 6.644201850771244
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28870303511818407
the lambda is 2.0
the regulation term lambda/alpha is 6.927533682426566
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3027015687000573
the lambda is 2.0
the regulation term lambda/alpha is 6.607167609302254
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32712893471842514
the lambda is 2.0
the regulation term lambda/alpha is 6.113797306623126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2729006765152941
the lambda is 2.0
the regulation term lambda/alpha is 7.328673660828813
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3172596562663587
the lambda is 2.0
the regulation term lambda/alpha is 6.303984640016374
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29977499691592724
the lambda is 2.0
the regulation term lambda/alpha is 6.671670488119147
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29244714136356187
the lambda is 2.0
the regulation term lambda/alpha is 6.83884270735154
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2746928381361814
the lambda is 2.0
the regulation term lambda/alpha is 7.280859645159305
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34590014291276294
the lambda is 2.0
the regulation term lambda/alpha is 5.782015535346009
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3314501094999943
the lambda is 2.0
the regulation term lambda/alpha is 6.0340906298600405
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33419673539297934
the lambda is 2.0
the regulation term lambda/alpha is 5.984498913935277
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3020422348917897
the lambda is 2.0
the regulation term lambda/alpha is 6.621590522651656
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.39056448466650423
the lambda is 2.0
the regulation term lambda/alpha is 5.120793309478108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3246072690434976
the lambda is 2.0
the regulation term lambda/alpha is 6.1612914765996765
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3684152860707028
the lambda is 2.0
the regulation term lambda/alpha is 5.428656398410621
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33176345104039445
the lambda is 2.0
the regulation term lambda/alpha is 6.028391595662797
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3500779443658546
the lambda is 2.0
the regulation term lambda/alpha is 5.713013436544485
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30890144055350993
the lambda is 2.0
the regulation term lambda/alpha is 6.474557051000696
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36088809740511946
the lambda is 2.0
the regulation term lambda/alpha is 5.541884075369976
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3110591011742246
the lambda is 2.0
the regulation term lambda/alpha is 6.429646303387849
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3282033727104861
the lambda is 2.0
the regulation term lambda/alpha is 6.093782594258209
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32579313391044523
the lambda is 2.0
the regulation term lambda/alpha is 6.1388647943383745
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32870599181473614
the lambda is 2.0
the regulation term lambda/alpha is 6.084464688210586
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3135508924254485
the lambda is 2.0
the regulation term lambda/alpha is 6.378549856864243
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31892543322539535
the lambda is 2.0
the regulation term lambda/alpha is 6.271058346690502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34555780249645046
the lambda is 2.0
the regulation term lambda/alpha is 5.78774371625003
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33431073555489027
the lambda is 2.0
the regulation term lambda/alpha is 5.98245819620597
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3072663610703858
the lambda is 2.0
the regulation term lambda/alpha is 6.509010595995108
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3383154480350379
the lambda is 2.0
the regulation term lambda/alpha is 5.911642556129653
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3274032642177515
the lambda is 2.0
the regulation term lambda/alpha is 6.10867458752588
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3096038613772483
the lambda is 2.0
the regulation term lambda/alpha is 6.459867751982026
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30139886023206275
the lambda is 2.0
the regulation term lambda/alpha is 6.635725159876502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29491761794220617
the lambda is 2.0
the regulation term lambda/alpha is 6.781554842179459
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3203684968857343
the lambda is 2.0
the regulation term lambda/alpha is 6.242811073628563
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32257403305727655
the lambda is 2.0
the regulation term lambda/alpha is 6.200127087244118
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3184416129770416
the lambda is 2.0
the regulation term lambda/alpha is 6.280586200096255
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35307738402689404
the lambda is 2.0
the regulation term lambda/alpha is 5.664480622320628
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2882642684737297
the lambda is 2.0
the regulation term lambda/alpha is 6.938078071865731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3817712023941999
the lambda is 2.0
the regulation term lambda/alpha is 5.238739819707221
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31552510110231546
the lambda is 2.0
the regulation term lambda/alpha is 6.338639914900017
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29113204258332365
the lambda is 2.0
the regulation term lambda/alpha is 6.869735059917318
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3086347626858494
the lambda is 2.0
the regulation term lambda/alpha is 6.480151433996901
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3200849920869682
the lambda is 2.0
the regulation term lambda/alpha is 6.248340439081233
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34954372266253353
the lambda is 2.0
the regulation term lambda/alpha is 5.721744864321014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2759181020050334
the lambda is 2.0
the regulation term lambda/alpha is 7.248527680737363
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3023850334409157
the lambda is 2.0
the regulation term lambda/alpha is 6.614083961899484
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.301795131425165
the lambda is 2.0
the regulation term lambda/alpha is 6.627012140836779
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3472266391792168
the lambda is 2.0
the regulation term lambda/alpha is 5.759926728915878
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3514390674923637
the lambda is 2.0
the regulation term lambda/alpha is 5.690886941712755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30982653765793156
the lambda is 2.0
the regulation term lambda/alpha is 6.455224962711648
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2901582965837441
the lambda is 2.0
the regulation term lambda/alpha is 6.892789293111837
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31534996591797704
the lambda is 2.0
the regulation term lambda/alpha is 6.342160190752019
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3389632139444005
the lambda is 2.0
the regulation term lambda/alpha is 5.900345281503191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28062390411441807
the lambda is 2.0
the regulation term lambda/alpha is 7.126976607041092
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32603706114285286
the lambda is 2.0
the regulation term lambda/alpha is 6.134271953591502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2824936460400955
the lambda is 2.0
the regulation term lambda/alpha is 7.0798052559247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3278702165148811
the lambda is 2.0
the regulation term lambda/alpha is 6.09997462184622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.310030053474535
the lambda is 2.0
the regulation term lambda/alpha is 6.450987501327107
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33300989721639257
the lambda is 2.0
the regulation term lambda/alpha is 6.005827504581293
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3094033564375397
the lambda is 2.0
the regulation term lambda/alpha is 6.464053987739292
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114370348875001
the lambda is 2.0
the regulation term lambda/alpha is 6.42184382702737
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3446152905074964
the lambda is 2.0
the regulation term lambda/alpha is 5.803573013416519
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3089124207928109
the lambda is 2.0
the regulation term lambda/alpha is 6.474326913974786
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3051980943752105
the lambda is 2.0
the regulation term lambda/alpha is 6.553120864317063
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3611827100634327
the lambda is 2.0
the regulation term lambda/alpha is 5.53736362310574
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3337773532474609
the lambda is 2.0
the regulation term lambda/alpha is 5.992018273682007
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27788158271257113
the lambda is 2.0
the regulation term lambda/alpha is 7.1973103811946935
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34902540080451927
the lambda is 2.0
the regulation term lambda/alpha is 5.7302419691802085
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3804834399576733
the lambda is 2.0
the regulation term lambda/alpha is 5.2564705581469955
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3122710400646663
the lambda is 2.0
the regulation term lambda/alpha is 6.404692537565546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34892560693121255
the lambda is 2.0
the regulation term lambda/alpha is 5.73188083726478
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29585536565615667
the lambda is 2.0
the regulation term lambda/alpha is 6.760059921726759
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31078165384661016
the lambda is 2.0
the regulation term lambda/alpha is 6.435386308186399
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.36479497902590435
the lambda is 2.0
the regulation term lambda/alpha is 5.4825315999154105
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3175971846503436
the lambda is 2.0
the regulation term lambda/alpha is 6.29728504111863
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35084522330643253
the lambda is 2.0
the regulation term lambda/alpha is 5.700519394710914
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31500767341180524
the lambda is 2.0
the regulation term lambda/alpha is 6.349051686069333
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3855325463434915
the lambda is 2.0
the regulation term lambda/alpha is 5.187629472449502
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28451837314327444
the lambda is 2.0
the regulation term lambda/alpha is 7.02942301372173
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32154287193826275
the lambda is 2.0
the regulation term lambda/alpha is 6.220010376669169
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3370860051347914
the lambda is 2.0
the regulation term lambda/alpha is 5.933203899106565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3008617073839497
the lambda is 2.0
the regulation term lambda/alpha is 6.647572459088876
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2631059241132436
the lambda is 2.0
the regulation term lambda/alpha is 7.60150120808066
990
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29585555657344104
the lambda is 2.0
the regulation term lambda/alpha is 6.760055559421391
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30596277939290417
the lambda is 2.0
the regulation term lambda/alpha is 6.536742815477194
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31155858307374296
the lambda is 2.0
the regulation term lambda/alpha is 6.419338476470792
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30404272631532797
the lambda is 2.0
the regulation term lambda/alpha is 6.578022846452723
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3391433196388041
the lambda is 2.0
the regulation term lambda/alpha is 5.897211839909006
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3222766181357454
the lambda is 2.0
the regulation term lambda/alpha is 6.2058489119355995
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.278969511066691
the lambda is 2.0
the regulation term lambda/alpha is 7.169242231355799
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30506399590318933
the lambda is 2.0
the regulation term lambda/alpha is 6.55600145169111
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32898379199180483
the lambda is 2.0
the regulation term lambda/alpha is 6.07932685039335
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3176851769550568
the lambda is 2.0
the regulation term lambda/alpha is 6.295540821795854
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3182221395143787
the lambda is 2.0
the regulation term lambda/alpha is 6.284917834604751
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30458193807759854
the lambda is 2.0
the regulation term lambda/alpha is 6.566377548922349
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2993745540583884
the lambda is 2.0
the regulation term lambda/alpha is 6.680594502396922
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3186414599488372
the lambda is 2.0
the regulation term lambda/alpha is 6.276647114035728
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3242650046308766
the lambda is 2.0
the regulation term lambda/alpha is 6.167794771059793
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3065019268227044
the lambda is 2.0
the regulation term lambda/alpha is 6.525244460067937
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3324912588833825
the lambda is 2.0
the regulation term lambda/alpha is 6.015195727901759
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.275431533672936
the lambda is 2.0
the regulation term lambda/alpha is 7.2613326924829185
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199258837420171
the lambda is 2.0
the regulation term lambda/alpha is 6.251447918520925
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28179698372842055
the lambda is 2.0
the regulation term lambda/alpha is 7.09730804616235
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34287621339609
the lambda is 2.0
the regulation term lambda/alpha is 5.833008887349102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2995442427039336
the lambda is 2.0
the regulation term lambda/alpha is 6.67681001626454
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35437358914614536
the lambda is 2.0
the regulation term lambda/alpha is 5.643761446271862
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3102468931824519
the lambda is 2.0
the regulation term lambda/alpha is 6.446478736610032
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3578596568138731
the lambda is 2.0
the regulation term lambda/alpha is 5.588783093927302
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.26405724703748396
the lambda is 2.0
the regulation term lambda/alpha is 7.574115167973755
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3213029273018005
the lambda is 2.0
the regulation term lambda/alpha is 6.224655395440565
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2966170188821449
the lambda is 2.0
the regulation term lambda/alpha is 6.742701438836392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30116086254876906
the lambda is 2.0
the regulation term lambda/alpha is 6.64096915872037
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3226375964114438
the lambda is 2.0
the regulation term lambda/alpha is 6.198905590188872
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3209863406130999
the lambda is 2.0
the regulation term lambda/alpha is 6.230794731576117
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.279730745000251
the lambda is 2.0
the regulation term lambda/alpha is 7.149732504370248
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30722669376388473
the lambda is 2.0
the regulation term lambda/alpha is 6.509851001218909
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34710577151718697
the lambda is 2.0
the regulation term lambda/alpha is 5.761932425548763
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.301843687618104
the lambda is 2.0
the regulation term lambda/alpha is 6.625946084154731
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3010076941421377
the lambda is 2.0
the regulation term lambda/alpha is 6.644348430029127
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3060820060341202
the lambda is 2.0
the regulation term lambda/alpha is 6.534196589710836
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3527230043271571
the lambda is 2.0
the regulation term lambda/alpha is 5.670171708293126
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3540710427222556
the lambda is 2.0
the regulation term lambda/alpha is 5.64858392435346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3171385835129191
the lambda is 2.0
the regulation term lambda/alpha is 6.306391287512725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2918383568305207
the lambda is 2.0
the regulation term lambda/alpha is 6.853108761030546
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29444499879073893
the lambda is 2.0
the regulation term lambda/alpha is 6.792440042160109
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3491512637368749
the lambda is 2.0
the regulation term lambda/alpha is 5.728176317033832
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3329105794815677
the lambda is 2.0
the regulation term lambda/alpha is 6.007619232511456
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3120924388678518
the lambda is 2.0
the regulation term lambda/alpha is 6.40835775213014
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3144233282589596
the lambda is 2.0
the regulation term lambda/alpha is 6.36085118453042
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28802800774909115
the lambda is 2.0
the regulation term lambda/alpha is 6.9437691689422545
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29798699135611
the lambda is 2.0
the regulation term lambda/alpha is 6.711702383040928
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2778367133765037
the lambda is 2.0
the regulation term lambda/alpha is 7.198472713322622
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3129712404147251
the lambda is 2.0
the regulation term lambda/alpha is 6.390363527810912
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2802785647530409
the lambda is 2.0
the regulation term lambda/alpha is 7.135757961948465
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3206644716796862
the lambda is 2.0
the regulation term lambda/alpha is 6.2370489300661065
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.27952322439492505
the lambda is 2.0
the regulation term lambda/alpha is 7.155040531352397
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3537112241434086
the lambda is 2.0
the regulation term lambda/alpha is 5.654330039549778
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29717577075865853
the lambda is 2.0
the regulation term lambda/alpha is 6.730023766386506
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32347155482007683
the lambda is 2.0
the regulation term lambda/alpha is 6.182923877533687
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33848005234347983
the lambda is 2.0
the regulation term lambda/alpha is 5.908767698873012
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128443954500412
the lambda is 2.0
the regulation term lambda/alpha is 6.392954545734812
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33606745082168205
the lambda is 2.0
the regulation term lambda/alpha is 5.951186272606934
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31284022329986444
the lambda is 2.0
the regulation term lambda/alpha is 6.393039804484971
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32721238759096216
the lambda is 2.0
the regulation term lambda/alpha is 6.112238032076392
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3114130865543625
the lambda is 2.0
the regulation term lambda/alpha is 6.422337680567787
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3590007569166055
the lambda is 2.0
the regulation term lambda/alpha is 5.5710188947166825
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3637085153873222
the lambda is 2.0
the regulation term lambda/alpha is 5.498908921255667
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3166678677625426
the lambda is 2.0
the regulation term lambda/alpha is 6.315765518400261
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29905902501867826
the lambda is 2.0
the regulation term lambda/alpha is 6.687643015873159
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32034952051805904
the lambda is 2.0
the regulation term lambda/alpha is 6.243180875581346
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3280138133570051
the lambda is 2.0
the regulation term lambda/alpha is 6.097304194391446
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2974179104085978
the lambda is 2.0
the regulation term lambda/alpha is 6.724544588630746
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28702031709183956
the lambda is 2.0
the regulation term lambda/alpha is 6.968147831012424
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31047128321467327
the lambda is 2.0
the regulation term lambda/alpha is 6.4418196082151455
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34849436490206864
the lambda is 2.0
the regulation term lambda/alpha is 5.738973715004045
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3199151219046231
the lambda is 2.0
the regulation term lambda/alpha is 6.251658215132024
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3795456021701615
the lambda is 2.0
the regulation term lambda/alpha is 5.269459028281247
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33959599163386556
the lambda is 2.0
the regulation term lambda/alpha is 5.88935102083388
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3043806054373799
the lambda is 2.0
the regulation term lambda/alpha is 6.570720881266725
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2996243188996165
the lambda is 2.0
the regulation term lambda/alpha is 6.675025603212343
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3383461548781588
the lambda is 2.0
the regulation term lambda/alpha is 5.911106040853978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32114603636754185
the lambda is 2.0
the regulation term lambda/alpha is 6.227696354661095
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.29779229325485507
the lambda is 2.0
the regulation term lambda/alpha is 6.716090527864568
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3189615054343645
the lambda is 2.0
the regulation term lambda/alpha is 6.270349135944737
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3132622263902498
the lambda is 2.0
the regulation term lambda/alpha is 6.384427586581978
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33895723296999575
the lambda is 2.0
the regulation term lambda/alpha is 5.900449394384331
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.31508298331416573
the lambda is 2.0
the regulation term lambda/alpha is 6.347534160566908
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.33199457161075474
the lambda is 2.0
the regulation term lambda/alpha is 6.024194884562418
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.34755657143612234
the lambda is 2.0
the regulation term lambda/alpha is 5.754458883444191
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.28735721222480964
the lambda is 2.0
the regulation term lambda/alpha is 6.959978434212153
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32816341587263664
the lambda is 2.0
the regulation term lambda/alpha is 6.094524566919486
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2840015495771785
the lambda is 2.0
the regulation term lambda/alpha is 7.042215096986618
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3012336144070068
the lambda is 2.0
the regulation term lambda/alpha is 6.639365277799752
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3281885970263017
the lambda is 2.0
the regulation term lambda/alpha is 6.094056948114245
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.350793417166938
the lambda is 2.0
the regulation term lambda/alpha is 5.7013612631397415
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.32375351305062516
the lambda is 2.0
the regulation term lambda/alpha is 6.177539144377596
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.35021910519602684
the lambda is 2.0
the regulation term lambda/alpha is 5.710710724592102
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30502284735324064
the lambda is 2.0
the regulation term lambda/alpha is 6.556885877089205
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.30976994404208397
the lambda is 2.0
the regulation term lambda/alpha is 6.456404304118959
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3447597717484993
the lambda is 2.0
the regulation term lambda/alpha is 5.80114086355467
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.2922098168834826
the lambda is 2.0
the regulation term lambda/alpha is 6.8443970203694136
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.3128510658874572
the lambda is 2.0
the regulation term lambda/alpha is 6.392818238693378
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor
Convergence after  3  iterations
the alpha is 0.37875795234661247
the lambda is 2.0
the regulation term lambda/alpha is 5.280417183610027
1000
In [22]:
n=10 #number of samples
inconsistency_full_info_prior=np.array([])
ken_w_full_info_prior=np.array([])

while n<=1000:

    k=100#number of explanations 
    m=13# number of features
    i=1
    instance=3
    explanations=np.array([])
    while i<=k:
        exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
                                         model_regressor='Bay_info_prior',
                                         num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
        
        
        alpha_init=1
        lambda_init=1
        with open('.\posterior_configure.csv') as csv_file:
            csv_reader=csv.reader(csv_file)
            line_count = 0
            for row in csv_reader:
                if line_count == 1:
                    alpha_init=float(row[0])
                    lambda_init=float(row[1])
                line_count=line_count+1

        exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
                                        label=1)
        
        
        temp_list=exp.as_list()
        temp_array = np.array(temp_list)
        explanations=np.append(explanations,temp_array)
        i=i+1
    exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance.. 
    
    for exp in exps:
    #print(exp)
        i=1
        temp_vector=np.array([])
        while i<=(2*m-1):
            temp_vector=np.append(temp_vector,float(exp[i]))
            i=i+2
    #print(temp_vector)
        normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
    #print(normlised_temp_vector)
        i=1
        while i<=(2*m-1):
            exp[i]=normlised_temp_vector[math.floor(i/2)]
            i=i+2
    feature_names=np.array([])
    i=0
    while i<=(2*m-1):
        feature_names=np.append(feature_names,exps[0,i])
        i=i+2
    
    g_i_s=np.array([])
    f_i_s=np.array([])
    for feature in feature_names:
        g_i=importance_in_k_exp(feature,exps)
        f_i=rankings_in_k_exp(feature,exps)
        g_i_s=np.append(g_i_s,g_i)
        f_i_s=np.append(f_i_s,f_i)
    g_i_s=g_i_s.reshape(m,k)
    f_i_s=f_i_s.reshape(m,k)
    IoD_f_i_s=np.array([])
    for f_i in f_i_s:
        if np.mean(f_i)==0:
            IoD_f_i=0
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
        else:
            IoD_f_i=np.var(f_i)/np.mean(f_i)
            IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
    weights_g_i_s=np.array([])
    for g_i in g_i_s:
        weight=np.mean(abs(g_i.astype(np.float)))
        weights_g_i_s=np.append(weights_g_i_s,weight)
    weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
    inconsistency_full_info_prior=np.append(inconsistency_full_info_prior,np.dot(weights_g_i_s,IoD_f_i_s))
    
    ken_w_full_info_prior=np.append(ken_w_full_info_prior,kendall_w(f_i_s.T))
    
    print(n)
    n=n+10
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
10
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
20
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
30
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
40
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
50
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
60
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
70
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
80
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
90
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
100
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
110
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
120
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
130
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
140
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
150
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
160
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
170
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
180
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
190
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
200
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
210
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
220
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
230
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
240
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
250
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
260
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
270
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
280
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
290
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
300
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
310
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
320
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
330
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
340
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
350
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
360
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
370
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
380
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
390
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
400
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
410
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
420
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
430
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
440
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
450
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
460
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
470
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
480
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
490
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
500
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
510
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
520
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
530
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
540
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
550
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
560
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
570
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
580
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
590
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
600
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
610
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
620
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
630
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
640
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
650
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
660
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
670
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
680
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
690
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
700
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
710
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
720
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
730
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
740
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
750
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
760
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
770
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
780
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
790
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
800
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
810
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
820
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
830
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
840
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
850
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
860
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
870
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
880
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
890
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
900
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
910
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
920
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
930
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
940
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
950
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
960
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
970
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
980
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
990
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
using Bay_info_prior option for model regressor
the alpha is 0.1
the lambda is 2.0
the regulation term lambda/alpha is 20.0
1000
In [23]:
import matplotlib.pyplot as plt
x_index=np.array([])
i=10
while i<=1000:
    x_index=np.append(x_index,i)
    i=i+10
    

plt.plot(x_index,inconsistency_non_Bay,linestyle='-',color='red',label='LIME')
plt.plot(x_index,inconsistency_non_info,linestyle='-',color='green',label='BayLIME with non-informative priors')
plt.plot(x_index,inconsistency_info_prior_fit_alpha,linestyle='-',color='blue',label=r'BayLIME with partial informative priors ($\lambda=2$)')
plt.plot(x_index,inconsistency_full_info_prior,linestyle='-',color='orange',label=r'BayLIME with full informative priors ($\alpha=0.1,\lambda=2$)')

plt.legend(loc='upper right',fontsize=10)#bbox_to_anchor=(1,1)
#plt.axis([10, 300, 0,10])# set the ranges of axis
plt.xlabel('$n$')
plt.ylabel('inconsistency')
plt.grid(True)

plt.show()
In [24]:
plt.plot(x_index,ken_w_non_Bay,linestyle='-',color='red',label='LIME')
plt.plot(x_index,ken_w_non_info,linestyle='-',color='green',label='BayLIME with non-informative priors')
plt.plot(x_index,ken_w_info_prior_fit_alpha,linestyle='-',color='blue',label=r'BayLIME with partial informative priors ($\lambda=2$)')
plt.plot(x_index,ken_w_full_info_prior,linestyle='-',color='orange',label=r'BayLIME with full informative priors ($\alpha=0.1,\lambda=2$)')

plt.legend(fontsize=10)#bbox_to_anchor=(1,1) ,loc='upper right'
#plt.axis([10, 300, 0,10])# set the ranges of axis
plt.xlabel('$n$')
plt.ylabel('Kendall’s W')
plt.grid(True)

plt.show()
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